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Illustration for: How is artificial intelligence reshaping academic work, and what opportunities and risks does it present?

Key question

How is artificial intelligence reshaping academic work, and what opportunities and risks does it present?

A Panel Report on the Implications of Artificial Intelligence for Academic Knowledge Work
Tursunbayeva, Renkema, Charlwood, et al. · Communications of the AIS · 2026

Artificial Intelligence & Automation

What it means for you
  • CIO / IT Executive On Monday morning, initiate a cross-departmental working group meeting to inventory existing AI tool usage across teaching, research, and administrative functions, identifying commonalities and immediate risks based on the 'Key Findings' regarding AI hallucinations and ethical concerns.
  • IT Manager On Monday morning, schedule a technical assessment to evaluate the security protocols and data privacy implications of the most commonly used AI tools (e.g., ChatGPT, Copilot) currently being utilized by academic staff, referencing the 'Key Findings' on ethical risks.
  • Business Strategist On Monday morning, begin drafting a preliminary AI integration roadmap for academic workflows by identifying 2-3 specific routine teaching preparation or scholarly writing tasks (as per 'Key Findings') that could be piloted for AI automation within the next quarter.
  • Researcher On Monday morning, experiment with using an AI tool like ChatGPT or Copilot to draft an initial outline for a grant application section (referencing 'Key Findings' on streamlining grant workflows) or to refine a paragraph for clarity if English is not your primary language, noting both the efficiencies gained and any potential 'hallucinations' or quality degradation.
  • Policymaker On Monday morning, schedule a review of current institutional policies related to academic integrity and technology use, specifically flagging areas that need to be updated to address the 'Key Findings' on AI hallucinations, the degradation of peer-review quality, and the erosion of critical learning skills.
Illustration for: How can organizations define and select performance indicators for collaborative business networks?

Key question

How can organizations define and select performance indicators for collaborative business networks?

Managing Performance in Collaborative Networks: A Method for Defining Key Performance Indicators for Collaborative Business Models
van de Ven, Machado, Aysolmaz, et al. · Business & Information Systems Engineering · 2026

Operations & Supply Chain

What it means for you
  • CIO / IT Executive On Monday morning, initiate a pilot project to apply the three-step KPI definition method to one specific collaborative network your organization participates in, focusing on identifying and documenting initial network-level KPIs using your existing data infrastructure.
  • IT Manager On Monday morning, schedule a working session with a key business stakeholder from a collaborative project to begin the 'KPI specification' step of the research method, focusing on articulating the desired outcomes for that specific collaboration.
  • Business Strategist On Monday morning, review the research's findings on differentiating KPI scopes and draft a preliminary list of potential network, subnet, and actor-level KPIs for a newly forming collaborative initiative.
  • Researcher On Monday morning, begin designing a case study to apply and further refine the proposed KPI definition method within a new collaborative business scenario, focusing on the 'multi-criteria KPI selection' and 'attribute operationalization' steps.
  • Policymaker On Monday morning, identify a specific public-private collaborative initiative and begin exploring how the research's approach to KPI definition could be adapted to measure its network-wide alignment and individual actor contributions effectively.
Illustration for: How can organizations successfully implement digital identity wallets and overcome common adoption challenges?

Key question

How can organizations successfully implement digital identity wallets and overcome common adoption challenges?

Digital Identity Wallets: A Guide to the EU’s New Identity Model
Kudra, Rieger, Sedlmeir, et al. · Information Systems Journal · 2026

