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Welcome to AIS Insights

Research for the AI Transformation
The AIS Insights editors · AIS Insights · 2026
  • AIS Insights, an initiative of the Association for Information Systems, brings current Information Systems research to practice, where leaders need it most in times of AI.
  • Every insight starts from a question digital leaders face in practice, answers it with the study's findings, and says what they mean for five roles: CIO or IT executive, IT manager, business strategist, researcher and policymaker.
  • Each study comes three ways: the key question and findings to read, a short episode to listen to, and its core idea in one visual, all in eleven languages.
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What it means for you:

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79 insights from AIS journals, conferences and related outlets

Illustration for: How can digital experimentation platforms help city leaders make better, more adaptive urban sustainability policies?

Key question

How can digital experimentation platforms help city leaders make better, more adaptive urban sustainability policies?

How to Cope with the Dynamics of Urban Sustainability: Urban Experimentation Platforms as Tools for Adaptive Policy-Making
Rehm, McLoughlin, Donnellan · ECIS · 2022
What it means for you
  • CIO / IT Executive Audit current urban data platforms to ensure they include incoming feedback channels from local experimentation trials, rather than functioning solely as one-way broadcast tools.
  • IT Manager Configure dashboard alerts to aggregate and flag real-time stakeholder feedback and usage metrics from ongoing urban sustainability pilots.
  • Business Strategist Initiate a meeting with municipal authorities and local business ecosystem partners to design a recurring framework for collaborative problem-solving using platform data.
  • Researcher Apply system dynamics modeling to map the existing stakeholder feedback loops within your city's active urban experimentation platforms.
  • Policymaker Review the latest data reports from active local sustainability trials and draft a plan to update an existing municipal policy based on the trial results.
Operations & Supply Chain
Illustration for: What causes organizational inertia during digital transformation, and how does it block successful change?

Key question

What causes organizational inertia during digital transformation, and how does it block successful change?

Understanding Inertia in Digital Transformation: A Literature Review and Multilevel Research Framework
Haskamp, Dremel, Marx, et al. · ICIS · 2021
What it means for you
  • CIO / IT Executive Audit your portfolio for socio-technical legacy IT misalignments by scheduling a joint review with department heads to identify legacy systems anchoring obsolete business routines.
  • IT Manager Map your team's current project workflows against the five inertia attributes to pinpoint where cognitive and behavioral rigidity is slowing down daily software deployment.
  • Business Strategist Review the 12 documented inertia antecedents against your current transformation roadmap to identify which cultural and structural barriers threaten your upcoming business model renewal.
  • Researcher Formulate a new empirical study focusing on the interactions between individual-level cognitive inertia and organizational-level structural inertia during enterprise cloud migrations.
  • Policymaker Draft guidelines for state-backed digital grants that require organizations to explicitly account for socio-technical and cultural inertia mitigation strategies before receiving funding.
Operations & Supply Chain
Illustration for: How do sending and receiving emails shape employee stress and productivity?

Key question

How do sending and receiving emails shape employee stress and productivity?

Email stress: Towards a new understanding of its causes and impacts
Stich · Systèmes d'Information et Management · 2025
What it means for you
  • CIO / IT Executive On Monday morning, initiate a discussion with your direct reports and heads of departments to explore piloting a specific email management training program for all employees, focusing on techniques that address both sender eustress and receiver distress, as outlined by the TMES model.
  • IT Manager On Monday morning, review the current email client settings and identify opportunities to implement or enhance features that automatically categorize or filter incoming emails based on sender or keywords, thereby reducing receiver distress for your team.
  • Business Strategist On Monday morning, draft a proposal for a new organizational communication norm that encourages concise and action-oriented email content from senders, aiming to maximize sender eustress by clearly delegating tasks and minimizing receiver distress caused by ambiguity.
  • Researcher On Monday morning, begin drafting a research proposal to empirically test the TMES model by designing a study that measures sender eustress and receiver distress across different organizational contexts and email usage patterns.
  • Policymaker On Monday morning, schedule a meeting with key stakeholders to discuss the development of an organizational policy that mandates specific email etiquette training, emphasizing balanced sender and receiver perspectives as informed by the TMES framework.
Cloud & Infrastructure
Illustration for: How do algorithms delegate work to groups of humans on digital platforms?

