International Conference on Wirtschaftsinformatik (2023)
Building Habits in the Digital Age: Incorporating Psychological Needs and Knowledge from Practitioners to Inform the Design of Digital Therapeutics
Jeannette Stark, Thure Weimann, Felix Reinsch, Emily Hickmann, Maren Kählig, Carola Gißke, and Peggy Richter
This study reviews the psychological requirements for forming habits and analyzes how these requirements are implemented in existing mobile habit-tracking apps. Through a content analysis of 57 applications, the research identifies key design gaps and proposes a set of principles to inform the creation of more effective Digital Therapeutics (DTx) for long-term behavioral change.
Problem
Noncommunicable diseases (NCDs), a leading cause of death, often require sustained lifestyle and behavioral changes. While many digital apps aim to support habit formation, they often fail to facilitate the entire process, particularly the later stages where a habit becomes automatic and reliance on technology should decrease, creating a gap in effective long-term support.
Outcome
- Conventional habit apps primarily support the first two stages of habit formation: deciding on a habit and translating it into an initial behavior. - Most apps neglect the crucial later stages of habit strengthening, where technology use should be phased out to allow the habit to become truly automatic. - A conflict of interest was identified, as the commercial need for continuous user engagement in many apps contradicts the goal of making a user's new habit independent of the technology. - The research proposes specific design principles for Digital Therapeutics (DTx) to better support all four stages of habit formation, offering a pathway for developing more effective tools for NCD prevention and treatment.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge, the podcast where we translate complex research into actionable business strategy. I'm your host, Anna Ivy Summers. Host: Today, we're diving into a fascinating study titled "Building Habits in the Digital Age: Incorporating Psychological Needs and Knowledge from Practitioners to Inform the Design of Digital Therapeutics". Host: With me is our expert analyst, Alex Ian Sutherland. Alex, in a nutshell, what is this study about? Expert: Hi Anna. This study looks at the psychology behind how we form habits and then analyzes how well current mobile habit-tracking apps actually support that process. It identifies some major design gaps and proposes a new set of principles for creating more effective health apps, known as Digital Therapeutics. Host: Let's start with the big picture problem. Why is building better habits so critical? Expert: It's a huge issue. The study highlights that noncommunicable diseases like diabetes and heart disease are the leading cause of death worldwide, and many are directly linked to our daily lifestyle choices. Host: So things like diet and exercise. And we have countless apps that promise to help us with that. Expert: We do, and that's the core of the problem this study addresses. While thousands of apps aim to help us build good habits, they often fail to support the entire journey. They're good at getting you started, but they don't help you finish. Host: What do you mean by "finish"? Isn't habit formation an ongoing thing? Expert: It is, but the end goal is for the new behavior to become automatic—something you do without thinking. The study finds that current apps often fail in those crucial later stages, where your reliance on technology should actually decrease, not increase. Host: That’s a really interesting point. How did the researchers go about studying this? Expert: Their approach was very methodical. First, they reviewed psychological research to map out a clear, four-stage model of habit formation. It starts with the decision to act and ends with the habit becoming fully automatic. Expert: Then, they performed a detailed content analysis of 57 popular habit-tracking apps. They downloaded them, used them, and systematically scored their features against the requirements of those four psychological stages. Host: And what were the key findings from that analysis? Expert: The results were striking. The vast majority of apps are heavily focused on the first two stages: deciding on a habit and starting the behavior. They excel at things like daily reminders and tracking streaks. Host: But they're missing the later stages? Expert: Almost completely. For example, the study found that not a single one of the 57 apps they analyzed had features to proactively phase out reminders or rewards as a user's habit gets stronger. They keep you hooked on the app's triggers. Host: Why would that be? It seems counterintuitive to the goal of forming a real habit. Expert: It is, and that points to the second major finding: a fundamental conflict of interest. The business model for most of these apps relies on continuous user engagement. They need you to keep opening the app every day. Expert: But the psychological goal of habit formation is for the behavior to become independent of the app. So the app’s commercial need is often directly at odds with the user's health goal. Host: Okay, this is the critical part for our listeners. What does this mean for businesses in the health-tech space? Why does this matter? Expert: It matters immensely because it reveals a massive opportunity. The study positions this as a blueprint for a more advanced category of apps called Digital Therapeutics, or DTx. Host: Remind us what those are. Expert: DTx are essentially "prescription apps"—software that is clinically validated and prescribed by a doctor to treat or prevent a disease. Because they have a clear medical purpose, their goal isn't just engagement; it's a measurable health outcome. Host: So they can be designed to make themselves obsolete for a particular habit? Expert: Precisely. A DTx doesn't need to keep a user forever. Its success is measured by the patient getting better. The study provides a roadmap with specific design principles for this, like building in features for "tapered reminding," where notifications fade out over time. Host: So the business takeaway is to shift the focus from engagement metrics to successful user "graduation"? Expert: Exactly. For any company in the digital health or wellness space, the future isn't just about keeping users, it's about proving you can create lasting, independent behavioral change. That is a far more powerful value proposition for patients, doctors, and insurance providers. Host: A fascinating perspective. So, to summarize: today's habit apps get us started but often fail at the finish line due to a conflict between their business model and our psychological needs. Host: This study, however, provides a clear roadmap for the next generation of Digital Therapeutics to bridge that gap, focusing on clinical outcomes rather than just app usage. Host: Alex, thank you for making that so clear for us. Expert: My pleasure, Anna. Host: And thank you for tuning in to A.I.S. Insights — powered by Living Knowledge. Join us next time as we uncover more valuable insights from the world of research.
Behavioral Change, Digital Therapeutics, Habits, Habit Apps, Non-communicable diseases
Journal of the Association for Information Systems (2025)
In Search of a “Style:” Capturing the Collective Identity of Social Movements Based on Digital Trace Data
Theresa Henn-Latus, Sarah Tell, Julian Polenz, Thomas Kern, Oliver Posegga
This study investigates how online social movements form a collective identity, a topic of debate among scholars. Using socio-semantic network analysis of digital trace data from Twitter, the researchers conceptualize and measure the "style" of a movement, which combines both its cultural expressions and social interaction patterns. The German "Querdenken" movement, which protested COVID-19 measures, is used as a case study to demonstrate this methodology.
Problem
Scholars are divided on whether online activism can foster a strong, unifying collective identity necessary for sustained action. Previous research often fails to capture the full picture by focusing on either cultural aspects (like shared hashtags) or social structures (like user networks), but not their interplay. This study addresses this gap by proposing a dual approach that examines both cultural and social dynamics together to understand how a collective identity emerges and persists online.
Outcome
- The Querdenken movement successfully developed a distinct collective identity online, which manifested as recurring social and cultural patterns that persisted even as individual participants and leaders changed over time. - The movement's social structure was a decentralized "network of networks" with leadership roles emerging temporarily and shifting between users, rather than being held by fixed individuals or official chapter accounts. - The movement's identity was most strongly defined by its opposition to specific groups, primarily political authorities and scientific experts, whom they consistently portrayed with negative characteristics like incompetence and abuse of power. - Culturally, the movement portrayed itself as a collective of active, rational, and critical protesters, blending organized actions like demonstrations with broad, general calls for resistance.
Host: Welcome to A.I.S. Insights, powered by Living Knowledge. Today, we're diving into a fascinating study titled “In Search of a “Style:” Capturing the Collective Identity of Social Movements Based on Digital Trace Data.” Host: In short, it’s all about how online movements, the kind we see exploding on social media every day, actually build a shared, lasting identity. To help us unpack this, we have our expert analyst, Alex Ian Sutherland. Alex, welcome. Expert: Glad to be here, Anna. Host: Alex, we all see movements rise online, from brand boycotts to social causes. But there's a real question about whether they can last. What’s the core problem this study tackles? Expert: The big debate among scholars is whether that kind of fast-moving online activism can ever build the strong, unified identity a movement needs for sustained impact. Expert: Previous research tended to focus on one of two things: either the culture, like the shared hashtags and language, or the social structure, meaning the network of users. But they rarely looked at how those two things work together. Host: So it’s like trying to understand a company by looking at its marketing slogans or its org chart, but never both at the same time. Expert: That’s a perfect analogy. You miss the complete picture. This study closes that gap by proposing a way to look at both the cultural and social dynamics together to understand how a true collective identity is born and survives online. Host: So how did the researchers approach this? How do you actually measure something as fluid as an online identity? Expert: They introduced and measured the concept of a movement's "style." Think of it like a brand’s unique signature—it's a combination of its voice, its values, and how it engages with the world. Expert: In this case, "style" combines a movement's cultural patterns with its social patterns. They studied this by analyzing Twitter data from the German "Querdenken" movement, which protested COVID-19 measures. Host: And what did this "socio-semantic network analysis" of their style actually show? Did the movement manage to form a real identity? Expert: It absolutely did. That's the first key finding. The movement developed a distinct collective identity that persisted over time, even as the individual participants and leaders came and went. The identity itself became more durable than any single person within it. Host: That’s a powerful idea. What did that identity look like on the social level? Expert: Socially, it wasn't a pyramid with a leader at the top. It was a decentralized "network of networks." Leadership roles weren't fixed; they emerged temporarily and shifted between different users. The official accounts of the movement’s local chapters were almost never the most influential voices. Host: And culturally? What was the idea that held them all together? Expert: This is crucial. The identity was most strongly defined by what it was *against*. Their sense of "we" was built on a shared opposition to specific groups, mainly political authorities and scientific experts. Expert: They consistently portrayed these opponents with negative traits like incompetence and abuse of power, while framing themselves as active, rational, and critical protesters. Host: This is all fascinating, but let's get to the bottom line for our listeners. Why should a business leader or a brand manager care about the "style" of an online movement? Expert: There are huge implications. First, for building a brand community. This study is a blueprint for how powerful, self-sustaining online communities are formed. It shows that true identity isn't just about a shared interest; it's about a combination of a shared culture and specific patterns of interaction. Host: So it's less about top-down marketing and more about creating an environment where an identity can emerge? Expert: Precisely. It also has direct application in risk management. By analyzing a protest movement's "style," you can better predict its durability. Is that online criticism of your company just a fleeting hashtag, or does it show the signs of a persistent collective identity? Understanding its structure and narrative helps you gauge the real threat. Host: I would imagine this could also be a powerful tool for market intelligence. Expert: Without a doubt. This method can be used to understand any online collective, from customer groups to industry forums. You can identify who the real, emergent influencers are—not just those with the most followers—and grasp the core identity that drives their behavior. It's a way to get a much deeper read on your market or even your own employee base. Host: So, to summarize, to truly understand any online group, you have to look beyond surface metrics and analyze its unique "style"—the interplay between its cultural narrative and its social network structure. Expert: That's the key takeaway. This study demonstrates that a powerful online identity can be decentralized, have shifting leaders, and often finds its greatest strength in defining what it stands against. Host: A vital insight into the dynamics of our digital world. Alex, thank you for breaking this down for us. Expert: My pleasure, Anna. Host: And thank you for joining us on A.I.S. Insights, powered by Living Knowledge. We'll see you next time.
Collective Identity Online, Social Movements, Digital Trace Data, Socio-Semantic Networks, Connective Action, Leadership
Journal of the Association for Information Systems (2025)
Corporate Nomads: Working at the Boundary Between Corporate Work and Digital Nomadism
Julian Marx, Milad Mirbabaie, Stefan Stieglitz
This study explores the emerging phenomenon of 'corporate nomads'—individuals who maintain permanent employment while adopting a nomadic, travel-based lifestyle. Through qualitative interviews with 37 corporate nomads, the research develops a process model to understand how these employees and their organizations negotiate the boundaries between traditional corporate structures and the flexibility of digital nomadism.
Problem
Highly skilled knowledge workers increasingly desire the flexibility of a nomadic lifestyle, a concept traditionally seen as incompatible with permanent corporate employment. This creates a tension for organizations that need to attract and retain top talent but are built on location-dependent work models, leading to a professional paradox for employees wanting both stability and freedom.
Outcome
- The study develops a three-phase process model (splintering, calibrating, and harmonizing) that explains how corporate nomads and their organizations successfully negotiate this new work arrangement. - The integration of corporate nomads is not a one-sided decision but a mutual process of 'boundary work' requiring engagement, negotiation, and trade-offs from both the employee and the company. - Corporate nomads operate as individual outliers who change their personal work boundaries (e.g., location and time) without transforming the entire organization's structure. - Information Technology (IT) is crucial in managing the inherent tensions of this lifestyle, helping to balance organizational control with employee autonomy and enabling integration from a distance.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. In today's episode, we're diving into the future of work with a fascinating new study titled "Corporate Nomads: Working at the Boundary Between Corporate Work and Digital Nomadism". It explores how some people are successfully combining a permanent corporate job with a globetrotting lifestyle. To help us unpack this, we have our analyst, Alex Ian Sutherland. Welcome, Alex.
Expert: Great to be here, Anna.
Host: So Alex, let's start with the big picture. We hear a lot about the 'great resignation' and the demand for flexibility. What's the specific problem this study addresses?