Cybersecurity & Privacy

What it means for you
  • CIO / IT Executive Schedule a 30-minute internal briefing for your core IT leadership team to present the attached research summary and assign a point person to investigate the 'technical maturity' obstacles identified in the key findings within the context of our existing identity and access management infrastructure.
  • IT Manager On Monday morning, compile a list of all current third-party single sign-on providers used by the organization and identify which of these might be candidates for integration or replacement with a digital identity wallet solution in the future, flagging any immediate integration challenges or risks.
  • Business Strategist Dedicate one hour on Monday morning to reviewing the 'ecosystem value co-creation' challenges mentioned in the research and brainstorm at least three potential business use cases within our organization where a digital identity wallet could unlock new revenue streams or significantly improve customer experience.
  • Researcher Begin analyzing the 12 practical experience case studies mentioned in the research by focusing on the 'organizational integration' obstacles. Identify and document recurring themes and successful mitigation strategies from at least three diverse industry examples to inform our own adoption framework.
  • Policymaker Initiate a dialogue with legal and compliance teams on Monday morning to assess the implications of the 2026 EU mandate for digital wallet support, specifically identifying any current regulatory gaps or areas where policy clarification will be needed to facilitate the adoption of wallet-based identity models.
Illustration for: Why do similar small businesses adopting the same digital platform experience vastly different business model outcomes?

Key question

Why do similar small businesses adopting the same digital platform experience vastly different business model outcomes?

The impact of digital platform introduction on business models in SMEs—The interplay of efficiency and innovation orientation
Hönigsberg, Li, Korneeva, et al. · Journal of Strategic Information Systems · 2026

Digital Transformation & Strategy

What it means for you
  • CIO / IT Executive On Monday morning, review the platform's user adoption metrics from the past month, specifically looking at the depth of operational embedding (e.g., number of workflows integrated, data points shared) across different teams, and identify any teams demonstrating shallow engagement.
  • IT Manager On Monday morning, schedule a brief check-in with the team responsible for platform integration, asking them to identify one specific, recurring operational task that could be further streamlined through deeper platform usage, and outline the steps to achieve this.
  • Business Strategist On Monday morning, analyze the platform's current capabilities and identify one potential co-branding opportunity with another SME on the platform that leverages existing operational efficiencies but could lead to a novel offering.
  • Researcher On Monday morning, begin compiling a list of the specific operational metrics used by the four case study firms to measure 'efficiency-focused platform orientation' and note down any qualitative data collected on 'deep operational embedding'.
  • Policymaker On Monday morning, initiate a review of existing SME digital platform adoption support programs, focusing on how they encourage 'deep operational embedding' beyond initial efficiency gains and measure long-term transformative outcomes.
Illustration for: How can AI governance be adapted to fit local cultural and ethical values around the world?

Key question

How can AI governance be adapted to fit local cultural and ethical values around the world?

Toward Cultural–Ethical Fit in AI Governance: A Global Typology of Governance Profiles
Symeonidis, Schneider, Nikiforova · ECIS · 2026

Cybersecurity & Privacy

What it means for you
  • CIO / IT Executive On Monday morning, schedule a 30-minute deep dive with your legal and ethics teams to identify which of the eight AI governance profiles identified in the research most closely aligns with your organization's current AI development and deployment practices, and flag any immediate misalignments.
  • IT Manager On Monday morning, initiate a review of your team's current AI project documentation and development methodologies, specifically looking for instances where decisions about fairness, transparency, or accountability might have been implicitly influenced by a single cultural perspective (e.g., U.S.-centric) and note them for further discussion.
  • Business Strategist On Monday morning, begin analyzing your organization's key international markets and identify the primary cultural value orientations that characterize them, then cross-reference this with the meta-tensions (social justice vs. economic competitiveness, autonomy vs. security) to anticipate potential governance friction for upcoming AI initiatives.
  • Researcher On Monday morning, begin drafting a short literature review outline focusing on how cultural value orientations (e.g., individualism vs. collectivism) have historically shaped the adoption and regulation of other transformative technologies (e.g., the internet, biotechnology) to draw parallels with AI governance.
  • Policymaker On Monday morning, review the 'diagnostic decision framework' mentioned in the research, and identify one specific AI guideline (e.g., data privacy regulations) that your jurisdiction currently applies universally, then brainstorm how to adapt its interpretation to better fit the dominant cultural value orientations of your primary constituent groups.
Illustration for: What roles can generative AI play in data quality management, and how should leaders govern them?

Key question

What roles can generative AI play in data quality management, and how should leaders govern them?

