AIS Research Insights

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AI Processed Human Approved

How do virtual worlds help people with lifelong disabilities move from social isolation to social inclusion?

Karen Stendal, Maung K. Sein, Devinder Thapa

Affordance-Based Pathway Model of Social Inclusion: A Case Study of Virtual Worlds and People With Lifelong Disability

Journal of the Association for Information Systems · 2026

Key findings

Identified three functional affordances (communicability, mobility, and personalizability) and two social affordances (engageability and self-actualizability) crucial for social inclusion.
Established that the actualization of functional affordances enables and dynamically interacts with social affordances to foster interpersonal relationships and community participation.
Discovered that outcomes achieved by actualizing specific affordances serve as facilitating conditions that support the perception and realization of additional affordances.
Extended affordance theory by demonstrating a feedback loop where social engagement refines and enhances the perception and use of basic functional capabilities.

What it means for you

CIO / IT Executive: On Monday morning, task your accessibility team to conduct an initial assessment of our current platform's 'communicability' features (e.g., real-time chat, group messaging, avatar-based interaction quality) against the research's identified functional affordances to understand potential barriers and opportunities for individuals with disabilities.
IT Manager: On Monday morning, schedule a 30-minute working session with your frontline support staff to review existing user feedback logs for mentions of difficulty with navigation, communication, or customization within our virtual environment, specifically looking for patterns that might align with limitations in perceived 'mobility' or 'personalizability' affordances.
Business Strategist: On Monday morning, initiate a competitive analysis focusing on how emerging virtual platforms or digital communities are leveraging 'engageability' and 'self-actualizability' affordances to foster user connection and content creation, particularly noting any strategies that might appeal to or benefit users with disabilities.
Researcher: On Monday morning, begin drafting a protocol for a pilot study within our organization's virtual world that focuses on measuring the impact of enhanced 'communicability' features on user-reported feelings of 'engageability' and 'self-actualizability' among a diverse user group, potentially including participants with disabilities.
Policymaker: On Monday morning, convene a brief meeting with your advisory committee to discuss how current digital inclusion policies might be strengthened by explicitly incorporating the research's identified 'functional affordances' (communicability, mobility, personalizability) and 'social affordances' (engageability, self-actualizability) as measurable criteria for assessing technological accessibility and support for social participation.

Social Inclusion, Virtual Worlds, People With Lifelong Disability, Affordances, Second Life, ICT

AI Processed Human Approved

How do stakeholders' past negative experiences affect their trust and adoption of new technology?

Ranjan Vaidya

Yoga Sutra-Based Memory Analysis of Information Systems Implementation

Communications of the Association for Information Systems · 2026

Key findings

The Yoga Sutra framework demonstrates that subliminal impressions (Samskara) formed by past unfair trade practices deeply influence stakeholder behaviors and technology adoption.
Contextual factors and research interviews function as triggers (Alambana) that evoke unpleasant memories, reinforcing distrust between system users, government boards, and private vendors.
Information system failures in developing contexts often result from a lack of adherence to core ethical and behavioral values rather than culture acting as a barrier.

What it means for you

CIO / IT Executive: On Monday morning, schedule a 30-minute discovery call with your Head of User Experience and your Chief Ethics Officer to brainstorm how to proactively identify and mitigate potential 'Samskara' (subliminal impressions) in upcoming system implementations by focusing on past negative stakeholder experiences.
IT Manager: On Monday morning, review the last three system user feedback reports for any recurring themes related to distrust or negative past experiences, and flag the top two recurring issues to investigate further for potential 'Alambana' (external triggers) in your current system.
Business Strategist: On Monday morning, draft a brief (one-page) internal memo to your team outlining the concept of 'Samskara' and its potential impact on technology adoption, and request them to identify one instance in recent projects where past negative impressions might have influenced user behavior.
Researcher: On Monday morning, begin drafting the introduction to your next research paper by clearly articulating the gap in current information systems research regarding the lack of focus on individual cognitive variations and Eastern philosophical perspectives on memory, using the Yoga Sutra framework as your proposed solution.
Policymaker: On Monday morning, initiate a discussion with your advisory board regarding the importance of embedding ethical and behavioral values into the design and implementation guidelines for all new government information systems, referencing the finding that failures often stem from a lack of adherence to these values, not culture.