Expert: It tackles a real tension in the modern workplace. You have highly skilled professionals who want the freedom and travel of a digital nomad, but also the stability and benefits of a permanent job. For decades, those two things were seen as completely incompatible.
Host: A professional paradox, wanting both stability and total freedom.
Expert: Exactly. And companies are caught in the middle. They need to attract and retain this top talent, but their entire structure—from HR policies to tax compliance—is built for employees who are in a specific location. This study explores how some employees and companies are actually making this paradox work.
Host: So how did the researchers figure out how they're making it work? What was their approach?
Expert: They went straight to the source. The research team conducted in-depth, qualitative interviews with 37 of these ‘corporate nomads’. They collected detailed stories about their journeys, their negotiations with their bosses, and the challenges they faced, which allowed them to build a model based on real-world experience.
Host: And what did that model reveal? What are the key findings?
Expert: The study found that successfully integrating a corporate nomad isn't just a simple decision; it's a mutual process that unfolds in three distinct phases: splintering, calibrating, and harmonizing.
Host: Splintering, calibrating, harmonizing. That sounds very methodical. Can you walk us through what each of those mean?
Expert: Of course. 'Splintering' is the initial break from the norm. It’s when an employee, as an individual, starts to deviate from the company's standard location-based practices. This often begins as a test period, maybe a three-month 'workation', to see if it's feasible.
Host: So it’s a trial run, not a sudden, permanent change.
Expert: Precisely. Next comes 'calibrating'. This is the negotiation phase where both the employee and the company establish the new rules. It involves trade-offs. For example, the employee might agree to overlap their working hours with the home office, while the company agrees to manage them based on output, not hours spent online.
Host: And the final phase, 'harmonizing'?
Expert: Harmonizing is when the arrangement becomes the new, stable reality for that individual. New habits and communication rituals are established, often heavily reliant on technology. It’s a crucial finding that these corporate nomads operate as individual outliers; their arrangement doesn't transform the entire company, but it proves it’s possible.
Host: You mentioned technology. I assume IT is the glue that holds all of this together?
Expert: Absolutely. Technology is what makes this entire concept viable. The study highlights that IT tools, from communication platforms like Slack to project management software, are essential for balancing organizational control with the employee’s need for autonomy. It allows for integration from a distance.
Host: This brings us to the most important question for our listeners, Alex. Why does this matter for business? What are the practical takeaways for managers and leaders?
Expert: This is incredibly relevant. The first and biggest takeaway is about talent. In the fierce competition for skilled workers, offering this level of flexibility is a powerful advantage for attracting and retaining top performers who might otherwise leave for freelance life.
Host: So it's a strategic tool in the war for talent.
Expert: Yes, and it also opens up a global talent pool. A company is no longer limited to hiring people within commuting distance. They can hire the best software developer or marketing strategist, whether they live in Berlin, Bali, or Brazil.
Host: What advice does this give a manager who gets a request like this from a top employee?
Expert: The key is to see it as a negotiated process, not a simple yes-or-no policy decision. The study’s three-phase model provides a roadmap. Start with a trial period—the splintering phase. Then, collaboratively define the rules and trade-offs—the calibrating phase. Don't try to create a one-size-fits-all policy from the start.
Host: It sounds like it requires a real shift in managerial mindset.
Expert: It does. Success hinges on moving away from managing by presence to managing by trust and results. One person interviewed put it bluntly: if a manager doesn't trust their employees to work remotely, they're either a bad boss or they've hired the wrong people. It’s about focusing on the output, not the location.
Host: That's a powerful thought to end on. So, to recap: corporate nomads represent a new fusion of job stability and lifestyle freedom. Making it work is a three-phase process of splintering, calibrating, and harmonizing, built on mutual negotiation and enabled by technology. For businesses, this is a strategic opportunity to win and keep top talent, provided they are willing to embrace a culture of trust and flexibility.
Host: Alex, thank you so much for breaking down this insightful study for us.
Expert: My pleasure, Anna.
Host: And thank you to our audience for listening to A.I.S. Insights — powered by Living Knowledge. Join us next time as we continue to explore the ideas shaping business and technology.
Corporate Nomads, Digital Nomads, Boundary Work, Digital Work, Information Systems
Journal of the Association for Information Systems (2025)
Making Sense of Discursive Formations and Program Shifts in Large-Scale Digital Infrastructures
Egil Øvrelid, Bendik Bygstad, Ole Hanseth
This study examines how public and professional discussions, known as discourses, shape major changes in large-scale digital systems like national e-health infrastructures. Using an 18-year in-depth case study of Norway's e-health development, the research analyzes how high-level strategic trends interact with on-the-ground practical challenges to drive fundamental shifts in technology programs.
Problem
Implementing complex digital infrastructures like national e-health systems is notoriously difficult, and leaders often struggle to understand why some initiatives succeed while others fail. Previous research focused heavily on the role of powerful individuals or groups, paying less attention to the underlying, systemic influence of how different conversations about technology and strategy converge over time. This gap makes it difficult for policymakers to make sensible, long-term decisions and navigate the evolution of these critical systems.
Outcome
- Major shifts in large digital infrastructure programs occur when high-level strategic discussions (macrodiscourses) and practical, operational-level discussions (microdiscourses) align and converge. - This convergence happens through three distinct processes: 'connection' (a shared recognition of a problem), 'matching' (evaluating potential solutions that fit both high-level goals and practical needs), and 'merging' (making a decision and reconciling the different perspectives). - The result of this convergence is a new "discursive formation"—a powerful, shared understanding that aligns stakeholders, technology, and strategy, effectively launching a new program and direction. - Policymakers and managers can use this framework to better analyze the alignment between broad technological trends and their organization's specific, internal needs, leading to more informed and realistic strategic planning.
Host: Welcome to A.I.S. Insights, the podcast where we connect big ideas with business reality, powered by Living Knowledge. I’m your host, Anna Ivy Summers.
Host: Today we're diving into a fascinating new study titled "Making Sense of Discursive Formations and Program Shifts in Large-Scale Digital Infrastructures." In short, it explores how the conversations we have—both in the boardroom and on the front lines—end up shaping massive technological changes, like a national e-health system.
Host: To help us break it down, we have our expert analyst, Alex Ian Sutherland. Welcome, Alex.
Expert: It's great to be here, Anna.
Host: So, Alex, let's start with the big picture. We've all seen headlines about huge, expensive government or corporate IT projects that go off the rails. What's the core problem this study is trying to solve?
Expert: The core problem is exactly that. Leaders of these massive digital infrastructure projects, whether in healthcare, finance, or logistics, often struggle to understand why some initiatives succeed and others fail spectacularly. For a long time, the thinking was that it all came down to a few powerful decision-makers.
Host: But this study suggests it's more complicated than that.
Expert: Exactly. It argues that we've been paying too little attention to the power of conversations themselves—and how different streams of discussion come together over time to create real, systemic change. It’s not just about what one CEO decides; it’s about the alignment of many different voices.
Host: How did the researchers even begin to study something as broad as "conversations"? What was their approach?
Expert: They took a very deep, long-term view. The research is built on an incredible 18-year case study of Norway's national e-health infrastructure development. They analyzed everything from high-level policy documents and media reports to interviews with the clinicians and IT staff actually using the systems day-to-day.
Host: Eighteen years. That's some serious dedication. After all that time, what did they find is the secret ingredient for making these major program shifts happen successfully?
Expert: The key finding is a concept they call "discourse convergence." It sounds academic, but the idea is simple. A major shift only happens when the high-level, strategic conversations, which they call 'macrodiscourses', finally align with the practical, on-the-ground conversations, the 'microdiscourses'.
Host: Can you give us an example of those two types of discourse?
Expert: Absolutely. A 'macrodiscourse' is the big-picture buzz. Think of consultants and politicians talking about exciting new trends like 'Service-Oriented Architecture' or 'Digital Ecosystems'. A 'microdiscourse', on the other hand, is the reality on the ground. It's the nurse complaining that the systems are so fragmented she has to tell a patient's history over and over again because the data doesn't connect.
Host: And a major program shift occurs when those two worlds meet?
Expert: Precisely. The study found this happens through a three-step process. First is 'connection', where everyone—from the C-suite to the front line—agrees that there's a significant problem. Second is 'matching', where potential solutions are evaluated to see if they fit both the high-level strategic goals and the practical, day-to-day needs.
Host: And the final step?
Expert: The final step is 'merging'. This is where a decision is made, and a new, shared understanding is formed that reconciles those different perspectives. That new shared understanding is powerful—it aligns the stakeholders, the technology, and the strategy, effectively launching a whole new direction for the program.
Host: This is the critical question, then. What does this mean for business leaders listening right now? How can they apply this framework to their own digital transformation projects?
Expert: This is where it gets really practical. The biggest takeaway is that leaders must listen to both conversations. It’s easy to get swept up in the latest tech trend—the macrodiscourse. But if that new strategy doesn't solve a real, tangible pain point for your employees or customers—the microdiscourse—it's destined to fail.
Host: So it's about bridging the gap between the executive suite and the people actually doing the work.
Expert: Yes, and leaders need to be proactive about it. Don't just wait for these conversations to align by chance. Create forums where your big-picture strategists and your on-the-ground operators can find that 'match' together. Use this as a diagnostic tool. Ask yourself: is the grand vision for our new platform completely disconnected from the daily struggles our teams are facing with the old one? If the answer is yes, you have a problem.
Host: A brilliant way to pressure-test a strategy. So, to sum up, these huge technology shifts aren't just top-down mandates. They succeed when high-level strategy converges with on-the-ground reality, through a process of connecting on a problem, matching a viable solution, and merging toward a new, shared goal.
Expert: That's the perfect summary, Anna.
Host: Alex Ian Sutherland, thank you so much for translating this complex research into such clear, actionable insights.
Expert: My pleasure.
Host: And thanks to all of you for tuning in to A.I.S. Insights, powered by Living Knowledge. Join us next time as we decode another big idea for your business.
Discursive Formations, Discourse Convergence, Large-Scale Digital Infrastructures, E-Health Programs, Program Shifts, Sociotechnical Systems, IT Strategy
Journal of the Association for Information Systems (2025)
Toward Triadic Delegation: How Agentic IS Artifacts Affect the Patient-Doctor Relationship in Healthcare
Pascal Fechner, Luis Lämmermann, Jannik Lockl, Maximilian Röglinger, Nils Urbach
This study investigates how autonomous information systems (agentic IS artifacts) are transforming the traditional two-way relationship between patients and doctors into a three-way, or triadic, relationship. Using an in-depth case study of an AI-powered health companion for managing neurogenic lower urinary tract dysfunction, the paper analyzes the new dynamics, roles, and interactions that emerge when an intelligent technology becomes an active participant in healthcare delivery.
Problem
With the rise of artificial intelligence in medicine, autonomous systems are no longer just passive tools but active agents in patient care. This shift challenges the conventional patient-doctor dynamic, yet existing theories are ill-equipped to explain the complexities of this new three-part relationship. This research addresses the gap in understanding how these AI agents redefine roles, interactions, and potential conflicts in patient-centric healthcare.
Outcome
- The introduction of an AI agent transforms the dyadic patient-doctor relationship into a triadic one, often with the AI acting as a central intermediary. - The AI's capabilities create 'attribute interference,' where responsibilities and knowledge overlap between the patient, doctor, and AI, introducing new complexities. - New 'triadic delegation choices' emerge, allowing tasks to be delegated to the doctor, the AI, or both, based on factors like task complexity and emotional context. - The study identifies novel conflicts arising from this triad, including human concerns over losing control (autonomy conflicts), new information imbalances, and the blurring of traditional medical roles.