A Typology For Responsible Delegation Of Data Quality Management To Generative AI
Roht, Nikiforova, Lefebvre · ECIS · 2026

Data Analytics & Big Data

What it means for you
  • CIO / IT Executive On Monday morning, initiate a review of your organization's current DQM tool landscape to identify which, if any, are actively experimenting with or have integrated GenAI capabilities, and schedule a follow-up meeting with the IT Manager to discuss initial findings and potential pilot opportunities based on the 'Translator' role.
  • IT Manager On Monday morning, dedicate an hour to review the existing data quality rulebooks and documentation within your team's purview, noting down specific areas where natural language descriptions of data quality issues or desired rules are prevalent, to prepare for a discussion with the CIO/IT Executive about the potential application of the 'Translator' GenAI role.
  • Business Strategist On Monday morning, identify one critical business process that is currently hampered by data quality issues and then, using the 'Explainer' GenAI role as a conceptual framework, draft three potential narrative-style questions you would ask an AI about the root causes and impact of these data quality problems to present to stakeholders.
  • Researcher On Monday morning, begin by outlining a research proposal to investigate the effectiveness and potential biases of GenAI 'Resolver' roles in correcting common data anomalies within a specific industry domain, drawing upon the governance guidelines related to mandatory human validation for high-impact actions.
  • Policymaker On Monday morning, begin drafting a preliminary policy document that outlines the principle of 'retained human accountability' for any data quality decisions made or influenced by GenAI within the organization, focusing on the need for clear audit trails and oversight for 'Resolver' and 'Integrator' roles.
Illustration for: How do virtual worlds help people with lifelong disabilities move from social isolation to social inclusion?

Key question

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

Affordance-Based Pathway Model of Social Inclusion: A Case Study of Virtual Worlds and People With Lifelong Disability
Stendal, Sein, Thapa · Journal of the AIS · 2026

Cloud & Infrastructure

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

Key question

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

Yoga Sutra-Based Memory Analysis of Information Systems Implementation
Vaidya · Communications of the AIS · 2026

Data Analytics & Big Data

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.
Illustration for: How does making conversational agents appear more human affect customer reactions when errors occur?

Key question

How does making conversational agents appear more human affect customer reactions when errors occur?

Artificial Normality: How Conversational Agents’ Perceived Humanness Inhibits Error Attribution and Preserves Satisfaction
Brendel, Lichtenberg, Hildebrandt, et al. · Journal of Management Information Systems · 2026

Cybersecurity & Privacy

What it means for you
  • CIO / IT Executive On Monday morning, allocate budget to pilot the integration of more human-centric design principles (e.g., nuanced language, empathetic phrasing) into our core customer-facing conversational agent, focusing on areas where process errors are most common, to preemptively reduce user error attribution and maintain satisfaction.
  • IT Manager On Monday morning, task your development team to review our current conversational agent's dialogue logs for instances of process errors and identify the top 3 most frequent error types to begin redesigning their responses with more humanlike cues (e.g., slight pauses, conversational fillers) to normalize the situation for users.
  • Business Strategist On Monday morning, initiate a cross-functional workshop with marketing and product development to explore how to strategically position our conversational agents' perceived humanness in customer communications, emphasizing its role in creating a seamless experience even when minor technical glitches occur.
  • Researcher On Monday morning, begin designing a follow-up study that experimentally manipulates specific humanlike conversational features (e.g., varying levels of politeness, acknowledgment of difficulty) within a simulated error scenario to quantify their direct impact on error attribution and situational normality, building upon the findings of Artificial Normality.
  • Policymaker On Monday morning, convene a small working group to draft guidelines for the ethical development of conversational agents, recommending that AI design standards encourage the incorporation of humanlike qualities to enhance user experience and mitigate negative reactions to inevitable system errors, rather than solely focusing on pure efficiency.
Illustration for: How do individual user behaviors and attitudes impact the business value generated from process mining?