Yoga, Information Systems, Memory, Behavioural Analysis, Samskara, ICT4D

AI Processed Human Approved

What drives users to stay engaged with location-based games and build real-world communities?

Faisal Al Thani, Chadi Aoun, Savanid Vatanasakdakul

Gamification for Community Building: Click to Shake Hands

Pacific Asia Conference on Information Systems (PACIS) · 2025

Key findings

Formulates a novel theoretical framework connecting technology adoption, gamification mechanics, external social influences, and intrinsic motivations to app stickiness and community engagement.
Identifies key drivers such as location incentives, perceived ease of use, reward value, achievement, network influence, herd behavior, social motive, and sense of belonging.
Establishes an empirical research design targeting over 1,000 active Pokémon GO players using Partial Least Squares Structural Equation Modeling (PLS-SEM).
Provides preliminary theoretical grounding for designing mobile gamified systems that promote social sustainability and persistent physical-world social interactions.

What it means for you

CIO / IT Executive: On Monday morning, allocate budget to pilot a location-based gamified application in one of our company's facilities, specifically focusing on fostering cross-departmental collaboration by integrating 'location incentives' for shared project spaces.
IT Manager: On Monday morning, schedule a meeting with your development team to discuss how to integrate elements like 'reward value' and 'achievement' into our existing internal communication platform to encourage more active participation and knowledge sharing.
Business Strategist: On Monday morning, initiate a brainstorming session with your marketing and product teams to identify opportunities to leverage 'network influence' and 'herd behavior' in upcoming product launches or community outreach initiatives, perhaps by creating exclusive early-access groups.
Researcher: On Monday morning, refine the survey instrument to include questions specifically measuring 'sense of belonging' and 'social motive' as distinct constructs, and prepare to recruit participants from diverse community groups for your next study.
Policymaker: On Monday morning, direct your staff to research successful public policy initiatives that have used location-based incentives or gamification to encourage citizen engagement with local services or community events, and identify potential applications for our jurisdiction.

Community Engagement, Gamification, Location-based games, Stickiness, Technology Adoption, Social Interaction

AI Processed Human Approved

What are the main benefits, challenges, and technical solutions when combining social, mobile, analytics, and cloud technologies?

Farhad Ali, Habib Ullah Khan, Shah Nazir

Social mobile analytics and cloud computing: a big data analytical approach

2026

Key findings

Identified main collaborative entities within SMAC ecosystems, including smartphones, cloud platforms, crowd participants, and environmental sensors.
Summarized key organizational and societal benefits such as enhanced decision-making, operational cost reduction, improved productivity, and expanded social engagement.
Classified primary adoption challenges, focusing on data privacy, security vulnerabilities, scalability limits, energy consumption, and system interoperability.
Compiled existing technical solutions from literature, highlighting techniques such as attribute-based encryption, anonymization methods, and hyper-heuristic frameworks.

What it means for you

CIO / IT Executive: On Monday morning, initiate a cross-departmental working group focused on assessing our current SMAC infrastructure against the identified adoption challenges (privacy, security, scalability, energy, interoperability) using the research's findings as a framework, and schedule an initial meeting for next week.
IT Manager: On Monday morning, begin a review of our existing data anonymization protocols and encryption techniques, cross-referencing them with the 'existing technical solutions' highlighted in the research to identify immediate gaps or opportunities for enhancement within our current cloud and mobile analytics platforms.
Business Strategist: On Monday morning, schedule a 30-minute brainstorming session with your core team to identify one specific business process that could significantly benefit from SMAC integration, and during that session, identify the most critical adoption challenge from the research that needs to be addressed first for this specific process.
Researcher: On Monday morning, create a detailed spreadsheet to categorize the 75 papers reviewed in this study by the specific SMAC component (Social, Mobile, Analytics, Cloud), the primary adoption challenge addressed, and the technical solution proposed, to facilitate further meta-analysis.
Policymaker: On Monday morning, draft a request for a preliminary impact assessment on user privacy and cybersecurity risks associated with the widespread adoption of SMAC technologies within our jurisdiction, drawing upon the challenges identified in the research as key areas to investigate.