Host: Welcome to A.I.S. Insights, the podcast at the intersection of business and technology, powered by Living Knowledge. I’m your host, Anna Ivy Summers. Host: Today, we're diving into a fascinating new study titled, "Toward Triadic Delegation: How Agentic IS Artifacts Affect the Patient-Doctor Relationship in Healthcare." Host: With me is our expert analyst, Alex Ian Sutherland. Alex, welcome. Expert: Great to be here, Anna. Host: So, this study sounds quite specific, but it has broad implications. In a nutshell, what is it about? Expert: It’s about how smart, autonomous AI systems are fundamentally changing the traditional two-way relationship between a professional and their client—in this case, a doctor and a patient—by turning it into a three-way relationship. Host: A three-way relationship? You mean Patient, Doctor, and... AI? Expert: Exactly. The AI is no longer just a passive tool; it’s an active participant, an agent, in the process. This study looks at the new dynamics, roles, and interactions that emerge from this triad. Host: That brings us to the big problem this research is tackling. Why is this shift from a two-way to a three-way relationship such a big deal? Expert: Well, the classic patient-doctor dynamic is built on direct communication and trust. But as AI becomes more capable, it starts taking on tasks, making suggestions, and even acting on its own. Host: It's doing more than just showing data on a screen. Expert: Precisely. It's becoming an agent. The problem is, our existing models for how we work and interact don't account for this third, non-human agent in the room. This creates a gap in understanding how roles are redefined and where new conflicts might arise. Host: How did the researchers actually study this? What was their approach? Expert: They conducted a very detailed, in-depth case study. They focused on a specific piece of technology: an AI-powered health companion designed to help patients manage a complex bladder condition. Host: So, a real-world application. Expert: Yes. It involved a wearable sensor and a smartphone app that monitors the patient's condition and provides real-time guidance. The researchers closely observed the interactions between patients, their doctors, and this new AI agent to see how the relationship changed over time. Host: Let’s get into those changes. What were the key findings from the study? Expert: The first major finding is that the AI almost always becomes a central intermediary. Communication that was once directly between the patient and doctor now often flows through the AI. Host: So the AI is like a new go-between? Expert: In many ways, yes. The second finding, which is really interesting, is something they call 'attribute interference'. Host: That sounds a bit technical. What does it mean for us? Expert: It just means that the responsibilities and even the knowledge start to overlap. For instance, both the doctor and the AI can analyze patient data to spot a potential infection. This creates confusion: Who is responsible? Who should the patient listen to? Host: I can see how that would get complicated. What else did they find? Expert: They found that new 'triadic delegation choices' emerge. Patients and doctors now have to decide which tasks to give to the human and which to the AI. Host: Can you give an example? Expert: Absolutely. A routine task, like logging data 24/7, is perfect for the AI. But delivering a difficult diagnosis—a task with a high emotional context—is still delegated to the doctor. The choice depends on the task's complexity and emotional weight. Host: And I imagine this new setup isn't without its challenges. Did the study identify any new conflicts? Expert: It did. The most common were 'autonomy conflicts'—basically, a fear from both patients and doctors of losing control to the AI. There were also new information imbalances and a blurring of the lines around traditional medical roles. Host: This is the crucial part for our listeners, Alex. Why does this matter for business leaders, even those outside of healthcare? Expert: Because this isn't just a healthcare phenomenon. Anywhere you introduce an advanced AI to mediate between your employees and your customers, or even between different teams, you are creating this same triadic relationship. Host: So a customer service chatbot that works with both a customer and a human agent would be an example. Expert: A perfect example. The key business takeaway is that you can't design these systems as simple tools. You have to design them as teammates. This means clearly defining the AI's role, its responsibilities, and its boundaries. Host: It's about proactive management of that new relationship. Expert: Exactly. Businesses need to anticipate 'attribute interference'. If an AI sales assistant can draft proposals, you need to clarify how that affects the role of your human sales team. Who has the final say? How do they collaborate? Host: So clarity is key. Expert: Clarity and trust. The study showed that conflicts arise from ambiguity. For businesses, this means being transparent about what the AI does and how it makes decisions. You have to build trust not just between the human and the AI, but between all three agents in the new triad. Host: Fascinating stuff. So, to summarize, as AI becomes more autonomous, it’s not just a tool, but a third agent in professional relationships. Expert: That's the big idea. It turns a simple line into a triangle, creating new pathways for communication and delegation, but also new potential points of conflict. Host: And for businesses, the challenge is to manage that triangle by designing for collaboration, clarifying roles, and intentionally building trust between all parties—human and machine. Host: Alex, thank you so much for breaking this down for us. This gives us a lot to think about. Expert: My pleasure, Anna. Host: And thank you to our listeners for tuning into A.I.S. Insights. Join us next time as we continue to explore the future of business and technology.
Agentic IS Artifacts, Delegation, Patient-Doctor Relationship, Personalized Healthcare, Triadic Delegation, Healthcare AI
Communications of the Association for Information Systems (2025)
Conceptualizing IT Artefacts for Policymaking – How IT Artefacts Evolve as Policy Objects
Karin Väyrynen, Sari Laari-Salmela, Netta Iivari, Arto Lanamäki, Marianne Kinnula
This study explores how an information technology (IT) artefact evolves into a 'policy object' during the policymaking process, using a 4.5-year longitudinal case study of the Finnish Taximeter Law. The research proposes a conceptual framework that identifies three forms of the artefact as it moves through the policy cycle: a mental construct, a policy text, and a material IT artefact. This framework helps to understand the dynamics and challenges of regulating technology.
Problem
While policymaking related to information technology is increasingly significant, the challenges stemming from the complex, multifaceted nature of IT are poorly understood. There is a specific gap in understanding how real-world IT artefacts are translated into abstract policy texts and how those texts are subsequently reinterpreted back into actionable technologies. This 'translation' process often leads to ambiguity and unintended consequences during implementation.
Outcome
- Proposes a novel conceptual framework for understanding the evolution of an IT artefact as a policy object during a public policy cycle. - Identifies three distinct forms the IT artefact takes: 1) a mental construct in the minds of policymakers and stakeholders, 2) a policy text such as a law, and 3) a material IT artefact as a real-world technology that aligns with the policy. - Highlights the significant challenges in translating complex real-world technologies into abstract legal text and back again, which can create ambiguity and implementation difficulties. - Distinguishes between IT artefacts at the policy level and IT artefacts as real-world technologies, showing how they evolve on separate but interconnected tracks.
Host: Welcome to A.I.S. Insights, powered by Living Knowledge. In a world of fast-paced tech innovation, how do laws and policies keep up? Today, we're diving into a fascinating study that unpacks this very question. It's titled "Conceptualizing IT Artefacts for Policymaking – How IT Artefacts Evolve as Policy Objects".
Host: With me is our analyst, Alex Ian Sutherland. Alex, this study looks at how a piece of technology becomes something that policymakers can actually regulate. Why is that important?
Expert: It's crucial, Anna. Technology is complex and multifaceted, but laws are abstract text. The study explores how an IT product evolves as it moves through the policy cycle, using a real-world example of the Finnish Taximeter Law. It shows how challenging, and important, it is to get that translation right.
Host: Let's talk about that challenge. What is the big problem this study addresses?
Expert: The core problem is that policymakers often struggle to understand the technology they're trying to regulate. There's a huge gap in understanding how a real-world IT product, like a ride-sharing app, gets translated into abstract policy text, and then how that text is interpreted back into a real, functioning technology.
Host: So it's a translation issue, back and forth?
Expert: Exactly. And that translation process is full of pitfalls. The study followed the Finnish government's attempt to update their taximeter law. The old law only allowed certified, physical taximeters. But with the rise of apps like Uber, they needed a new law to allow "other devices or systems". The ambiguity in how they wrote that new law created a lot of confusion and unintended consequences.
Host: How did the researchers go about studying this problem?
Expert: They took a very in-depth approach. It was a 4.5-year longitudinal case study. They analyzed over a hundred documents—draft laws, stakeholder statements, meeting notes—and conducted dozens of interviews with regulators, tech providers, and taxi federations. They watched the entire policy cycle unfold in real time.
Host: And after all that research, what were the key findings? What did they learn about how technology evolves into a "policy object"?
Expert: They developed a fantastic framework that identifies three distinct forms the technology takes. First, it exists as a 'mental construct' in the minds of policymakers. It's their idea of what the technology is—for instance, "an app that can calculate a fare".
Host: Okay, so it starts as an idea. What's next?
Expert: That idea is translated into a 'policy text' – the actual law or regulation. This is where it gets tricky. The Finnish law described the new technology based on certain functions, like measuring time and distance to a "corresponding level" of accuracy as a physical taximeter.
Host: That sounds a little vague.
Expert: It was. And that leads to the third form: the 'material IT artefact'. This is the real-world technology that companies build to comply with the law. Because the policy text was ambiguous, a whole range of technologies appeared. Some were sophisticated ride-hailing platforms, but others were just uncertified apps or devices bought online that technically met the vague definition. The study shows these three forms evolve on separate but connected tracks.
Host: This is the critical part for our listeners, Alex. Why does this matter for business leaders and tech innovators today?
Expert: It matters immensely, especially with regulations like the new European AI Act on the horizon. That Act defines what an "AI system" is. That definition—that 'policy text'—will determine whether your company's product is considered high-risk and subject to intense scrutiny and compliance costs.
Host: So, if your product fits the law's definition, you're in a completely different regulatory bracket.
Expert: Precisely. The study teaches us that businesses cannot afford to ignore the policymaking process. You need to engage when the 'mental construct' is being formed, to help policymakers understand the technology's reality. You need to pay close attention to the wording of the 'policy text' to anticipate how it will be interpreted.
Host: And the takeaway for product development?
Expert: Your product—your 'material IT artefact'—exists in the real world, but its legitimacy is determined by the policy world. Businesses must understand that these are two different realms that are often disconnected. The successful companies will be the ones that can bridge that gap, ensuring their innovations align with policy, or better yet, help shape sensible policy from the start.
Host: So, to recap: technology in the eyes of the law isn't just one thing. It's an idea in a regulator's mind, it's the text of a law, and it's the actual product in the market. Understanding how it transforms between these states is vital for navigating the modern regulatory landscape.
Host: Alex, thank you for breaking that down for us. It’s a powerful lens for viewing the intersection of tech and policy.
Expert: My pleasure, Anna.
Host: And thank you to our audience for tuning into A.I.S. Insights. Join us next time as we translate more knowledge into action.
IT Artefact, IT Regulation, Law, Policy Object, Policy Cycle, Public Policymaking, European Al Act
Communications of the Association for Information Systems (2024)
Career Trajectory Analysis of Fortune 500 CIOs: A LinkedIn Perspective
Benjamin Richardson, Degan Kettles, Daniel Mazzola, Hao Li
This study analyzes the career paths of Chief Information Officers (CIOs) at Fortune 500 companies and compares them to other C-suite executives. Using career data from 2,821 executives on LinkedIn, supplemented by interviews with six Fortune 500 CIOs, the research identifies the unique demographic, educational, and professional characteristics that define a CIO's journey to the top.
Problem
While the CIO role is critical for corporate success, there is limited comprehensive data on how individuals ascend to this position, especially compared to roles like CEO or CFO. Previous studies were often based on small sample sizes, creating a knowledge gap about the specific skills, experiences, and timelines necessary to become a CIO at a top-tier organization.
Outcome
- Aspiring CIOs tend to be more racially diverse, work for more companies, and hold more positions over their careers compared to other C-suite executives. - The path to becoming a Fortune 500 CIO is the longest among executive roles, averaging 23.5 years from career start. - CIOs are more likely to have a technical undergraduate degree (70.7%) and pursue business-related education at the graduate level. - Internal promotion is the most significant factor in accelerating a CIO's career, reducing the time to reach a top C-level position by nearly 2.5 years compared to external hires.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. Today we're diving into a fascinating study titled "Career Trajectory Analysis of Fortune 500 CIOs: A LinkedIn Perspective". Host: This study analyzes the unique career paths of Chief Information Officers at top companies, comparing them to other C-suite roles to understand what really defines a CIO's journey to the top. Joining me is our expert analyst, Alex Ian Sutherland. Alex, welcome. Expert: Thanks for having me, Anna. Host: So Alex, the CIO role feels so established today. Why was this study necessary? What was the big problem that needed solving? Expert: That's a great question. The CIO is absolutely critical for corporate success, but there's been a real knowledge gap. We have a decent understanding of the path to becoming a CEO or CFO, but the roadmap for a CIO was much less clear. Expert: Previous studies were often based on very small samples, creating an incomplete picture of the specific skills, experiences, and timelines needed to become a CIO at a top-tier organization. Host: So how did the researchers tackle this? How do you accurately map out hundreds of complex careers? Expert: They took a very modern approach. They analyzed the public career data from over 2,800 Fortune 500 executives on LinkedIn, including 400 CIOs. This gave them a massive dataset on education, job history, and career progression. Expert: But they didn't just stop at the data. To add real-world context, they also conducted in-depth interviews with six Fortune 500 CIOs. This blend of large-scale data and qualitative insight is what makes their findings so powerful. Host: That sounds very thorough. Let's get to the results. What did they find? Does the path to the CIO's office look different from other executive tracks? Expert: It looks very different. The study uncovered several distinct patterns. First, the path to becoming a Fortune 500 CIO is the longest of all C-suite roles, averaging 23.5 years from career start to finish. Host: Twenty-three and a half years. That’s a true marathon. What else stood out? Expert: Aspiring CIOs are much more mobile. They work for more companies and hold more positions throughout their careers compared to other executives. They're constantly gathering diverse experiences rather than just climbing a single corporate ladder. Host: That’s interesting. So they are gathering a breadth of experience. What about their educational background? Are they all computer science graduates? Expert: This is another key insight. Over 70% of CIOs start with a technical or non-business undergraduate degree. They build that strong technical foundation first. Then, as they advance, they often pursue business-related graduate degrees to develop strategic acumen. Host: And the study also highlighted something interesting about diversity in the role. Expert: It did. While there's still a long way to go, the findings show that the CIO role is the most racially diverse among the C-suite positions studied, with about 25% of CIOs identified as non-white. Host: This is all great context, but let's get to the bottom line for our listeners. What are the key business takeaways? If I'm a CEO or on a hiring committee, what should I learn from this? Expert: The biggest takeaway is about talent strategy. If you want to develop a future CIO, you must understand their unique journey. Don't silo your top tech talent in the IT department. Companies need to provide broad exposure to different parts of the business. Host: That makes sense—building bridges between technology and business strategy. What about for aspiring CIOs themselves? The study mentioned a clear way to accelerate that 23-year journey. Expert: Yes, it found one very clear "fast track." The single most significant factor in reducing the time to a top CIO position is internal promotion. Expert: The analysis shows that being promoted from within a Fortune 500 company can shorten the path to that C-level role by nearly two and a half years compared to being hired externally. Host: So even though aspiring CIOs tend to move around a lot early on, that final leap is often an inside job. Expert: Exactly. That early mobility is about building a diverse toolkit of experiences, but the data suggests that companies prefer to make that final, critical promotion from a pool of candidates they already know and trust. Host: Alex, this has been incredibly insightful. Let me recap the key points. The journey to the Fortune 500 CIO office is a long one, typically starting with a technical education before adding business skills. Host: These leaders gain experience across more companies and roles than their peers. And for businesses, the most powerful strategy for finding your next great tech leader might be to cultivate and promote talent from right within your own organization. Host: Alex Ian Sutherland, thank you so much for breaking down this study for us today. Expert: It was my pleasure, Anna. Host: And thank you to our audience for tuning in to A.I.S. Insights, powered by Living Knowledge. Join us next time.