Key question

How do algorithms delegate work to groups of humans on digital platforms?

When Algorithms Delegate to Humans: Exploring Human-Algorithm Interaction at Uber
Stelmaszak, Möhlmann, Sørensen · MIS Quarterly · 2024
What it means for you
  • CIO / IT Executive On Monday morning, initiate a review of our current platform architecture to identify all instances of multi-agent algorithmic systems and assess their delegation models, specifically looking for 'distributed delegation' patterns to ensure human input is integrated effectively.
  • IT Manager On Monday morning, schedule a technical deep-dive with your team focused on one specific algorithmic system that delegates to humans; analyze its current delegation logic and identify specific points where human trace data, choice data, or direct intervention are critical inputs, and document these dependencies.
  • Business Strategist On Monday morning, begin a strategic assessment of our core business processes that rely on algorithmic delegation; map out the human touchpoints and decision points that are currently integrated, or could be integrated, within a 'distributed delegation' framework to enhance system resilience and adaptability.
  • Researcher On Monday morning, draft a research proposal outlining a study to quantitatively measure the impact of 'distributed delegation' on system performance and user satisfaction in our specific domain, focusing on how varying levels of human input influence outcomes.
  • Policymaker On Monday morning, convene a working group to examine existing regulations and internal policies related to algorithmic decision-making and human oversight; identify any gaps that need addressing to better accommodate 'distributed delegation' scenarios, ensuring clarity on accountability and human agency.
Human-Computer Interaction
Illustration for: How do explanations with AI feedback affect people's learning and task performance based on their prior knowledge?

Key question

How do explanations with AI feedback affect people's learning and task performance based on their prior knowledge?

Tell me more, tell me more: the impact of explanations on learning from feedback provided by Artificial Intelligence
Förster, Broder, Fahr, et al. · European Journal of Information Systems · 2025
What it means for you
  • CIO / IT Executive On Monday morning, initiate a cross-functional working group involving IT, product development, and user experience teams to prioritize the integration of AI-driven feedback systems that include clear, context-specific explanations, focusing initially on applications with less experienced user bases.
  • IT Manager On Monday morning, review the current AI feedback mechanisms within your team's systems and identify 1-2 pilot opportunities to implement or enhance explanations, specifically targeting areas where user error or confusion is frequently observed, and gather baseline performance data.
  • Business Strategist On Monday morning, task your team with identifying key business processes or customer-facing interactions where AI feedback is being used or considered, and assess the potential impact of explanation-enhanced AI on user adoption, efficiency, and overall customer satisfaction, particularly for novice users.
  • Researcher On Monday morning, design a pilot study protocol to specifically investigate how the *type* and *level of detail* of explanations provided by AI feedback influence perceived informativeness and learning outcomes for users with varying levels of domain expertise in a controlled environment.
  • Policymaker On Monday morning, begin drafting guidelines or a framework for the ethical deployment of AI systems that mandate, where feasible, the inclusion of explanations for AI-generated feedback, prioritizing sectors with high user impact and potential for knowledge gaps, such as education and public services.
AI & Automation
Illustration for: How do on-screen interruptions affect task performance on mobile devices compared to desktop computers?

Key question

How do on-screen interruptions affect task performance on mobile devices compared to desktop computers?