SMAC Framework, Big Data, Cloud Computing, Social Media Analytics, Mobile Computing, Data Security

AI Processed Human Approved

How can location analytics be integrated into academic research and teaching to meet modern business needs?

Michael A. Erskine, James B. Pick, Asish Satpathy, Andrés Díaz López, Avijit Sarkar, Namchul Shin

Location Analytics in Information Systems: Opportunities for Research and Teaching

Communications of the Association for Information Systems · 2024

Key findings

Demonstrates how incorporating spatial methodologies (such as spatial autocorrelation and geographically weighted regression) can address complex societal 'wicked problems' like climate change, network disruption, and privacy.
Provides a strategic roadmap for integrating location analytics into undergraduate and graduate IS curricula to prepare students for high-demand business roles.
Outlines actionable steps to bridge academia and industry, including collaborative case study development, special journal issues, and enhanced faculty training in geospatial tools.

What it means for you

CIO / IT Executive: On Monday morning, schedule a 30-minute meeting with your Head of Data Science and Head of Business Intelligence to discuss a pilot project integrating a basic spatial analysis layer (e.g., visualizing customer locations on a map) into one of your existing dashboards for a specific business unit.
IT Manager: On Monday morning, identify one internal IT project or operational challenge (e.g., network outage analysis, data center resource allocation) that could potentially benefit from a spatial perspective, and research one readily available open-source geospatial tool (like QGIS) for initial exploration.
Business Strategist: On Monday morning, review your current customer segmentation data and identify 2-3 key business questions that might be better answered by understanding the geographical distribution of your customers (e.g., optimal new store locations, targeted marketing campaigns by region).
Researcher: On Monday morning, identify one of your current research projects and brainstorm 2-3 ways that incorporating spatial data or analysis (e.g., geographic clustering of events, spatial dependencies) could strengthen your theoretical contributions or add methodological rigor.
Policymaker: On Monday morning, contact a representative from a local urban planning or environmental agency to inquire about any existing spatial datasets related to community infrastructure, resource distribution, or environmental impact that might be publicly accessible.

Location Analytics, Spatial Analysis, IS Curriculum, Research Methodologies, Geographic Information Systems, Decision Support Systems

AI Processed Human Approved

How can business schools integrate location analytics into their curriculum and research to meet industry demand?

Michael A. Erskine, James B. Pick, Asish Satpathy, Andrés Díaz López, Avijit Sarkar, and Namchul Shin

Location Analytics in Information Systems: Opportunities for Research and Teaching

Communications of the Association for Information Systems · 2024

Key findings

Highlights key research opportunities where location analytics can address complex, multidisciplinary problems such as climate change, network disruptions, and location privacy.
Proposes a stepwise framework for business schools to integrate location analytics into IS courses, concentrations, and interdisciplinary programs.
Recommends action steps to strengthen industry-academic partnerships, train faculty, and promote spatial methodologies in leading IS journals.

What it means for you

CIO / IT Executive: On Monday morning, task your IT strategy team to identify one current business challenge (e.g., supply chain optimization, customer segmentation) that could be significantly improved by incorporating location data, and schedule a brief exploratory meeting to discuss potential pilot projects using spatial analysis tools.
IT Manager: On Monday morning, identify one existing data set within your organization that has inherent spatial components (e.g., customer addresses, store locations, sensor readings) and initiate a conversation with a data analyst about how to visualize and query this data using basic geospatial techniques.
Business Strategist: On Monday morning, review your current strategic plan and identify two key business objectives where understanding 'where' things happen or are located could provide a competitive advantage or unlock new opportunities, then brainstorm potential data sources for that 'where'.
Researcher: On Monday morning, identify one of your ongoing or future research projects that currently lacks a spatial dimension and draft a brief proposal outline for how integrating location analytics could address a key limitation or open new avenues of inquiry, referencing specific spatial methods mentioned in the literature.
Policymaker: On Monday morning, reach out to a representative from a local university's Information Systems or Geography department to inquire about potential collaborations or pilot programs for integrating location analytics into business curricula, focusing on areas relevant to local economic development or public services.