CIO, IT Leadership, Fortune 500, LinkedIn, Career Progression, Mixed Methods
Communications of the Association for Information Systems (2024)
Frugal Fintech Ecosystem Development: A Resource Orchestration Perspective
Prakash Dhavamani, Barney Tan, Daniel Gozman, Leben Johnson
This study investigates how a financial technology (Fintech) ecosystem was successfully established in a resource-constrained environment, using the Vizag Fintech Valley in India as a case study. The research examines the specific processes of gathering resources, building capabilities, and creating market value under significant budget limitations. It proposes a practical framework to guide the development of similar 'frugal' innovation hubs in other developing regions.
Problem
There is limited research on how to launch and develop a Fintech ecosystem, especially in resource-scarce developing countries where the potential benefits like financial inclusion are greatest. Most existing studies focus on developed nations, and their findings are not easily transferable to environments with tight budgets, a lack of specialized talent, and less mature infrastructure. This knowledge gap makes it difficult for policymakers and entrepreneurs to create successful Fintech hubs in these regions.
Outcome
- The research introduces a practical framework for building Fintech ecosystems in resource-scarce settings, called the Frugal Fintech Ecosystem Development (FFED) framework. - The framework identifies three core stages: Structuring (gathering and prioritizing available resources), Bundling (combining resources to build capabilities), and Leveraging (using those capabilities to seize market opportunities). - It highlights five key sub-processes for success in a frugal context: bricolaging (creatively using resources at hand), prioritizing, emulating (learning from established ecosystems), extrapolating, and sandboxing (safe, small-scale experimentation). - The study shows that by orchestrating resources effectively, even frugal ecosystems can achieve outcomes comparable to those in well-funded regions, a concept termed 'equifinality'. - The findings offer an evidence-based guide for policymakers to design regulations and support models that foster sustainable Fintech growth in developing economies.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. In today's interconnected world, innovation hubs are seen as engines of economic growth. But can you build one without massive resources? That's the question at the heart of a fascinating study we're discussing today titled, "Frugal Fintech Ecosystem Development: A Resource Orchestration Perspective".
Host: It investigates how a financial technology, or Fintech, ecosystem was successfully built in a resource-constrained environment in India, proposing a framework that could be a game-changer for developing regions. Here to break it down for us is our analyst, Alex Ian Sutherland. Welcome, Alex.
Expert: Thanks for having me, Anna.
Host: Alex, let's start with the big picture. What's the real-world problem this study is trying to solve?
Expert: The core problem is a major knowledge gap. Everyone talks about the potential of Fintech to drive financial inclusion and economic growth, especially in developing countries. But almost all the research and successful models we have are from well-funded, developed nations like the US or the UK.
Host: And those models don't just copy and paste into a different environment.
Expert: Exactly. A region with a tight budget, a shortage of specialized talent, and less mature infrastructure can't follow the Silicon Valley playbook. The study points out that Fintech startups already have a shockingly high failure rate—around 90% in their first six years. In a resource-scarce setting, that risk is even higher. So, policymakers and entrepreneurs in these areas were essentially flying blind.
Host: So how did the researchers approach this challenge? How did they figure out what a successful frugal model looks like?
Expert: They went directly to the source. They conducted a deep-dive case study of the Vizag Fintech Valley in India. This was a city that, despite significant financial constraints, managed to build a vibrant and successful Fintech hub. The researchers interviewed 26 key stakeholders—everyone from government regulators and university leaders to startup founders and investors—to piece together the story of exactly how they did it.
Host: It sounds like they got a 360-degree view. What were the key findings that came out of this investigation?
Expert: The main output is a practical guide they call the Frugal Fintech Ecosystem Development, or FFED, framework. It breaks the process down into three core stages: Structuring, Bundling, and Leveraging.
Host: Let's unpack that. What happens in the 'Structuring' stage?
Expert: Structuring is all about gathering the resources you have, not the ones you wish you had. In Vizag, this meant repurposing unused land for infrastructure and bringing in a leadership team that had already successfully built a tech hub in a nearby city. It’s about being resourceful from day one.
Host: Okay, so you've gathered your parts. What is 'Bundling'?
Expert: Bundling is where you combine those parts to create real capabilities. For example, Vizag’s leaders built partnerships between universities and companies to train a local, skilled workforce. They connected startups in incubation hubs so they could learn from each other. They were actively building the engine of the ecosystem.
Host: Which brings us to 'Leveraging'. I assume that's when the engine starts to run?
Expert: Precisely. Leveraging is using those capabilities to seize market opportunities and create value. A key part of this was a concept the study highlights called 'sandboxing'.
Host: Sandboxing? That sounds intriguing.
Expert: It's essentially creating a safe, controlled environment where Fintech firms can experiment with new technologies on a small scale. Regulators in Vizag allowed startups to test blockchain solutions for government services, for instance. This lets them prove their concept and work out the kinks without huge risk, which is critical when you can't afford big failures.
Host: That makes perfect sense. Alex, this is the most important question for our audience: Why does this matter for business? What are the practical takeaways?
Expert: This is a playbook for smart, sustainable growth. For policymakers in emerging economies, it shows you don't need a blank check to foster innovation. The focus should be on orchestrating resources—connecting academia with industry, creating mentorship networks, and enabling safe experimentation.
Host: And for entrepreneurs or investors?
Expert: For entrepreneurs, the message is that resourcefulness trumps resources. This study proves you can build a successful company outside of a major, well-funded hub by creatively using what's available locally. For investors, it's a clear signal to look for opportunities in these frugal ecosystems. Vizag attracted over 900 million dollars in investment in its first year. That shows that effective organization and a frugal mindset can generate returns just as impressive as those in well-funded regions. The study calls this 'equifinality'—the idea that you can reach the same successful outcome through a different, more frugal path.
Host: So, to sum it up: building a thriving tech hub on a budget isn't a fantasy. By following a clear framework of structuring, bundling, and leveraging resources, and by using clever tactics like sandboxing, regions can create their own success stories.
Expert: That's it exactly. It’s a powerful and optimistic model for global innovation.
Host: A fantastic insight. Thank you so much for your time and expertise, Alex.
Expert: My pleasure, Anna.
Host: And thanks to all our listeners for tuning into A.I.S. Insights. Join us next time as we continue to explore the ideas shaping business and technology.
Fintech Ecosystem, India, Frugal Innovation, Resource Orchestration, Case Study
Communications of the Association for Information Systems (2024)
Blockchain Technology in Commercial Real Estate: Developing a Conceptual Design for Smart Contracts
Evgeny Exter, Milan Radosavljevic
This study proposes a conceptual design for smart contracts on the Ethereum blockchain to transform commercial real estate transactions. Using an action design science research methodology, the paper develops and validates a prototype that employs tokenization to address inefficiencies. The research focuses on the Swiss real estate market to demonstrate how this technology can create more transparent, secure, and efficient processes.
Problem
Commercial real estate transactions are inherently complex, inefficient, and costly due to multiple intermediaries, high volumes of documentation, and the illiquid nature of the assets. This process suffers from a lack of transparency and information asymmetry, and despite the potential of blockchain and smart contracts to solve these issues, their application in the industry is still in its nascent stages.
Outcome
- Smart contracts have the potential to significantly reduce transaction costs and improve efficiency in the commercial real estate industry. - The research developed a prototype that demonstrates real estate processes can be encoded into an ERC777 smart contract, leading to faster transaction speeds and lower fees. - Tokenization of real estate assets on the blockchain can increase investment liquidity and open the market to smaller investors. - The proposed system enhances transparency, security, and regulatory compliance by embedding features like KYC/AML checks directly into the smart contract.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I’m your host, Anna Ivy Summers. Today, we're diving into a study that could reshape one of the world's largest asset classes. It’s titled, "Blockchain Technology in Commercial Real Estate: Developing a Conceptual Design for Smart Contracts."
Host: In simple terms, this research explores how smart contracts, running on the Ethereum blockchain, could completely transform how we buy, sell, and invest in commercial properties. To help us unpack this, we have our analyst, Alex Ian Sutherland. Alex, welcome.
Expert: Thanks for having me, Anna.
Host: Let's start with the big picture. Most of us know that buying a building isn't like buying groceries, but what specific problems in commercial real estate did this study aim to solve?
Expert: The core problem is that commercial real estate transactions are incredibly complex and inefficient. The study calls them "multi-faceted, and multifarious." Think about all the people involved: brokers, lawyers, notaries, appraisers, and government registries.
Host: A lot of cooks in the kitchen.
Expert: Exactly. And that means mountains of paperwork, high fees, and very long settlement times. The whole process suffers from what the research identifies as information asymmetry—where one party always knows more than the other. This creates a lack of transparency and trust, making everything slow and expensive.
Host: So, how did the researchers approach such a massive, entrenched problem?
Expert: They used a very practical method called Action Design Science Research. Instead of just writing a theoretical study, they went through a multi-stage process. First, they diagnosed the flaws in the traditional process. Then, they designed a new conceptual model based on blockchain. Critically, they built a working prototype and validated it through interviews with twenty senior experts from the real estate and tech industries across the globe.
Host: So they actually built and tested a new system. What were the key findings from that prototype?
Expert: The results were quite striking. First and foremost, they found that smart contracts can drastically reduce transaction costs and improve efficiency.
Host: How drastically?
Expert: The study provides a powerful example. They tested a transaction valued at about 21 Euros. Using their smart contract prototype on the Ethereum network, the transaction was completed in less than 30 seconds, and the processing fee—the 'gas cost' in crypto terms—was just one cent. Compare that to the weeks and thousands in fees for a traditional deal.
Host: That's a staggering difference. The research also highlights something called 'tokenization'. Can you explain what that is and why it's a game-changer?
Expert: Of course. Tokenization is the process of converting ownership rights of an asset—in this case, a commercial building—into digital tokens on a blockchain. Think of it like creating digital shares of the property. This is a huge finding because commercial real estate is traditionally an illiquid asset. You can't just sell a corner of an office building.
Host: But with tokens, you could?
Expert: Precisely. Tokenization makes the asset divisible and easily tradable. This increases liquidity and opens the market to a much wider range of smaller investors. You no longer need millions of dollars to invest in prime real estate; you can buy a token that represents a small fraction of it.
Host: It democratizes access to investment. But with new technology comes concerns about security and regulation. How did the study address that?
Expert: That’s the third key finding. The proposed system actually enhances security and compliance. Things like Know-Your-Customer and Anti-Money-Laundering checks, which are crucial for regulatory compliance, are embedded directly into the smart contract's code.
Host: So, the rules are automatically enforced by the system itself?
Expert: Exactly. The buyer's identity is linked to their digital wallet, creating a transparent and unchangeable record of ownership. The system is designed so that only verified, compliant participants can trade the tokens. It builds trust and security directly into the transaction, removing the need for many of the traditional intermediaries whose job was to verify everything.
Host: Alex, this has been incredibly insightful. Let’s boil it down for the business leaders listening. What are the essential takeaways? Why should a CEO or an investment manager care about this research?
Expert: I see three major business takeaways. First is operational efficiency. This technology can strip away enormous costs and delays from property transactions. Second is the creation of new investment models. Tokenization unlocks a multi-trillion-dollar asset class, creating new products for investment firms and new opportunities for their clients. And third, it’s about risk reduction and trust. By automating compliance and creating an immutable audit trail, you reduce the potential for fraud and human error, making the entire market more trustworthy and secure.
Host: So it's not just a new piece of tech; it's a fundamental rethinking of how the market operates.
Expert: It really is. It moves the industry toward a more transparent, efficient, and accessible future.
