Browse the library

79 insights from AIS journals, conferences and related outlets. Most start with the question they answer.

Got a research question instead? Ask AIS Insights

Showing 18 of 34 insights

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 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: 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 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 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 can organizations design and use artificial intelligence to support circular economy practices?

Key question

How can organizations design and use artificial intelligence to support circular economy practices?

The AI-Enabled Circular Economy: Extracting and Synthesizing Design Knowledge
Eckert, Hoppe-Ludwig, Strohmann, et al. · ECIS · 2026

Information Systems & Management

What it means for you
  • CIO / IT Executive Schedule a 9:00 AM workshop with your Enterprise Architecture and Sustainability teams to map your organization's existing data infrastructure against the study's two-layered framework, explicitly linking your micro-level AI model choices with macro-level organizational capabilities to support circular workflows.
  • IT Manager Initiate a pilot project on your team's backlog to deploy a predictive maintenance model on a single class of high-wear manufacturing assets, using telemetry data to forecast asset degradation and automatically trigger life-extending maintenance tickets.
  • Business Strategist Conduct a value-chain audit to identify where materials are lost, and draft a business case for integrating computer vision and robotic sorting systems at your primary waste-handling facility to automate material classification and close resource loops.
  • Researcher Draft a research proposal for a 12-month longitudinal field study in partnership with a local electronics manufacturer to empirically validate the paper's four synthesized meta-principles in a real-world operational environment, addressing the literature's lack of longitudinal testing.
  • Policymaker Draft a policy memo proposing a targeted grant program that provides R&D tax credits to industrial recycling facilities that implement integrated computer vision and automated sorting systems to improve regional material recycling rates.
Illustration for: How can businesses use artificial intelligence to transition their business models toward sustainability?

Key question

How can businesses use artificial intelligence to transition their business models toward sustainability?

From Brown to Green: How AI-Driven Transformation Enables Business Model Reconfiguration in the Twin Transition
Mosconi, Boudreau · ECIS · 2026

Information Systems & Management

What it means for you
  • CIO / IT Executive Initiate an audit of legacy data pipelines to identify bottlenecks for AI integration, and establish a 'green sandbox' environment with relaxed governance rules to allow developers to experiment with asset-durability algorithms while tracking model energy consumption.
  • IT Manager Hold a 30-minute team sync to map out existing data engineering skill gaps and assign one developer to clean and structure a single historical dataset of asset lifecycle performance to prepare it for future AI model training.
  • Business Strategist Draft a pilot proposal to transition one high-trust client from hourly billing to a recurring, outcome-based pricing model focused on extending their asset lifecycle, and schedule a meeting with operational managers to align on realistic, incremental milestones.
  • Researcher Design a survey instrument targeting business and IT leaders across multiple industries to quantitatively test whether the perceptual gap between executive (radical) and operational (incremental) views on AI-driven green transitions exists outside of the engineering sector.
  • Policymaker Draft a policy brief proposing a targeted grant program that subsidizes data-engineering upskilling and offsets energy-efficiency auditing costs for mid-sized firms adopting AI-enabled, sustainable business models.
Illustration for: How can teams evaluate whether an artificial intelligence project is ready to launch?

Key question

How can teams evaluate whether an artificial intelligence project is ready to launch?

Structuring Readiness for AI Innovation: The Role of the Design Challenge Brief as a Coordination and Gatekeeping Artefact
Hehn, Röckel, van Giffen · ECIS · 2026

Cloud & Infrastructure

What it means for you
  • CIO / IT Executive Draft and mandate a standard 'Design Challenge Brief' template that all AI project champions must complete and get approved before receiving formal project launch funding.
  • IT Manager Gather your AI project team for a 1-hour workshop to map your current pre-project planning stage to the three phases of divergent exploration, negotiation/translation, and convergent alignment, explicitly documenting how you will handle fluid data availability.
  • Business Strategist Audit your pipeline of proposed AI initiatives and flag any project that has not yet completed a collaborative 'Design Challenge Brief' to prevent launching projects with high uncertainty around non-deterministic outcomes.
  • Researcher Draft a research proposal and survey instrument to test the generalizability of the three-phase AI readiness model across a quantitative sample of 100+ corporate AI projects outside of academic lab settings.
  • Policymaker Integrate a 'Design Challenge Brief' gatekeeping requirement into your public sector AI procurement and funding frameworks to ensure public agencies evaluate data readiness and outcome uncertainties before awarding AI contracts.
Illustration for: How do IT and sustainability departments interact to shape corporate digital sustainability initiatives?