Key question

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

Unpacking the Role of Individuals in Process Mining: A Literature Review and Research Framework
Dyong, Franzoi, vom Brocke · ECIS · 2026

Operations & Supply Chain

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.
Illustration for: How does digital transformation affect a nonprofit's identity, and how are resulting internal conflicts resolved?

Key question

How does digital transformation affect a nonprofit's identity, and how are resulting internal conflicts resolved?

Nonprofits' Digital Transformation: Understanding Organisational Identity Dynamics
Torres, Pchel, Zimmer, et al. · ECIS · 2026

Digital Transformation & Strategy

What it means for you
  • CIO / IT Executive Meet with your internal communications lead on Monday morning to rewrite the launch narrative of your current digital initiative; frame the IT upgrades not as a 'system migration for efficiency,' but as a vital strategic weapon designed to help your activists defeat the organization's primary external adversary.
  • IT Manager Identify the regional office or department most resistant to the new software rollout and schedule a 30-minute call with their team leader on Monday morning to ask how the system can be configured to protect their local autonomy, rather than forcing a standardized corporate workflow.
  • Business Strategist Review your draft digital strategy document first thing Monday morning and audit its vocabulary; strip out commercial, for-profit terminology like 'customer acquisition,' 'user monetization,' and 'ROI,' replacing them with values-driven terms like 'supporter mobilization' and 'mission impact.'
  • Researcher On Monday morning, draft a outreach email to directors of three small, community-based local charities to pitch a comparative study, testing if the five-period recursive digital transformation model identified at Greenpeace holds true in non-federated, resource-constrained nonprofit settings.
  • Policymaker On Monday morning, update your organization's digital funding policy and grant application templates to remove mandatory 'commercial viability' metrics, instead requiring applicants to demonstrate how the requested digital grant will reinforce and scale their core mission-based values.
Illustration for: How does continuous digital reporting affect emotional pressure, trust, and staff autonomy in childcare centers?

Key question

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

When We Cannot Stop the Data Flow: The Emotional Life of Data in a Children’s Daycare Center
Püchel, Brandt · ECIS · 2026

Data Analytics & Big Data

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.
Illustration for: How should teams structure initial challenges to successfully launch AI projects?

Key question

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

The Anatomy of a Design Challenge for Initiating AI Innovation
Röckel, van Giffen, Janson, et al. · ECIS · 2026

Cloud & Infrastructure

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).
Illustration for: How does using ChatGPT affect worker performance, workload, and their sense of ownership over problem-solving tasks?

Key question

How does using ChatGPT affect worker performance, workload, and their sense of ownership over problem-solving tasks?

Support or Substitution: How ChatGPT Affects Cognitive Load, Ownership, and Performance in Problem-Solving
Freise, Moritz · ECIS · 2026

Human-Computer Interaction

What it means for you
  • CIO / IT Executive Sign off on the procurement and scheduling of a mandatory 'AI Literacy and Collaborative Prompting' training program for all departments currently using generative AI, rather than just distributing licenses, to actively counter the erosion of psychological ownership and help staff manage cognitive load.
  • IT Manager Schedule a 30-minute team meeting to establish a 'Human-in-the-Loop' workflow review protocol, requiring team members to explicitly document, edit, and present their personal contributions to any ChatGPT-generated deliverables to re-establish psychological ownership over their outcomes.
  • Business Strategist Draft a proposal to revise departmental key performance indicators (KPIs), shifting the metrics of success from speed and volume (temporal savings) to qualitative, human-curated excellence to prevent employees from disengaging and treating their roles as outsourced, low-ownership tasks.
  • Researcher Write a research proposal for a multi-week longitudinal field study with a cohort of at least 250 participants to track whether the observed short-term reduction in psychological ownership from AI usage leads to long-term employee disengagement or performance declines over time.
  • Policymaker Publish a revised corporate governance policy that defines a 'Responsible Authorship' standard, mandating that the human employee remains 100% accountable for the accuracy and quality of AI-assisted outputs to prevent the dilution of organizational responsibility.
Illustration for: How can educators effectively teach modern industrial software skills without expensive physical equipment?