Host: To summarize, this study demonstrates that by encoding real estate processes into smart contracts, the industry can become dramatically faster, cheaper, and more secure. It’s a powerful vision for a future where tokenization unlocks new investment opportunities and automated compliance builds trust directly into the system.
Host: Alex Ian Sutherland, thank you so much for breaking that down for us.
Expert: My pleasure, Anna.
Host: And thanks to our audience for tuning in to A.I.S. Insights — powered by Living Knowledge.
Communications of the Association for Information Systems (2024)
Antecedents of User Experience in the Immersive Metaverse Ecosystem: Insights from Mining User Reviews
Bibaswan Basu, Arpan K. Kar, Sagnika Sen
This study analyzes over 400,000 user reviews from 14 metaverse applications on the Google Play Store to identify the key factors that influence user experience. Using topic modeling, text analytics, and established theories like Cognitive Load Theory (CLT) and Cognitive Absorption Theory (CAT), the researchers developed and empirically validated a comprehensive framework. The goal was to understand what makes these immersive virtual environments engaging and satisfying for users.
Problem
While the metaverse is a rapidly expanding technology with significant business potential, there is a lack of large-scale, empirical research identifying the specific factors that shape a user's experience. Businesses and developers need to understand what drives user satisfaction to create more immersive and successful platforms. This study addresses this knowledge gap by moving beyond theoretical discussions to analyze actual user feedback.
Outcome
- Factors that positively influence user experience include sociability (social interactions), optimal user density, telepresence (feeling present in the virtual world), temporal dissociation (losing track of time), focused immersion, heightened enjoyment, curiosity, and playfulness. - These findings suggest that both the design of the virtual environment (CLT factors) and the user's psychological engagement (CAT factors) are crucial for a positive experience. - Contrary to the initial hypothesis, platform stability was negatively associated with user experience, possibly because too much familiarity can lead to a lack of diversity and novelty. - The study did not find a significant link between interactivity and social presence with user experience in its final models, suggesting other elements are more impactful.
Host: Welcome to A.I.S. Insights, the podcast where we connect academic research to real-world business, powered by Living Knowledge. I’m your host, Anna Ivy Summers. Host: Today, we’re diving into the metaverse. Specifically, we're looking at a fascinating new study titled "Antecedents of User Experience in the Immersive Metaverse Ecosystem: Insights from Mining User Reviews". Host: The researchers analyzed over 400,000 user reviews from 14 different metaverse apps to figure out, with hard data, what actually makes these virtual worlds engaging and satisfying for users. Host: With me to unpack this is our analyst, Alex Ian Sutherland. Alex, welcome. Expert: Great to be here, Anna. Host: So Alex, companies are pouring billions into the metaverse, but it often feels like they're guessing what users want. What's the big problem this study is trying to solve? Expert: You've hit it exactly. The metaverse market is projected to be worth over 1.5 trillion dollars by 2030, yet there's a huge knowledge gap. Most discussions about user experience are theoretical. Expert: Businesses lack large-scale, empirical data on what truly drives user satisfaction. This study addresses that by moving past theory and analyzing what hundreds of thousands of users are actually saying in their own words. It provides a data-driven roadmap. Host: So instead of guessing, they went straight to the source. How did they approach analyzing such a massive amount of feedback? Expert: It was a really clever, multi-step process. First, they collected all those reviews from the Google Play Store. Then, they used powerful text-mining algorithms. Expert: Think of it as a super-smart assistant that reads every single review and identifies the core themes people are talking about—things like social features, performance, or the feeling of immersion. Expert: They then used established psychological theories to organize these themes into a comprehensive framework and statistically tested which factors had the biggest impact on a user's star rating. Host: So it’s a very rigorous approach. After all that analysis, what were the key findings? What are the secret ingredients for a great metaverse experience? Expert: The positive ingredients were quite clear. Things like sociability—the ability to have meaningful interactions with others—was a huge driver of positive experiences. Expert: Also, factors that create a deep sense of immersion were critical. This includes telepresence, which is that feeling of truly being present in the virtual world, and what the researchers call temporal dissociation—when you're so engaged you lose track of time. Expert: And of course, heightened enjoyment, curiosity, and playfulness were key. The platform has to be fun and intriguing. Host: That makes a lot of sense. Were there any findings that were surprising or counter-intuitive? Expert: Absolutely. Two things stood out. First, platform stability was actually negatively associated with a good user experience. Host: Wait, negative? You mean users don't want a stable, bug-free platform? Expert: It's not that they want bugs. The study suggests that too much stability and familiarity can lead to boredom. Users crave novelty and diversity. A metaverse that never changes becomes stale. They want an evolving world. Expert: The second surprise was that basic interactivity and just having other avatars around, what's called social presence, weren't as significant as predicted. Host: What does that tell us? Expert: It suggests that quality trumps quantity. It’s not enough to just have buttons to press or a crowd of avatars. The experience is driven by the *quality* of the social connections and the *depth* of the immersion, not just the mere existence of these features. Host: This is incredibly valuable. So let's get to the bottom line: Why does this matter for business? What are the key takeaways for anyone building a metaverse experience? Expert: This is the most important part. I see three major takeaways. First, community is king. Businesses must design features that foster high-quality social bonds, not just fill a virtual room with people. Think collaborative projects, shared goals, and tools for genuine communication. Expert: Second, you have to balance stability with novelty. A business needs a content roadmap to constantly introduce new events, items, and experiences. A static world is a dead world in the metaverse. Your platform must feel alive and dynamic. Expert: And third, design for 'flow'. Focus on creating that state where users become completely absorbed. This means intuitive interfaces that reduce mental effort, compelling activities that spark curiosity, and a world that’s simply a joy to be in. Host: Fantastic. So to summarize for our listeners: Focus on building a real community, keep the experience fresh and dynamic to avoid stagnation, and design for that deeply immersive 'flow' state. Host: Alex, this has been incredibly insightful. Thank you for breaking down this complex study into such clear, actionable advice. Expert: My pleasure, Anna. Host: That’s all the time we have for today on A.I.S. Insights, powered by Living Knowledge. Join us next time as we continue to decode the research that's shaping our business and technology landscape. Thanks for listening.
Metaverse, User Experience, Immersive Technology, Virtual Ecosystem, Cognitive Absorption Theory, Big Data Analytics, User Reviews
Communications of the Association for Information Systems (2025)
Beyond Technology: A Multi-Theoretical Examination of Immersive Technology Adoption in Indian Healthcare
This study examines the key factors driving the adoption of immersive technologies (like VR/AR) in the Indian healthcare sector. Using the Technology-Organization-Environment (TOE) and Diffusion of Innovation (DOI) theoretical frameworks, the research employs the grey-DEMATEL method to analyze input from healthcare experts and rank the facilitators of adoption.
Problem
Healthcare systems in emerging economies like India face significant challenges, including resource constraints and infrastructure limitations, when trying to adopt advanced immersive technologies. This study addresses the research gap by moving beyond purely technological aspects to understand the complex interplay of organizational and environmental factors that influence the successful implementation of these transformative tools in a real-world healthcare context.
Outcome
- Organizational and environmental factors are significantly more influential than technological factors in driving the adoption of immersive healthcare technologies. - The most critical facilitator for adoption is 'Adaptability to change' within the healthcare organization, followed by 'Regulatory support' and 'Leadership support'. - External factors, such as government support and partnerships, play a crucial role in shaping an organization's internal readiness for new technology. - Technological aspects like user-friendliness and data security, while important, ranked lower in prominence, suggesting they are insufficient drivers of adoption without strong organizational and environmental backing.
Host: Welcome to A.I.S. Insights, the podcast where we connect Living Knowledge to your business. I'm your host, Anna Ivy Summers. Host: Today, we're diving into a fascinating study titled "Beyond Technology: A Multi-Theoretical Examination of Immersive Technology Adoption in Indian Healthcare." Host: In simple terms, it explores what really drives the adoption of advanced technologies like virtual and augmented reality in the complex world of healthcare, specifically within an emerging economy. With me to break it all down is our analyst, Alex Ian Sutherland. Welcome, Alex. Expert: Great to be here, Anna. Host: Alex, let's start with the big picture. We hear about VR and AR in gaming and retail, but why is it so important to study its adoption in a context like Indian healthcare? What's the problem being solved? Expert: It's a critical issue. Healthcare systems in emerging economies face huge challenges. Think about resource constraints, infrastructure gaps, and the difficulty of getting specialized medical care to a massive rural population. In India, for example, about 65% of its 1.4 billion people live in rural areas. Expert: Immersive tech offers incredible solutions—like virtual surgical training for doctors in remote locations or advanced remote consultations. But adopting this tech isn't as simple as just buying the hardware. The study wanted to understand the real barriers and, more importantly, the real drivers for making it work. Host: So it's not just about the technology itself. How did the researchers figure out what those real drivers were? Expert: They took a really interesting approach. They identified 14 potential factors for adoption, spanning technology, organizational readiness, and the external environment. Then, they brought in a diverse panel of healthcare experts from India. Expert: Using a sophisticated analytical method, they had these experts rank the factors and map out the cause-and-effect relationships between them. It’s a way of creating a blueprint of what truly influences the decision to adopt, moving beyond just assumptions. Host: A blueprint of what really matters. I like that. So, what were the key findings? Were there any surprises? Expert: The biggest finding, and it’s right there in the title, is that successful adoption goes far 'beyond technology'. The study found that organizational and environmental factors are significantly more influential than the technological aspects. Host: That is surprising. We're so often focused on features and specs. What specific factors came out on top? Expert: The single most critical factor was 'Adaptability to change' within the healthcare organization itself. This is about the culture—the willingness and flexibility to embrace new workflows. Following that were 'Regulatory support' from government bodies and strong 'Leadership support' from within the organization. Host: So, a flexible culture, supportive government, and engaged leaders are the top three. What about things like user-friendliness or data security? Expert: That's the other surprising part. While important, factors like user-friendliness and data security ranked much lower in prominence. The study suggests that these are necessary, but they are not sufficient. You can have the most secure, easy-to-use headset in the world, but if the organization isn't ready for change and the regulatory environment isn't supportive, adoption will fail. Host: This is a powerful insight. Let's get to the bottom line, Alex. What does this mean for business leaders listening right now, whether they're in healthcare or another industry entirely? Expert: It’s a universal lesson for any major technology implementation. The first key takeaway is to prioritize culture over code. Before you invest millions in new tech, invest in building an agile and adaptable organizational culture. Expert: Second, look outside your own walls. You can't innovate in a vacuum. Proactively engage with regulators and seek out strategic collaborations and partnerships. The study showed that these external forces are incredibly powerful in shaping an organization’s internal readiness. Host: So it’s about managing the internal culture and the external ecosystem. Expert: Exactly. And the third takeaway ties it all together: leadership and training are non-negotiable. Leaders must visibly champion the change, and teams must be given thorough training that goes beyond technical skills to foster a mindset of innovation and flexibility. The tech is just the tool; the people make it work. Host: This has been incredibly insightful, Alex. To sum it up for our listeners: when adopting transformative technology, the secret to success isn't just in the tech itself. Host: The real drivers are an adaptable organizational culture, a supportive external environment shaped by regulation and partnerships, and the unwavering commitment of leadership to guide their people through the change. Host: Alex Ian Sutherland, thank you so much for sharing your expertise with us. Expert: My pleasure, Anna. Host: And thank you for tuning in to A.I.S. Insights — powered by Living Knowledge. Join us next time as we uncover more actionable intelligence to drive your business forward.
Communications of the Association for Information Systems (2024)
Augmented Reality Immersive Experience: A Study on The Effects of Individuals' Big Five Personality Traits
Arman Ghafoori, Mohammad I. Merhi, Arjun Kadian, Manjul Gupta, Yifeng Ruan
This study investigates how an individual's personality, based on the Big Five model, impacts their immersive experience with augmented reality (AR). The researchers conducted a survey with 331 participants and used statistical modeling (SEM) to analyze the relationship between different personality traits and various dimensions of the AR experience.
Problem
Augmented reality technologies are becoming increasingly common, especially on social media platforms, creating highly personalized user experiences. However, there is a gap in understanding how fundamental individual differences, such as stable personality traits, affect how users perceive and engage with these immersive AR environments.
Outcome
- Agreeableness and Openness positively influence all four dimensions of the AR immersive experience (education, entertainment, escapism, and aesthetics). - Conscientiousness has a negative impact on the education and escapism dimensions of the AR experience. - Extraversion and Neuroticism were not found to have a significant impact on the AR immersive experience.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. In a world saturated with technology, we often wonder why some digital experiences delight us while others fall flat. Today, we're diving into a fascinating new study that connects our innermost personality to how we interact with technology.
Host: The study is titled "Augmented Reality Immersive Experience: A Study on The Effects of Individuals' Big Five Personality Traits". It investigates how our core personality traits impact our experience with augmented reality, or AR. Here to help us unpack it is our analyst, Alex Ian Sutherland. Alex, welcome.
Expert: Thanks for having me, Anna.