Location Analytics, Spatial Analysis, IS Curriculum, Research Methodologies, Geographic Information Systems, Spatial Business

ORCHESTRATION PARADOXES IN NATIONAL QUANTUM COMPUTING INNOVATION ECOSYSTEMS

AI Processed Human Approved

What competing tensions and trade-offs do leaders face when guiding national quantum computing ecosystems?

Jori Taipale, Olli Tyrväinen, Tuure Tuunanen, Joel Mero, Teiko Heinosaari

ORCHESTRATION PARADOXES IN NATIONAL QUANTUM COMPUTING INNOVATION ECOSYSTEMS

ECIS 2026 · 2026

Key findings

Organizing tensions were identified as the most frequent paradox, specifically focusing on the trade-offs between collaboration vs. resource competition and guidance vs. flexibility.
Performance tensions emerged regarding resource allocation between software vs. hardware development and building a shared vision vs. individual firm survival.
Belonging tensions highlighted a 'godfather' paradox, where the ecosystem must balance the state's role as a major supportive funder and customer with the ultimate goal of corporate independence.
Learning tensions were characterized by the challenge of managing multi-talent knowledge development versus narrow technology specialization.
The study is limited by its single qualitative case context in Finland with a small sample of 15 informants, requiring caution when applying these findings to other national contexts.

What it means for you

CIO / IT Executive: Schedule a 9:00 AM meeting with your lead enterprise architect to audit your current quantum-readiness roadmap, establishing a formal policy that divides software development and hardware access investments 50/50 to hedge against the performance tension of committing prematurely to a single unproven hardware stack.
IT Manager: Create a bi-weekly 1-hour 'Quantum Cross-Training' slot in your team's calendar starting this Friday, pairing your specialized quantum physics PhDs with your generalist cloud engineers to address the learning tension between narrow technical specialization and broad-based systems integration.
Business Strategist: Perform a revenue dependency audit to calculate the percentage of your quantum business unit's funding derived from state grants versus commercial clients, and draft a pitch deck for two private-sector pilots to actively transition away from 'godfather' state-funding reliance.
Researcher: Draft a pre-competitive collaboration agreement template to send to a peer researcher at a competing institution, outlining a shared framework for baseline algorithm testing while clearly defining IP boundaries to manage the tension of collaboration versus resource competition.
Policymaker: Draft a revision for the upcoming national quantum funding round guidelines that introduces a 'co-investment requirement,' mandating that state-funded consortia secure at least 25% of their budget from private corporate buyers to counter the 'godfather' dependency paradox.

Ecosystem orchestration, Paradox theory, Quantum computing innovation ecosystem, Explorative case study, Interpretive qualitative research

TOWARDS DESIGN PRINCIPLES FOR TEACHING INDUSTRY 4.0 COMPETENCIES TO CS/IS STUDENTS

AI Processed

How can educators effectively teach modern industrial software skills without expensive physical equipment?

Felix Salcher

TOWARDS DESIGN PRINCIPLES FOR TEACHING INDUSTRY 4.0 COMPETENCIES TO CS/IS STUDENTS

ECIS 2026 · 2026

Key findings

Eight design principles were established, emphasizing virtualization, containerization, and problem-based learning cases as alternatives to expensive learning factories.\n- Preliminary course evaluation yielded positive descriptive feedback, with a mean rating of 4.43 out of 5 across satisfaction categories.\n- No formal statistical significance tests were performed due to the pilot nature of the study and the small, specific evaluation sample.\n- The pilot is limited by a very small sample size (9 respondents from a single cohort) and relies on subjective student perceptions rather than objective competency-based assessments.\n- Students noted difficulty adapting to the course's fast pace and programming requirements, highlighting a need for aligned prerequisites.