Key question

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

Towards Design Principles for Teaching Industry 4.0 Competencies to CS/IS Students
Salcher · ECIS · 2026

Operations & Supply Chain

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.
Illustration for: Can real-time advice keep citizens engaged in collecting local heat data using wearable sensors?

Key question

Can real-time advice keep citizens engaged in collecting local heat data using wearable sensors?

A Context-Aware Urban Heat Companion for Prosumer Participatory Sensing and Just-in-Time Adaptive Intervention
von Heyden, Kuhlmeier, Parsons, et al. · ECIS · 2026

Sustainability & Green IS

What it means for you
  • CIO / IT Executive Authorize a pilot project to integrate on-device, context-aware processing capabilities into the company's mobile application roadmap, shifting away from centralized cloud polling to enable low-latency, real-time push notifications driven by on-device sensor data.
  • IT Manager Update the push-notification system's scheduling logic to restrict alerts to high-relevance afternoon windows (12:00 PM to 4:00 PM) and truncate copy to short, single-action prompts like 'Hydration & Cooling' to maximize user compliance rates.
  • Business Strategist Redesign the incentive structure of our data-collection app to offer immediate, personalized 'micro-utility' benefits—such as real-time local comfort scores—directly to the user upon data submission, mitigating long-term participation fatigue.
  • Researcher Draft a research proposal and power analysis for a randomized controlled trial (RCT) with a target sample size of at least 150 participants to statistically validate the behavioral impacts and compliance rates of the Heat Companion's adaptive interventions.
  • Policymaker Draft a municipal initiative to equip outdoor public-sector employees (such as postal or sanitation workers) with wearable micro-climate sensors to map urban heat islands where official weather stations lack coverage.
Illustration for: What competing tensions and trade-offs do leaders face when guiding national quantum computing ecosystems?

Key question

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

Orchestration Paradoxes in National Quantum Computing Innovation Ecosystems
Taipale, Tyrväinen, Tuunanen, et al. · ECIS · 2026

Operations & Supply Chain

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.
Illustration for: How do people's personality traits shape the way they design their avatars in virtual worlds?

Key question

How do people's personality traits shape the way they design their avatars in virtual worlds?

Avatar Design and User Personality Traits: Systematic Literature Review on Identity Construction Through Avatar in the Metaverse
Kim, Zamani, Spanaki · ECIS · 2026

E-Commerce & Digital Platforms

What it means for you
  • CIO / IT Executive On Monday morning, sign off on a procurement budget to upgrade the remote team's hardware from standard webcams to high-fidelity VR headsets with motion-tracking capabilities, directly leveraging the finding that immersive hardware systematically increases presence, embodiment, and professional user-avatar behavioral alignment in virtual workspaces.
  • IT Manager On Monday morning, reconfigure the onboarding settings of your company's virtual collaboration platform (e.g., Microsoft Mesh) to offer two distinct avatar creation paths: a fast-track 'realistic photo-to-avatar' tool to satisfy conscientious employees who value physical resemblance, and an 'advanced creative' toolkit with diverse assets for employees high in openness.
  • Business Strategist On Monday morning, restructure the digital product roadmap for your virtual storefront to prioritize two distinct, personality-targeted microtransaction lines: a premium line of highly visible, socially expressive, and outgoing avatar accessories for extraverted users, and a baseline line of realistic, professional attire for highly conscientious users.
  • Researcher On Monday morning, draft a research proposal and IRB application for a comparative study tracking avatar customization behaviors of non-English-speaking users in modern, high-fidelity platforms (like VRChat or Horizon Worlds), explicitly addressing the current literature limitations regarding English-only studies and outdated Second Life data.
  • Policymaker On Monday morning, draft an organizational 'Metaverse Identity Privacy Policy' that explicitly bans the algorithmic profiling of users based on their self-avatar discrepancy, ensuring that users (particularly women experiencing identity discrepancy related to neuroticism) are protected from targeted behavioral manipulation or bias based on their digital representations.