Host: So, let's start with the big picture. AR technology, like the filters we use on Instagram or apps that let us see furniture in our living room, is becoming a massive industry. But it feels like a one-size-fits-all approach. What’s the real problem this study is trying to solve?
Expert: Exactly. Companies are investing billions in AR to create these highly personalized experiences. But as the study highlights, there's a huge gap in understanding how our fundamental, stable personality traits affect how we engage with them. We know AR is personal, but we don't know *why* it clicks for one person and not another. It’s about moving from generic personalization to truly psychological personalization.
Host: That makes sense. It’s the difference between an app knowing your name and knowing your nature. How did the researchers go about connecting personality to the AR experience?
Expert: They took a really structured approach. They surveyed 331 people, first assessing their personality using the well-established "Big Five" model. That’s Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism.
Expert: Then, they had these participants rate their AR experience across four key dimensions: education, or how much they learned; entertainment, how fun it was; aesthetics, its visual appeal; and escapism, the feeling of being transported to another world. Finally, they used statistical models to connect the dots between the personality traits and these four experiences.
Host: Alright, let's get to the results. What did they find? Which personality traits were the big drivers for a positive AR experience?
Expert: The clearest finding was for two traits: Agreeableness and Openness. People who are agreeable—meaning they're generally cooperative and trusting—and people who are open to new experiences consistently had a more positive reaction across all four dimensions. They found AR more educational, more entertaining, more visually beautiful, and a better form of escape.
Host: So, open-minded and agreeable people are essentially the ideal audience for AR right now. Were there any surprising findings for the other traits?
Expert: Yes, and this is where it gets really interesting for businesses. Conscientiousness—the trait associated with being organized, diligent, and responsible—actually had a negative impact on the education and escapism dimensions.
Host: Negative? Why would that be?
Expert: Well, the study suggests that highly conscientious individuals are very goal-oriented. They might view AR filters as unproductive or a frivolous distraction from their duties. So, the idea of "escaping" reality doesn't appeal to them, and they may not see playing with a filter as a valuable educational tool. It's simply not an efficient use of their time.
Host: That’s a crucial insight. So for that user, it’s not about fun, it’s about function. What about extraversion and neuroticism?
Expert: Surprisingly, the study found that neither of these traits had a significant impact on the AR experience. You might expect extroverts to love the social nature of AR, but the findings suggest that the technology, in its current form, might not be engaging enough to really capture their attention.
Host: This brings us to the most important question, Alex. Why does this matter for business? What are the practical takeaways for marketers, brand managers, and developers?
Expert: This is the billion-dollar question, and the study offers clear direction. The biggest takeaway is the opportunity for personality-driven marketing. Instead of just basic personalization, brands can now tailor AR experiences to specific psychological profiles.
Host: Can you give me an example?
Expert: Certainly. A social media platform could, as the study suggests, use machine learning to infer a user's personality from their public posts. For a user who appears high in Openness, it could recommend artistic, adventurous, or fantastical AR filters. For a brand, this means a travel company could create an immersive 'escapism' filter and target it specifically at users high in Openness and Agreeableness, knowing it will resonate deeply.
Host: And what about those conscientious users you mentioned, the ones who see AR as a distraction?
Expert: For them, the strategy has to be completely different. You don't market AR as a fun escape. Instead, you frame it as a productivity tool. Think of an AR app from a home improvement store that helps a conscientious user meticulously plan a room layout. It's not an escape from their goals; it’s a tool to help them achieve their goals more effectively. The key is to match the AR experience to the user’s inherent motivations.
Host: This has been incredibly insightful, Alex. So, to recap, our core personality traits are a powerful predictor of how we'll respond to augmented reality.
Host: People high in Agreeableness and Openness are the dream users for immersive, creative AR. But for the highly Conscientious, AR needs to be positioned as a practical, functional tool, not just a toy.
Host: The big takeaway for business is that the future of successful AR isn't just about fancier technology, but about deeper, personality-driven personalization.
Host: Alex Ian Sutherland, thank you for making this complex topic so clear.
Expert: My pleasure, Anna.
Host: And thank you to our listeners for tuning into A.I.S. Insights, powered by Living Knowledge. Join us next time as we continue to explore the intersection of business and technology.
Augmented Reality, Immersion, Immersive Technology, Personality Traits, AR Filters
Communications of the Association for Information Systems (2025)
Procuring Accessible Third-Party Web-Based Software Applications for Inclusivity: A Socio-technical Approach
Niamh Daly, Ciara Heavin, James Northridge
This study investigates how universities can improve their decision-making processes when procuring third-party web-based software to enhance accessibility for students and staff. Using a socio-technical systems framework, the research conducts a case study at a single university, employing qualitative interviews with procurement experts and users to evaluate current practices.
Problem
The procurement process for web-based software in higher education often fails to adequately consider web accessibility standards. This oversight creates barriers for an increasingly diverse student population, including those with disabilities, and represents a failure to integrate equality, diversity, and inclusion into critical technology-related decisions.
Outcome
- Procurement processes often lack standardized, early-stage accessibility testing, with some evaluations occurring after the software has already been acquired. - A significant misalignment exists between the accessibility testing practices of software vendors and the actual needs of the higher education institution. - Individuals with disabilities are not typically involved in the initial evaluation phase, though their feedback might be sought after implementation, leading to reactive rather than proactive solutions. - Accessible software directly improves student engagement and fosters a more inclusive campus environment, benefiting the entire university community. - The research proposes using the SEIPS 2.0 model as a structured framework to map the procurement work system, improve accessibility evaluation, and better integrate diverse expertise into the decision-making process.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge, the podcast where we break down cutting-edge research for today’s business leaders. I’m your host, Anna Ivy Summers.
Host: Today, we’re diving into a fascinating study from the Communications of the Association for Information Systems titled, "Procuring Accessible Third-Party Web-Based Software Applications for Inclusivity: A Socio-technical Approach".
Host: It investigates how large organizations, specifically universities in this case, can make better decisions when buying software to ensure it’s accessible and inclusive for everyone. Here to unpack it all is our analyst, Alex Ian Sutherland. Alex, welcome.
Expert: Thanks for having me, Anna.
Host: So, let's start with the big picture. When a company or a university buys new software, they're looking at cost, features, and security. Why is accessibility often an afterthought, and what problem does that create?
Expert: That’s the core of the issue. The study found that the typical procurement process often fails to properly consider web accessibility standards. This creates significant barriers for a growing number of people, including those with disabilities. It’s a failure to integrate equality and inclusion into critical technology decisions.
Host: It sounds like a classic case of not thinking about all the end-users from the start.
Expert: Exactly. The researchers found that crucial accessibility evaluations often happen *after* the software has already been bought and paid for. One professional in the study put it perfectly, saying their team often has "no say in that until the software actually arrives." At that point, fixing the problems is far more costly and complex than getting it right from the beginning.
Host: So how did the researchers get inside this complex process to understand what’s going wrong?
Expert: They took a really interesting approach called a socio-technical systems framework. In simple terms, they didn't just look at the technology itself. They mapped out the entire system: the people involved, the tasks they perform, the organizational rules, and the tools they use.
Host: And they did this within a real-world setting?
Expert: Yes, they conducted a case study at a large university. They interviewed ten key people, from the IT and procurement experts who buy the software, to the students and staff with disabilities who actually use it every day. This gave them a 360-degree view of where the process was breaking down.
Host: A 360-degree view often reveals some surprising things. What were the key findings?
Expert: There were a few that really stood out. First, as we mentioned, accessibility testing happens far too late, if at all. It's not a standardized, early-stage checkpoint.
Host: So it's reactive, not proactive.
Expert: Precisely. The second key finding was a major misalignment between what software vendors say about accessibility and what the organization actually needs. There's a lack of rigorous, standardized testing.
Host: And what about the users themselves? Were they part of the process?
Expert: That was the third major finding. Individuals with disabilities—the real expert users—are almost never involved in the initial evaluation. Their feedback might be sought after the tool is already implemented, but by then it’s about patching problems, not choosing the right solution from the start.
Host: That seems like a huge missed opportunity. But the study also found a silver lining, right? When the software *is* accessible, what’s the impact?
Expert: The impact is huge. Accessible software directly improves engagement and creates a more inclusive environment. One user in the study said, "I now want to actively participate in class. I'm not sitting there panicked... I now realize that I know what I'm doing, and I can participate easier." That’s a powerful testament to getting it right.
Host: It absolutely is. Alex, this study was based in a university, but our listeners are in the corporate world. Why does this matter for a CEO, a CTO, or a product manager?
Expert: This is the most crucial part. The lessons are universal. First, businesses need to reframe accessibility not as a legal compliance checkbox, but as a core design value and a strategic advantage. It expands your potential customer base and strengthens your brand.
Host: So it’s a market opportunity, not just a requirement.
Expert: Exactly. Second, proactive procurement is a powerful risk management tool. The study highlights the high cost of retrofitting. By building accessibility into your purchasing process from day one, you avoid expensive re-engineering projects down the line. It’s simply smart business.
Host: That makes perfect sense. What else can businesses take away?
Expert: The idea that inclusive design is simply good design. One of the professionals interviewed noted that when you make content more accessible for an inclusive community, you "enhance the quality of the content for all of the community." A clear, simple interface designed for accessibility benefits every single user.
Host: So, to wrap this up, what is the single most important action a business leader can take away from this research?
Expert: It's about changing the process. Don't just ask vendors if their product is accessible; demand proof. More importantly, bring your actual users—including those with disabilities—into the evaluation process early. Their insight is invaluable and will save you from making costly mistakes.
Host: In short: prioritize accessibility from the start, involve your users, and recognize it not just as a compliance issue, but as a strategic driver for better products and a more inclusive culture.
Host: Alex, this has been incredibly insightful. Thank you for breaking it down for us.
Expert: My pleasure, Anna.
Host: And thank you to our audience for tuning in to A.I.S. Insights — powered by Living Knowledge. Join us next time as we translate another key piece of research into actionable business intelligence.
Communications of the Association for Information Systems (2025)
Exploring the Role of Third Parties in Digital Transformation Initiatives: A Problematized Assumptions Perspective
Jack O'Neill, David Pidoyma, Ciara Northridge, Shivani Pai, Stephen Treacy, and Andrew Brosnan
This study investigates the role and influence of external partners in corporate digital transformation projects. Using a 'problematized assumptions' approach, the research challenges the common view that transformation is a purely internal affair by analyzing existing literature and conducting 26 semi-structured interviews with both client organizations and third-party service providers.
Problem
Much of the existing research on digital transformation describes it as an initiative orchestrated primarily within an organization, which overlooks the significant and growing market for third-party consultants and services. This gap in understanding leads to problematic assumptions about how transformations are managed, creating risks and missed opportunities for businesses that increasingly rely on external expertise.