What it means for you

CIO / IT Executive: Direct your enterprise architecture team to draft a transition plan to replace physical IT hardware training labs with virtualized, containerized sandbox environments (e.g., Docker/Kubernetes) to reduce infrastructure costs and align onboarding with modern Industry 4.0 software architectures.
IT Manager: Review the programming prerequisites of your junior developers and assign them a structured, hands-on troubleshooting task using a containerized microservice mock-up on Monday morning to assess their readiness for complex Industry 4.0 integration projects.
Business Strategist: Reallocate a portion of next quarter's talent development budget away from high-cost physical equipment training and toward scalable, software-based virtual simulators to cost-effectively build digital twin and data architecture competencies.
Researcher: Draft a research proposal to conduct a multi-institution comparative study on these eight design principles, incorporating objective pre- and post-intervention technical testing rather than relying on subjective student feedback to measure competency gains.
Policymaker: Create a state-level educational grant initiative that incentivizes higher education institutions to update computer science curricula with virtualization-based Industry 4.0 frameworks, shifting funding priority away from physical learning factories.

Design Principles, Design Science Research, Industry 4.0, Smart Manufacturing

THE ANATOMY OF A DESIGN CHALLENGE FOR INITIATING AI INNOVATION

AI Processed Human Approved

How should teams structure initial challenges to successfully launch AI projects?

Franziska Anna Röckel, Benjamin van Giffen, Andreas Janson, Jennifer Hehn

THE ANATOMY OF A DESIGN CHALLENGE FOR INITIATING AI INNOVATION

ECIS 2026 · 2026

Key findings

The study empirically validated a structural anatomy for the Design Challenge consisting of four robust elements (verb, object of innovation, target group, context) and three plastic elements (internal data, technology, potential), which was supported across all 42 cases analyzed.
The robust elements were validated to successfully create a stable, shared identity and common direction among diverse team members, acting as a center of authority.
The plastic elements were shown to successfully absorb technological uncertainty, providing a flexible framework for teams to negotiate and adapt to AI's emergent capabilities over time.
The qualitative analysis identified three distinct nuances in shaping the 'object of innovation' (modular, abstract, and space) that guide teams toward either incremental or more radical innovation pathways.

What it means for you

CIO / IT Executive: Mandate that all upcoming AI project proposals use a standardized 'Design Challenge' charter template structured around the 4 robust elements (verb, object of innovation, target group, context) and 3 plastic elements (internal data, technology, potential), explicitly forbidding teams from locking in a rigid technical architecture in their initial pitch.
IT Manager: Gather your interdisciplinary project team for a 60-minute workshop on Monday morning to co-create a 'Design Challenge' statement, explicitly defining the stable 'robust' elements to align the business and tech members, while leaving the 'plastic' elements (like specific data sources and AI models) open as flexible targets to be negotiated as the project progresses.
Business Strategist: Review your company's AI project portfolio on Monday morning and intentionally rewrite the 'object of innovation' for each project: frame them as 'modular' if you need predictable, incremental improvements, or rewrite them as 'space-based' (e.g., focused on broad capabilities) if you want to push the team toward radical, disruptive business model innovation.
Researcher: Update your qualitative coding scheme for ongoing field studies of AI adoption to track how frequently and at what project stages teams modify the 'plastic' elements (internal data, technology, potential) versus the 'robust' elements of their project charters to measure the empirical threshold where technological uncertainty triggers project misalignment.
Policymaker: Revise the application guidelines for the upcoming public AI innovation grant cycle to replace rigid 'technical specifications' requirements with a mandatory 'Design Challenge' framework, scoring applicants on the clarity of their robust elements (target group, context) and the adaptive flexibility of their plastic elements (data and technology integration plans).

Design Challenge, AI Innovation, Boundary Object, Anatomy, Interdisciplinary Collaboration, Problem Formulation

WHEN WE CANNOT STOP THE DATA FLOW: THE EMOTIONAL LIFE OF DATA IN A CHILDREN’S DAYCARE CENTER

AI Processed

How does continuous digital reporting affect emotional pressure, trust, and staff autonomy in childcare centers?