Mobile use in an age of interruption: Implications of capacity and structural interference for mobile users
Fink, Baranes, Ilany-Tzur · Information & Management · 2025
What it means for you
  • CIO / IT Executive On Monday morning, initiate a review of the current mobile application development roadmap, prioritizing projects that involve complex workflows to identify opportunities for modularization into smaller, independent subtasks in the next development cycle.
  • IT Manager On Monday morning, schedule a brief meeting with your mobile development team to discuss the research findings on higher resumption costs for mobile users and explore practical strategies for simplifying user interfaces and reducing cognitive load on mobile applications they manage.
  • Business Strategist On Monday morning, analyze customer feedback and usage data for core mobile applications to identify specific complex workflows that are likely causing high resumption costs and explore opportunities to redesign these for improved user efficiency.
  • Researcher On Monday morning, begin drafting a follow-up experiment proposal that specifically quantifies the impact of pre-defined 'modularized subtask' interfaces on mobile resumption costs compared to current complex workflows, using the findings from this study as a baseline.
  • Policymaker On Monday morning, draft a memo to relevant committees and agencies proposing the inclusion of 'mobile interface design standards' that encourage modularization of complex tasks to improve digital accessibility and productivity for mobile users.
Digital Platforms
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
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.
AI & Automation
Illustration for: How can universities better organize themselves to adapt and deliver effective online learning?

Key question

How can universities better organize themselves to adapt and deliver effective online learning?

Improving Self-Organization Capability in e-Learning using Soft System Methodology: A Case from Indonesia
Hapsari, Sensuse, Santoso, et al. · ICIS · 2024
What it means for you
  • CIO / IT Executive On Monday morning, initiate a review of existing IT infrastructure and systems specifically identifying which ones are currently siloed and propose an initial phased approach (e.g., Phase 1: Integration of student information system with the learning management system) for breaking down these silos, with a preliminary timeline and resource estimate.
  • IT Manager On Monday morning, schedule a 30-minute check-in with a representative from the academic affairs department to discuss how existing IT systems can better support collaborative feedback mechanisms for course design, identifying one specific tool or feature that could be enhanced or implemented in the next sprint.
  • Business Strategist On Monday morning, draft a one-page outline for a multi-year e-learning strategy document, focusing on how to integrate the identified four core dimensions (strategic planning, personnel development, learning resource management, IT capability) into measurable objectives for the next academic year, and identify one key stakeholder group for initial feedback.
  • Researcher On Monday morning, begin compiling a list of existing open-dialogue platforms or communication channels within the university and identify two specific instances where they could be leveraged to facilitate cross-faculty discussions on e-learning best practices or challenges.
  • Policymaker On Monday morning, draft a memo to the academic senate proposing a pilot program for a collaborative feedback mechanism for course design, outlining the key benefits, the intended process, and requesting their endorsement to explore its feasibility further.
Data & Analytics
Illustration for: What drives digital gullibility, and how can systems be designed to help users critically evaluate online information?

Key question

What drives digital gullibility, and how can systems be designed to help users critically evaluate online information?

A Research Agenda to Understand Drivers of Digital Gullibility
Hall, Haas · ICIS · 2022
What it means for you
  • CIO / IT Executive On Monday morning, initiate a cross-departmental working group with representatives from Security, User Experience, and Training to review the research agenda's propositions, specifically focusing on how to integrate 'epistemic vigilance' enhancement into the next IT security awareness training module, prioritizing the 'information context' gap.
  • IT Manager On Monday morning, schedule a 30-minute review session with your team to discuss the concept of 'context collapse' as presented in the research and brainstorm one specific system design tweak (e.g., adding a 'source credibility' indicator to internal dashboards) that could reduce information verification costs for your users, to be piloted within the week.
  • Business Strategist On Monday morning, draft a one-page executive summary for your leadership team that translates the research's core finding on 'digital gullibility as an antecedent to maladaptive online behaviors' into a business risk, proposing a brief for exploring how to quantify the cost of digital gullibility within your organization's operations.
  • Researcher On Monday morning, begin a literature review focused on the 'individual seeking behavior' gap outlined in the research, specifically searching for empirical studies that measure user-reported 'epistemic vigilance' in different online environments to refine your next research question.
  • Policymaker On Monday morning, draft an inquiry to relevant government agencies or industry bodies requesting current data on the prevalence and economic impact of 'digital scams' and 'phishing' within your jurisdiction, framing the request around understanding 'digital gullibility' as a root cause.
Digital Platforms
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