Outcome
- A fully outsourced digital transformation is infeasible, as core functions like culture and change management must be led internally. - Third parties play a critical role, far greater than literature suggests, by providing specialized expertise for strategy development and technical execution. - The most effective approach is a bimodal model, where the organization owns the high-level vision and mission, while collaborating with third parties on strategy and tactics. - Digital transformation should be viewed as a continuous process of socio-technical change and evolution, not a project with a defined endpoint. - Success is more practically measured by optimizing operational components (Vision, Mission, Objectives, Strategy, Tactics - VMOST) rather than solely focusing on a reconceptualization of value.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I'm your host, Anna Ivy Summers. Host: Today, we're diving into a fascinating study titled "Exploring the Role of Third Parties in Digital Transformation Initiatives: A Problematized Assumptions Perspective". Host: In short, it investigates the critical role external partners play in a company's digital transformation, challenging the common belief that it's a journey a company must take alone. Host: To help us unpack this is our expert analyst, Alex Ian Sutherland. Alex, welcome to the show. Expert: Great to be here, Anna. Host: So Alex, digital transformation is a huge topic, but we often think of it as an internal project. Why is it so important to focus on the role of external partners, or third parties? Expert: It’s critical because there’s a major disconnect between academic theory and business reality. Most research talks about transformation as if it’s orchestrated entirely inside a company's walls. Expert: But in the real world, the market for third-party consultants and digital service providers is enormous and growing. Businesses are relying on them more and more. Expert: This study highlights that by ignoring the role of these partners, we're operating on flawed assumptions. This creates a knowledge gap that can lead to significant risks, project failures, and missed opportunities. Host: So how did the researchers go about closing that gap? What was their approach? Expert: They used a really smart two-pronged approach. First, they reviewed over 200 existing studies to identify common, but often unproven, beliefs about digital transformation. Expert: Then, and this is the key part, they conducted 26 in-depth interviews with senior leaders from both sides of the fence—the companies undergoing transformation and the third-party firms providing the services. Host: That gives a really balanced perspective. So, what did they find? Let’s start with a big question: can a company just hire a firm to handle its entire digital transformation? Expert: The study's answer is a clear no. A fully outsourced transformation just isn't feasible. Interviewees consistently said that core internal functions, especially company culture and change management, have to be led from within. Expert: As one CIO put it, real change management is subtle and requires buy-in from internal leadership. You can't just outsource the human element. Host: That makes sense. But these third parties still play a vital role, correct? Expert: A massive one, and far greater than most literature suggests. They bring in crucial, specialized expertise for both developing the strategy and for the technical execution. Expert: They have experience from similar projects in other organizations, so they know the potential pitfalls and can provide a clear roadmap, which an internal team might struggle to create from scratch. Host: So if it’s not fully internal and not fully external, what’s the ideal model? Expert: The study points to what it calls a bimodal model. Think of it as a strategic partnership with a clear division of labor. Expert: The organization itself absolutely must own the high-level vision and mission. That's the 'why'. But it should collaborate closely with its external partners on the strategy and the day-to-day tactics—the 'how'. Host: A partnership model. I like that. Now, what about the finish line? Is transformation a project that eventually ends? Expert: That's another common myth the study busts. It shouldn't be viewed as a project with a defined endpoint. Instead, it’s a continuous process of socio-technical evolution. Expert: The market is always changing, and technology is always evolving, so the business must continuously adapt as well. The transformation becomes part of the company's DNA. Host: This is all incredibly insightful. Let's get to the most important part for our listeners. Alex, what are the key business takeaways? If I'm a leader, what do I need to do? Expert: There are three main takeaways. First, don't abdicate responsibility. You cannot outsource leadership. As a business leader, you must own the vision, drive the cultural shift, and champion the change. Your partner is there to enable you, not replace you. Expert: Second, be very deliberate about the partnership model. Clearly define who owns what. The study suggests a framework called VMOST—Vision, Mission, Objectives, Strategy, and Tactics. Your company owns the Vision and Mission. You collaborate on Objectives, and you can leverage your partner's expertise heavily for Strategy and Tactics. Expert: And third, treat it as a true partnership, not a simple transaction. Success relies on joint governance, shared goals, and constant communication. You're building something new together, and that requires deep alignment every step of the way. Host: That’s a fantastic summary, Alex. So to recap: digital transformation is a team sport. Leaders must own the vision and culture, collaborate with external experts in a bimodal partnership, and remember that it’s an ongoing journey, not a final destination. Host: Alex Ian Sutherland, thank you so much for breaking this down for us. Expert: My pleasure, Anna. Host: And thank you to our audience for tuning into A.I.S. Insights — powered by Living Knowledge. We’ll see you next time.
Digital Transformation, Third Parties, Managed Services, Problematization, Outsourcing, IT Strategy, Socio-technical Change
Communications of the Association for Information Systems (2025)
Unveiling Enablers to the Use of Generative AI Artefacts in Rural Educational Settings: A Socio-Technical Perspective
Pramod K. Patnaik, Kunal Rao, Gaurav Dixit
This study investigates the factors that enable the use of Generative AI (GenAI) tools in rural educational settings within developing countries. Using a mixed-method approach that combines in-depth interviews and the Grey DEMATEL decision-making method, the research identifies and analyzes these enablers through a socio-technical lens to understand their causal relationships.
Problem
Marginalized rural communities in developing countries face significant challenges in education, including a persistent digital divide that limits access to modern learning tools. This research addresses the gap in understanding how Generative AI can be practically leveraged to overcome these education-related challenges and improve learning quality in under-resourced regions.
Outcome
- The study identified fifteen key enablers for using Generative AI in rural education, grouped into social and technical categories. - 'Policy initiatives at the government level' was found to be the most critical enabler, directly influencing other key factors like GenAI training for teachers and students, community awareness, and school leadership commitment. - Six novel enablers were uncovered through interviews, including affordable internet data, affordable telecommunication networks, and the provision of subsidized devices for lower-income groups. - An empirical framework was developed to illustrate the causal relationships among the enablers, helping stakeholders prioritize interventions for effective GenAI adoption.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I’m your host, Anna Ivy Summers. Today, we're looking at how Generative AI can transform education, not in Silicon Valley, but in some of the most under-resourced corners of the world.
Host: We're diving into a fascinating new study titled "Unveiling Enablers to the Use of Generative AI Artefacts in Rural Educational Settings: A Socio-Technical Perspective". It investigates the key factors that can help bring powerful AI tools to classrooms in developing countries. With me today is our expert analyst, Alex Ian Sutherland. Alex, welcome.
Expert: Thanks for having me, Anna. It's a critical topic.
Host: Let's start with the big picture. What is the real-world problem this study is trying to solve?
Expert: The core problem is the digital divide. In many marginalized rural communities, especially in developing nations, students and teachers face huge educational challenges. We're talking about a lack of resources, infrastructure, and access to modern learning tools. While we see Generative AI changing industries in developed countries, there's a real risk these rural communities get left even further behind.
Host: So the question is, can GenAI be a bridge across that divide, instead of making it wider?
Expert: Exactly. The study specifically looks at how we can practically leverage these AI tools to overcome those long-standing challenges and actually improve the quality of education where it's needed most.
Host: So how did the researchers approach such a complex issue? It must be hard to study on the ground.
Expert: It is, and they used a really smart mixed-method approach. First, they went directly to the source, conducting in-depth interviews with teachers, government officials, and community members in rural India. This gave them rich, qualitative data—the real stories and challenges. Then, they took all the factors they identified and used a quantitative analysis to find the causal relationships between them.
Host: So it’s not just a list of problems, but a map of how one factor influences another?
Expert: Precisely. It allows them to say, 'If you want to achieve X, you first need to solve for Y'. It creates a clear roadmap for intervention.
Host: That sounds powerful. What were the key findings? What are the biggest levers we can pull?
Expert: The study identified fifteen key 'enablers', which are the critical ingredients for success. But the single most important finding, the one that drives almost everything else, is 'Policy initiatives at the government level'.
Host: That's surprising. I would have guessed something more technical, like internet access.
Expert: And that's crucial, but the study shows that strong government policy is the 'cause' factor. It directly enables other key things like funding, GenAI training for teachers and students, creating community awareness, and getting school leadership on board. Without that top-down strategic support, everything else struggles.
Host: What other enablers stood out?
Expert: The interviews uncovered some really practical, foundational needs that go beyond just theory. Things we might take for granted, like affordable internet data plans, reliable telecommunication networks, and providing subsidized devices like laptops or tablets for lower-income families. It highlights that access isn't just about availability; it’s about affordability.
Host: This is the most important question for our listeners, Alex. This research is clearly vital for educators and policymakers, but why should business professionals pay attention? What are the takeaways for them?
Expert: I see three major opportunities here. First, this study is essentially a market-entry roadmap for a massive, untapped audience. For EdTech companies, telecoms, and hardware manufacturers, it lays out exactly what is needed to succeed in these emerging markets. It points directly to opportunities for public-private partnerships to provide those subsidized devices and affordable data plans we just talked about.
Host: So it’s a blueprint for doing business in these regions.
Expert: Absolutely. Second, it's a guide for product development. The study found that 'ease of use' and 'localized language support' are critical enablers. This tells tech companies that you can't just parachute in a complex, English-only product. Your user interface needs to be simple, intuitive, and available in local languages to gain any traction. That’s a direct mandate for product and design teams.
Host: That makes perfect sense. What’s the third opportunity?
Expert: It redefines effective Corporate Social Responsibility, or CSR. Instead of just one-off donations, a company can use this framework to make strategic investments. They could fund teacher training programs or develop technical support hubs in rural areas. This creates sustainable, long-term impact, builds immense brand loyalty, and helps develop the very ecosystem their business will depend on in the future.
Host: So to sum it up: Generative AI holds incredible promise for bridging the educational divide in rural communities, but technology alone isn't the answer.
Expert: That's right. Success hinges on a foundation of supportive government policy, which then enables crucial factors like training, awareness, and true affordability.
Host: And for businesses, this isn't just a social issue—it’s a clear roadmap for market opportunity, product design, and creating strategic, high-impact investments. Alex, thank you so much for breaking this down for us.
Expert: My pleasure, Anna.
Host: And thank you for tuning in to A.I.S. Insights — powered by Living Knowledge. Join us next time as we continue to explore the intersection of business, technology, and groundbreaking research.
Generative AI, Rural, Education, Digital Divide, Interviews, Socio-technical Theory
HMD Praxis der Wirtschaftsinformatik (2023)
Mehr als Vollzeit: Fractional CIOs in KMUs
Simon Kratzer, Markus Westner, Susanne Strahringer
This study investigates the emerging role of 'Fractional CIOs,' who provide part-time IT leadership to small and medium-sized enterprises (SMEs). It synthesizes findings from a research project involving 62 Fractional CIOs across 10 countries and contextualizes them for the German market through interviews with three local Fractional CIOs/CTOs. The research aims to define the role, identify different types of engagements, and uncover key success factors.
Problem
Small and medium-sized enterprises (SMEs) increasingly require sophisticated IT management to remain competitive, yet often lack the resources or need to hire a full-time Chief Information Officer (CIO). This gap leaves them vulnerable, as IT responsibilities are often handled by non-experts, leading to potential productivity losses and security risks. The study addresses this challenge by exploring a flexible and cost-effective solution.
Outcome
- The study defines the 'Fractional CIO' role as a flexible, part-time IT leadership solution for SMEs, combining the benefits of an internal executive with the flexibility of an external consultant. - Four distinct engagement types are identified for Fractional CIOs: Strategic IT Management, Restructuring, Rapid Scaling, and Hands-on Support, each tailored to different business needs. - The most critical success factors for a successful engagement are trust between the company and the Fractional CIO, strong support from the top management team, and the CIO's personal integrity. - While the Fractional CIO model is not yet widespread in Germany, the study concludes it offers significant potential value for German SMEs seeking expert IT leadership without the cost of a full-time hire. - Three profiles of Fractional CIOs were identified based on their engagement styles: Strategic IT-Coaches, Full-Ownership-CIOs, and Change Agents.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I’m your host, Anna Ivy Summers. Host: Today, we're looking at a fascinating new leadership model for the modern economy. We're diving into a study titled "Mehr als Vollzeit: Fractional CIOs in KMUs," which translates to "More than Full-time: Fractional CIOs in SMEs." Host: It investigates the emerging role of 'Fractional CIOs' – experts who provide part-time IT leadership to small and medium-sized businesses. Here to break it down for us is our analyst, Alex Ian Sutherland. Alex, welcome. Expert: Great to be here, Anna. Host: So, let's start with the big picture. Why is this role of a 'Fractional CIO' even necessary? What problem does it solve for businesses? Expert: It solves a critical and growing problem for small and medium-sized enterprises, or SMEs. These companies need sophisticated, strategic IT management to compete today. But they often don't have the budget, or frankly, the full-time need, for a six-figure Chief Information Officer. Host: So what happens instead? Expert: Usually, IT responsibility gets handed to someone who isn't an expert, like the CFO or Head of Operations. The study refers to these as 'involuntary IT managers'. They do their best, but they're often overworked, and this can lead to major productivity losses and, even worse, serious security risks. It's a dangerous gap in leadership. Host: A gap that these Fractional CIOs are meant to fill. How did the researchers in this study go about understanding this new role? Expert: They took a comprehensive, multi-stage approach. First, they conducted in-depth interviews with 62 Fractional CIOs across 10 different countries to get a global perspective. Then, to make it relevant for a specific market, they interviewed three experienced Fractional CIOs in Germany to see how the model applies there. Host: So they gathered a lot of real-world experience. What were the key findings? What exactly is a Fractional CIO? Expert: The study defines the role as a hybrid. A Fractional CIO combines the benefits of a deeply integrated internal executive with the flexibility and broad experience of an external consultant. They're not just advisors; they often take on real responsibility, but on a part-time basis, maybe for one to three days a week. Host: And I assume they don't just do one thing. Are there different ways they can help a business? Expert: Exactly. The study identified four distinct types of engagement, each tailored to a specific business need. Host: Can you walk us through them quickly? Expert: Of course. First is 'Strategic IT Management' for companies whose tech isn't aligned with their business goals. Second is 'Restructuring' for when an IT department is in crisis and needs a turnaround. Third is 'Rapid Scaling,' which is perfect for startups that need to build their IT infrastructure from the ground up. And finally, there's 'Hands-on Support' for businesses that have no internal IT and need someone to manage their external tech suppliers. Host: That’s a very clear breakdown. So, if a business hires one, what makes the relationship successful? Expert: The study was incredibly clear on this. The number one success factor, by far, is trust between the company’s leadership and the Fractional CIO. That trust is built on two other key factors: strong support from the top management team and the personal integrity of the Fractional CIO themselves. Host: Alex, this is the most important part for our listeners. If I'm leading a small or medium-sized business, why does this study matter to me? What are the practical takeaways? Expert: The biggest takeaway is that you no longer have to choose between having no IT leadership and hiring an expensive full-time executive. There is a flexible, expert alternative. This study gives you a language and a framework to find the right kind of help. Host: How so? Expert: You can now identify your specific need. Are you trying to fix a broken department? You need a 'Restructuring' specialist. Are you a high-growth startup? You need a 'Rapid Scaling' expert. The study also identified three profiles of these CIOs: 'Strategic IT-Coaches', 'Full-Ownership-CIOs', and 'Change Agents'. This helps you think about the type of person you need – a guide, a hands-on owner, or a transformation leader. Host: So it provides a roadmap for finding the right expert for your specific situation. Expert: Precisely. It turns a vague problem—"we need help with IT"—into a targeted search for a specific type of fractional executive who can deliver strategic value from day one, at a fraction of the cost. Host: Fantastic. Let's summarize. Small and medium-sized businesses face a critical IT leadership gap. The role of the Fractional CIO fills this gap by providing expert, part-time leadership. Host: We learned there are four key engagement types, from strategic planning to crisis restructuring, and that success hinges on trust, management support, and integrity. For business leaders, this offers a new, flexible model to secure top-tier IT talent. Host: Alex, thank you for making that so clear and actionable. Expert: My pleasure, Anna. Host: And thank you for listening to A.I.S. Insights — powered by Living Knowledge. Join us next time for more.