Lea Püchel, Tobias Brandt

WHEN WE CANNOT STOP THE DATA FLOW: THE EMOTIONAL LIFE OF DATA IN A CHILDREN’S DAYCARE CENTER

ECIS 2026 · 2026

Key findings

This is a qualitative, ethnographic case study, meaning it does not test quantitative hypotheses or report statistical significance values.
The qualitative data supports a sequential three-stage framework showing how digital opportunity transitions into perceived control and safety, data reassurance dependency, and ultimately internalized data-driven surveillance.
In the highly digitalized center, continuous digital updates successfully provided a feeling of safety but created an addictive loop where any absence of data was interpreted as a signal of risk.
Educators did not openly resist the system but instead practiced adaptive, situated compliance, adjusting their timing, tone, and messaging to meet platform expectations.
The comparative boundary case with lower-intensity digital reporting demonstrated that a slower communication rhythm can temper the emergence of the full data-dependency cycle.

What it means for you

CIO / IT Executive: On Monday morning, reconfigure your enterprise communication and tracking platforms to aggregate non-critical status updates into a single daily digest at 4:00 PM, rather than allowing real-time push notifications, to actively break the expectation of continuous monitoring.
IT Manager: On Monday morning, audit the daycare platform's dashboard interface and replace all default automatic 'No Data' warning flags or empty progress bars with a neutral status indicator to eliminate the false perception of operational risk during quiet hours.
Business Strategist: On Monday morning, draft and distribute a 'Communication Cadence Agreement' to clients that explicitly sets the expectation of only two digital updates per day, actively framing this slower rhythm as a premium service feature that ensures staff are focused on active care rather than screens.
Researcher: On Monday morning, draft a research proposal to conduct a comparative diary study of frontline workers in relationship-heavy sectors like eldercare, specifically measuring the psychological friction and time spent on 'situated compliance' tasks versus actual patient care.
Policymaker: On Monday morning, draft a policy amendment for child and eldercare labor standards that prohibits the use of real-time telemetry and continuous digital logging frequency as metrics for assessing staff performance and regulatory compliance.

Data work, future of work, reporting systems, relational data, data dependency

UNPACKING THE ROLE OF INDIVIDUALS IN PROCESS MINING: A LITERATURE REVIEW AND RESEARCH FRAMEWORK

AI Processed

How do individual user behaviors and attitudes impact the business value generated from process mining?

Julian Dyong, Sandro Franzoi, Jan vom Brocke

UNPACKING THE ROLE OF INDIVIDUALS IN PROCESS MINING: A LITERATURE REVIEW AND RESEARCH FRAMEWORK

ECIS 2026 · 2026

Key findings

The review identifies and establishes user behavior, usage patterns, and affect (such as uncertainty and trust) as the three core elements constituting the individual level of process mining, supported by the synthesized literature.
The analysis reveals that technical, individual, and organizational contingency factors systematically influence user behavior and affect; for example, data inaccuracies undermine user trust, while formal training and methodological guidance support correct execution.
Individual behaviors and affective states are shown to directly impact value outcomes, with structured behaviors like hypothesis testing decreasing analysis duration and increasing the quality of insights.
Key limitations of the study include its reliance on a limited sample of 23 reviewed papers, a static framework that does not capture sequential or temporal dynamics, and a lack of true inter-coder reliability during the qualitative coding process.

What it means for you

CIO / IT Executive: Initiate a data audit of the source pipelines feeding your enterprise process mining tools to eliminate data discrepancies, directly addressing the research finding that data inaccuracies severely undermine user trust and derail tool adoption.
IT Manager: Add a mandatory 'Hypothesis-First' template to your team's process mining workflow on Monday morning, requiring analysts to document their specific diagnostic hypothesis before running queries to enforce structured behavior and reduce analysis duration.
Business Strategist: Redesign the process mining ROI dashboard to measure actual business value outcomes (e.g., cost savings from process changes) rather than user log-in frequency, linking individual analytical insights directly to operational KPIs.
Researcher: Draft a research design for a longitudinal study tracking 20 process mining analysts over six months to capture the sequential and temporal dynamics of user affect and trust, directly addressing the static limitations of current literature.
Policymaker: Establish an internal organizational standard mandating that no department may deploy process mining software without integrating a formal training and methodological guidance program, ensuring compliant and high-quality data execution.

