From the Association for Information Systems

Questions that matter.
Answers that hold.

Rigorous Information Systems research, turned into key questions, findings and actions for your role. Read, listen or ask, in 11 languages.

Popular:

Have a research question? Try Ask AIS Insights

Illustration for: Welcome to AIS Insights

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.
Read the insight

What it means for you:

Browse the library

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 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: How do communities use social media to support mental health recovery during natural disasters?

Key question

How do communities use social media to support mental health recovery during natural disasters?

Digital Mental Health Resilience During Natural Disasters: A Scoping Review and Research Agenda
Islam, Marx, Liu, et al. · ACIS · 2025
What it means for you
  • CIO / IT Executive On Monday morning, schedule a brief exploratory meeting with your innovation team to assess existing social media monitoring tools and identify potential enhancements for detecting and analyzing distress signals and misinformation during simulated disaster scenarios.
  • IT Manager On Monday morning, review the current moderation policies for any public-facing community forums or social media channels managed by your organization, and identify specific criteria related to 'vulnerability-sensitive content' that could be integrated into moderation guidelines.
  • Business Strategist On Monday morning, initiate a conversation with your communications and marketing teams to explore how your organization's social media presence could be adapted to proactively offer mental health resources or foster supportive community interactions, especially in light of potential regional disaster risks.
  • Researcher On Monday morning, begin drafting a concise summary of the 'vulnerability-sensitive channels' and 'cross-sector coordination' findings from this review, identifying specific examples or hypothetical scenarios where these could be applied to digital mental health resilience research.
  • Policymaker On Monday morning, draft a short memo to your relevant department heads, flagging the research finding on 'communities actively curate content and self-regulate online spaces' and suggesting a brief discussion on how public digital platforms could be better designed or supported to facilitate this self-regulation for mental health resilience during crises.
Cloud & Infrastructure
Illustration for: How do public discussions on social media shift across different stages of a prolonged health crisis?

Key question

How do public discussions on social media shift across different stages of a prolonged health crisis?

A Multi-Method Analysis of the Evolution of Social Media Discourse in Prolonged Crises: through the Lens of Crisis and Emergency Risk Communication (CERC)
Jiang, Gupta, Li · AIS SIGDSA Symposium · 2025
What it means for you
  • CIO / IT Executive On Monday morning, direct your data science team to explore leveraging sentiment analysis and topic modeling tools to categorize incoming social media data related to ongoing public health issues, enabling proactive identification of shifting public concerns.
  • IT Manager On Monday morning, schedule a brief meeting with your social media monitoring team to review the existing dashboards and identify if they can be reconfigured to visually highlight shifts in discussion topics and the interconnectedness of conversations, aligning with the research's emphasis on phase-tailored messaging.
  • Business Strategist On Monday morning, initiate a brainstorming session with your communications and marketing teams to consider how your organization's messaging can adapt to different phases of a prolonged public health crisis, drawing parallels from the COVID-19 discourse shifts identified in the research.
  • Researcher On Monday morning, begin outlining a research proposal that analyzes social media discourse in another prolonged crisis (e.g., climate change, economic instability) using a similar multi-method approach to the one described, focusing on mapping public concerns onto relevant communication frameworks.
  • Policymaker On Monday morning, task your policy analysis unit with reviewing existing crisis communication guidelines and recommend updates to incorporate phase-specific strategies informed by the research on evolving social media discourse, particularly concerning anxiety mitigation and misinformation countering.
Data & Analytics
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
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.
Operations & Supply Chain
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
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.
Cybersecurity & Privacy
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
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.
Data & Analytics
Illustration for: How does adopting smart speakers change how consumers search for, buy, and consume digital content?

Key question

How does adopting smart speakers change how consumers search for, buy, and consume digital content?

The Voice of Commerce: How Smart Speakers Reshape Digital Content Consumption and Preferences
Son, Oh, Im · MIS Quarterly · 2023
What it means for you
  • CIO / IT Executive On Monday morning, task your team with investigating integration points between existing VOD platforms and major smart speaker voice assistant APIs (e.g., Alexa, Google Assistant) to enable seamless content discovery and playback via voice commands.
  • IT Manager On Monday morning, analyze the current VOD platform's data infrastructure to identify how to track and log voice-initiated search queries and content playback events, distinguishing them from traditional remote control interactions.
  • Business Strategist On Monday morning, initiate a brainstorm session to explore new content promotion strategies that leverage voice-activated search, considering how to make titles more discoverable through natural language queries and conversational recommendations.
  • Researcher On Monday morning, begin outlining a follow-up study to quantify the correlation between specific conversational voice interactions (beyond simple search) and increased VOD content consumption, perhaps through A/B testing of voice-guided discovery features.
  • Policymaker On Monday morning, convene a working group to assess the potential implications of increased voice-activated content consumption on digital accessibility standards and to explore how to ensure equitable access to content across all user interfaces.
Operations & Supply Chain
Load more insights

Showing 9 of 24

AI-processed.
Human-approved.

  • Linked to the source

    Every insight is an original synthesis and links to the full paper at its original publisher.

  • Approved by the authors

    Authors review each draft and tell us what to correct; we regenerate it, and it goes live once they approve it. Nothing goes live without their approval. Each approved insight is marked as approved.

  • Run under AIS oversight

    Papers are read and summarised by open-source models on University of Münster infrastructure. Google Gemini voices the episodes, draws the illustrations, writes the recommendations for each role from our summaries, applies authors' corrections to our summaries and powers Ask AIS Insights, which reads our summaries and, for some papers, their full text.

For researchers

Make your research heard.

Reach leaders, managers and policymakers beyond academia, and open new conversations between research and practice.

Add my paper

  1. Upload your paper

    Add the PDF and a link to the published version.

  2. Review the draft

    We prepare a plain-language summary and the episode script. Nothing goes live until you approve it.

  3. Go live

    Your insight appears in the library, linked to the original paper.