Fractional CIO, Fractional CTO, Part-Time Interim Management, SMEs, IT Management, Chief Information Officer
Journal of the Association for Information Systems (2026)
Affordance-Based Pathway Model of Social Inclusion: A Case Study of Virtual Worlds and People With Lifelong Disability
Karen Stendal, Maung K. Sein, Devinder Thapa
This study explores how individuals with lifelong disabilities (PWLD) use virtual worlds, specifically Second Life, to achieve social inclusion. Using a qualitative approach with in-depth interviews and participant observation, the researchers analyzed how PWLD experience the platform's features. The goal was to develop a model explaining the process through which technology facilitates greater community participation and interpersonal connection for this marginalized group.
Problem
People with lifelong disabilities often face significant social isolation and exclusion due to physical, mental, or sensory impairments that hinder their full participation in society. This lack of social connection can negatively impact their psychological and emotional well-being. This research addresses the gap in understanding the specific mechanisms by which technology, like virtual worlds, can help this population move from isolation to inclusion.
Outcome
- Virtual worlds offer five key 'affordances' (action possibilities) that empower people with lifelong disabilities (PWLD). - Three 'functional' affordances were identified: Communicability (interacting without barriers like hearing loss), Mobility (moving freely without physical limitations), and Personalizability (controlling one's digital appearance and whether to disclose a disability). - These functional capabilities enable two 'social' affordances: Engageability (the ability to join in social activities) and Self-Actualizability (the ability to realize one's potential and help others). - The study proposes an 'Affordance-Based Pathway Model' which shows how using these features helps PWLD build interpersonal relationships and participate in communities, leading to social inclusion.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I’m your host, Anna Ivy Summers, and with me today is our expert analyst, Alex Ian Sutherland. Host: Alex, today we're diving into a fascinating study from the Journal of the Association for Information Systems titled, "Affordance-Based Pathway Model of Social Inclusion: A Case Study of Virtual Worlds and People With Lifelong Disability". Host: In short, it explores how people with lifelong disabilities use virtual worlds, like the platform Second Life, to achieve social inclusion and build community. Host: So, Alex, before we get into the virtual world, let's talk about the real world. What is the core problem this study is trying to address? Expert: Anna, it addresses a significant challenge. People with lifelong disabilities often face profound social isolation. Physical, mental, or sensory barriers can prevent them from fully participating in society, which in turn impacts their psychological and emotional well-being. Expert: While we know technology can help, there’s been a gap in understanding the specific mechanisms—the 'how'—technology can create a pathway from isolation to inclusion for this group. Host: It sounds like a complex challenge to study. So how did the researchers approach this? Expert: They took a very human-centered approach. They went directly into the virtual world of Second Life and conducted in-depth interviews and participant observations with 18 people with lifelong disabilities. This allowed them to understand the lived experiences of both new and experienced users. Host: And what did they find? What is it about these virtual worlds that makes such a difference? Expert: They discovered that the platform offers five key 'affordances'—which is simply a term for the action possibilities or opportunities that the technology makes possible for these users. They grouped them into two categories: functional and social. Host: Okay, five key opportunities. Can you break down the first category, the functional ones, for us? Expert: Absolutely. The first three are foundational. There’s 'Communicability'—the ability to interact without barriers. One participant with hearing loss noted that text chat made it easier to interact because they didn't need sign language. Expert: Second is 'Mobility'. This is about moving freely without physical limitations. A participant who uses a wheelchair in real life shared this powerful thought: "In real life I can't dance; here I can dance with the stars." Expert: The third is 'Personalizability'. This is the user's ability to control their digital appearance through an avatar, and importantly, to choose whether or not to disclose their disability. It puts them in control of their identity. Host: So those three—Communicability, Mobility, and Personalizability—are the functional building blocks. How do they lead to actual social connection? Expert: They directly enable the two 'social' affordances. The first is 'Engageability'—the ability to actually join in social activities and be part of a group. Expert: This then leads to the final and perhaps most profound affordance: 'Self-Actualizability'. This is the ability to realize one's potential and contribute to the well-being of others. For example, a retired teacher in the study found new purpose in helping new users get started on the platform. Host: This is incredibly powerful on a human level. But Alex, this is a business and technology podcast. What are the practical takeaways here for business leaders? Expert: This is where it gets very relevant. First, for any company building in the metaverse or developing collaborative digital platforms, this study is a roadmap for truly inclusive design. It shows that you need to intentionally design for features that enhance communication, freedom of movement, and user personalization. Host: So it's a model for product development in these new digital spaces. Expert: Exactly. And it also highlights an often-overlooked user base. Designing for inclusivity isn't just a social good; it opens up your product to a massive global market. Businesses can also apply these principles internally to create more inclusive remote work environments, ensuring employees with disabilities can fully participate in digital collaboration and company culture. Host: That’s a fantastic point about corporate applications. Is there anything else? Expert: Yes, and this is a critical takeaway. The study emphasizes that technology alone is not a magic bullet. The users succeeded because of what the researchers call 'facilitating conditions'—things like peer support, user training, and community helpers. Expert: For businesses, the lesson is clear: you can't just launch a product. You need to build and foster the support ecosystem and the community around it to ensure users can truly unlock its value. Host: Let’s recap then. Virtual worlds can be a powerful tool for social inclusion by providing five key opportunities: three functional ones that enable two social ones. Host: And for businesses, the key takeaways are to design intentionally for inclusivity, recognize this valuable user base, and remember to build the support system, not just the technology itself. Host: Alex Ian Sutherland, thank you for breaking this down for us. It’s a powerful reminder that technology is ultimately about people. Host: And thank you to our audience for tuning into A.I.S. Insights — powered by Living Knowledge.
Social Inclusion, Virtual Worlds (VW), People With Lifelong Disability (PWLD), Affordances, Second Life, Assistive Technology, Qualitative Study
MIS Quarterly Executive (2022)
Setting Priorities for Exploiting and Exploring Digital Capabilities in a Crisis
This study investigates how organizations should prioritize their digital investments during a crisis. Based on an in-depth analysis of 18 Australian organizations' responses to the COVID-19 pandemic, the paper provides a framework for IT leaders to decide whether to exploit existing digital capabilities or explore new ones.
Problem
In times of crisis, organizations rely heavily on their digital capabilities for survival and adaptation. However, IT leaders face the critical dilemma of whether to focus limited resources on making the most of current technologies (exploitation) or investing in new, innovative solutions (exploration), with little guidance on how to make this choice effectively.
Outcome
- Organizations should assess their 'starting position' at the onset of a crisis across five key factors: people, cultural, technical, managerial, and financial. - Based on this assessment, one of three crisis responses should be pursued: 'Survive', 'Survive and Thrive', or 'Thrive and Drive'. - For a 'Survive' response, organizations should focus exclusively on exploiting existing digital capabilities to maintain operations. - A 'Survive and Thrive' response requires initially exploiting current capabilities, followed by a later shift toward exploring new ones. - Organizations in a strong position can pursue a 'Thrive and Drive' response, concurrently exploiting and exploring capabilities, with an increasing focus on exploration as the crisis progresses.
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I’m your host, Anna Ivy Summers. In a crisis, business leaders have to make tough calls, especially when it comes to technology. Today, we're diving into a fascinating study titled, "Setting Priorities for Exploiting and Exploring Digital Capabilities in a Crisis". It provides a framework for IT leaders to decide whether to get the most out of their existing digital tools or to invest in brand new ones. Here to unpack it all is our analyst, Alex Ian Sutherland. Welcome, Alex.
Expert: Great to be here, Anna.
Host: Alex, we’ve all seen how the recent pandemic forced businesses to pivot almost overnight. What was the core technological dilemma that leaders were wrestling with?
Expert: The big question was where to put scarce resources. Do you double down on the technology you already have, just to keep the lights on and serve existing customers? The study calls this 'exploitation'—making the best of what you have.
Host: Or... the alternative?
Expert: The alternative is 'exploration'—investing in new, innovative solutions, or doing new things in better ways. The dilemma is that if you only focus on exploitation, you risk getting trapped with outdated tech when the crisis is over. But if you over-invest in exploration, you could run out of money before seeing any real benefit. It’s a very high-stakes balancing act.
Host: So how did the researchers figure out the right way to balance these two priorities?
Expert: They took a very practical approach. They conducted an in-depth study of 18 different Australian organizations across various industries—from healthcare to construction. They interviewed 27 IT leaders right in the middle of the pandemic to see what decisions they were making in real-time and what the outcomes were.
Host: It sounds like a view from the corporate trenches. So what did they find? Is there a one-size-fits-all answer for businesses?
Expert: No, and that’s the most important finding. The right strategy depends entirely on what the study calls an organization's 'starting position' at the moment the crisis hits.
Host: 'Starting position'? What does that mean exactly?
Expert: It's an assessment of the company's health across five key factors. First is People: what are your team's digital skills? Second, Cultural: is your company risk-averse or innovative? Third, Technical: how modern is your IT infrastructure? Fourth is Managerial: how strong is your leadership and your processes? And finally, Financial: what do your cash reserves look like?
Host: Okay, so you assess your company against those five factors. What happens next?
Expert: Based on that assessment, the study identifies three clear response paths a company can take: 'Survive', 'Survive and Thrive', or 'Thrive and Drive'.
Host: Let's break those down. What does a 'Survive' response look like?
Expert: If your starting position is weak—say, you have limited cash and legacy IT systems—the only goal is to survive. This means you focus exclusively on exploitation. You use your existing tech to automate and stabilize core operations. Forget new, risky projects; just keep the business running.
Host: That makes sense. What about the next level, 'Survive and Thrive'?
Expert: This is for companies in a stronger, middle-ground position. The strategy here is sequential. First, you exploit your existing tech to stabilize the business. But once you have some breathing room, you begin to explore new digital capabilities. The study highlights an aged care provider that first used existing tools for remote consultations, then later hired a new IT leader to explore innovative partnerships.
Host: And finally, for the companies that were in a great spot when the crisis began?
Expert: They can pursue a 'Thrive and Drive' response. These organizations have strong finances, modern tech, and an innovative culture. They can do both exploitation and exploration at the same time. One construction company in the study was able to streamline its current operations while also doubling its fleet of drones for new types of automated assessments. They didn't just survive; they used the crisis to accelerate past their competitors.
Host: This is incredibly practical. For a business leader listening right now, what is the single most important takeaway? How can they apply this framework?
Expert: The first step is to perform an honest self-assessment. The study even suggests a simple 'traffic light' system. For each of the five factors—People, Culture, Technical, Managerial, and Financial—rate yourself as red, yellow, or green. Red means the factor is hindering you, while green means it's accelerating you.
Host: So you get a clear, visual snapshot of your company's readiness.
Expert: Exactly. That snapshot tells you which of the three strategies you should adopt. It replaces gut feelings with a structured roadmap for making critical decisions under immense pressure. It tells you exactly where to focus your limited time, money, and energy.
Host: And I imagine this isn't just for navigating a crisis that's already here.
Expert: That's the most powerful part. The framework is really about preparing for the *next* crisis. By understanding these factors, leaders can start working today to improve their starting position. They can ask, 'What do we need to do to move our company from a 'Survive' position to a 'Thrive and Drive' one?' It’s a blueprint for building long-term organizational resilience.
Host: A fantastic summary. So, when a crisis hits, the key is to first assess your starting position across people, culture, tech, management, and finances.
Host: Then, based on that assessment, you choose your strategy: 'Survive' by focusing only on existing tech, 'Survive and Thrive' by stabilizing first and then innovating, or 'Thrive and Drive' by doing both at once.
Host: And crucially, you can use this framework right now to build a stronger, more resilient organization for whatever comes next. Alex, thank you for breaking that down for us.
Expert: My pleasure, Anna.
Host: That's all the time we have for A.I.S. Insights. Join us next time as we continue to explore the ideas shaping our world. I'm Anna Ivy Summers.
crisis management, digital capabilities, exploitation, exploration, organizational ambidexterity, IT leadership, COVID-19