Process Mining, Individual Level, Literature Review, Research Framework, Value Creation, User Behavior

AI Processed Human Approved

How can companies and employees successfully negotiate a nomadic lifestyle alongside permanent corporate employment?

Julian Marx, Milad Mirbabaie, Stefan Stieglitz

Corporate Nomads: Working at the Boundary Between Corporate Work and Digital Nomadism

Journal of the Association for Information Systems · 2025

Key findings

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.

Corporate Nomads, Digital Nomads, Boundary Work, Digital Work, Information Systems

AI Processed Human Approved

How can energy grid companies successfully design and implement digital twins?

Christian Meske, Karen S. Osmundsen, Iris Junglas

Designing and Implementing Digital Twins in the Energy Grid Sector

MIS Quarterly Executive · 2021

Key findings

The digital twin provides real-time and historical insights into the grid's status, enabling proactive maintenance, prediction of component failures, and more efficient management of power loads.
It serves as a powerful simulation tool to model future scenarios, such as the impact of increased electrification from electric ferries, allowing for better long-term planning and investment.
Successful implementation requires a strong focus on organizational learning, innovative co-creation with technology partners, and continuous feedback from end-users throughout the project.
The project highlighted the critical importance of evolving data governance, forcing the company to tackle complex issues of data security, integration, and standardization to unlock the full potential of the digital twin.

Digital Twin, Energy Sector, Grid Management, Digital Transformation, Organizational Learning, Co-creation, Data Governance

AI Processed Human Approved

Why does the same technology succeed in one organization but fail in another?

Abdul Sesay, Elena Karahanna, and Marie-Claude Boudreau

EMERGENCE OF IT IMPLEMENTATION CONSEQUENCES IN ORGANIZATIONS: AN ASSEMBLAGE APPROACH

MIS Quarterly · 2025

Key findings

The process through which technology creates new behaviors and practices is complex and non-linear, occurring in three distinct phases (individuation, composition, and actualization).
Successful implementation is not guaranteed; it depends on the careful alignment of the technology itself (material components) with policies, training, and user adoption (expressive components) at each stage.
The study found that of the three police departments, only one successfully implemented body cameras because it carefully selected high-quality equipment, developed specific policies for its use, and ensured officers were trained and held accountable.
The other two departments experienced failure or delays due to poor quality equipment, generic policies, and inconsistent use, which prevented new, positive practices from taking hold.
The model shows that outcomes emerge over time and may require continuous adjustments, demonstrating that success is an ongoing process, not a one-time event.

IT implementation, Assemblage theory, body-worn camera, organizational change, police technology, process model

AI Processed

How can governments and industry leaders create effective rules for emerging technologies without stifling innovation?

Stefan Seidel, Christoph J. Frick, Jan vom Brocke

REGULATING EMERGING TECHNOLOGIES: PROSPECTIVE SENSEMAKING THROUGH ABSTRACTION AND ELABORATION

MIS Quarterly · 2025

Key findings

Creating effective regulation for new technologies is a process of 'collective prospective sensemaking,' where diverse stakeholders build a shared understanding over time.
This process relies on two interrelated activities: 'abstraction' and 'elaboration'. Abstraction involves generalizing the essential properties of a technology to create flexible, technology-neutral rules that encourage innovation.
Elaboration involves specifying details and requirements to provide legal certainty and protect users.
Through this process, the regulatory target can evolve significantly, as seen in the case study's shift from regulating 'blockchain/cryptocurrency' to a broader, more durable law for the 'token economy' and 'trustworthy technology'.

Technology regulation, prospective sensemaking, sensemaking, institutional construction, emerging technology, blockchain, token economy

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