Key question

How do IT and sustainability departments interact to shape corporate digital sustainability initiatives?

Actor-Networks in Corporate Digital Sustainability Initiatives
Stanlein, Püchel, Juntunen, et al. · ECIS · 2026

Sustainability & Green IS

What it means for you
  • CIO / IT Executive Schedule a 30-minute meeting with the Head of Sustainability to co-design and integrate a 'sustainability impact score' directly into the IT department's project prioritization framework, ensuring green metrics are evaluated alongside traditional cost and efficiency KPIs.
  • IT Manager Review your team's current project backlog and formally assign a senior systems engineer as the dedicated 'Green IT Liaison' to attend the sustainability working group's bi-weekly meetings, ensuring technical resource constraints are communicated early.
  • Business Strategist Draft a charter for a joint IT-Sustainability Steering Committee that outlines a shared governance model, specifically defining a conflict-resolution protocol for when short-term IT cost-cutting clashes with long-term carbon reduction targets.
  • Researcher Draft a research proposal for a multi-case study targeting non-financial sectors (such as manufacturing or retail) that intentionally oversamples sustainability managers to address the IT-biased, single-case limitation of the existing literature.
  • Policymaker Initiate a draft for a voluntary corporate digital sustainability reporting template that requires firms to disclose how their IT infrastructure procurement policies align with national green transition targets.
Illustration for: How does delisting a privacy coin from a major exchange impact its price over time?

Key question

How does delisting a privacy coin from a major exchange impact its price over time?

Are the Regulators Winning the Fight with Anonymity-Enhancing Coins? Studying Binance’s European Delisting of Monero as a Natural Experiment
Renwick, Gleasure · ECIS · 2026

Operations & Supply Chain

What it means for you
  • CIO / IT Executive Audit our organization's digital asset holdings and treasury to identify any exposure to privacy coins like Monero, and immediately initiate a migration plan to convert these assets to compliant, liquid cryptocurrencies to avoid permanent valuation loss from regulatory delistings.
  • IT Manager Update network monitoring tools and firewall rules to detect and block any Monero nodes, mining scripts, or wallet connections on company-owned infrastructure to prevent compliance violations arising from tightening centralized exchange regulations.
  • Business Strategist Review our payment gateway integrations and product roadmap to remove Monero or other privacy coins as accepted payment methods, and pivot our privacy-focused initiatives toward compliant layer-2 scaling solutions (like Zero-Knowledge rollups) that satisfy regulators.
  • Researcher Draft a new research proposal to apply the synthetic control method to other privacy-centric assets (like Zcash or Dash) across different geographic regions, incorporating decentralized exchange (DEX) trading volumes to test if the value shifted off centralized order books.
  • Policymaker Draft an amendment to the national crypto-asset regulatory framework to mandate that all registered centralized exchanges delist anonymity-enhancing coins, citing this empirical evidence that exchange-level bans are highly effective at permanently reducing these assets' market value and liquidity.
Illustration for: What are the key factors needed to successfully scale automation across an organization?

Key question

What are the key factors needed to successfully scale automation across an organization?

Time to Turn Off the Lights: A Success Factor Framework for Advancing Hyperautomation in Organizations
Straub, Zeiß, Ibrahimli, et al. · ECIS · 2026

Operations & Supply Chain

What it means for you
  • CIO / IT Executive On Monday morning, schedule a 30-minute alignment meeting with business unit heads to establish a joint 'Hyperautomation Governance Board' to audit all active shadow-IT automation tools (like RPA and low-code apps) and map them against your long-term IT integration roadmap to prevent fragmented technical debt.
  • IT Manager On Monday morning, block out two hours to audit your current automation deployment backlog and draft a standardized 'API-First Integration Checklist' that your development team must use to ensure new automations do not bypass APIs and create system incompatibilities.
  • Business Strategist On Monday morning, select one high-volume customer-facing workflow and schedule a scoping call with a key strategic partner to co-design an integrated, automated data-sharing process, directly applying the 'Customer Integration' (SF13) and 'Strategic Partner Collaboration' (SF15) success factors.
  • Researcher On Monday morning, draft a research proposal and outreach email to target three non-German, US-based enterprises to secure pilot sites for a comparative case study that measures objective operational KPIs (such as transaction error rates and processing speed) to validate the subjective findings of the 15-factor framework.
  • Policymaker On Monday morning, draft an amendment to your organization's IT Procurement Policy mandating that any new business unit purchasing low-code or RPA tools must submit a 'Systemic Compatibility and Trust Impact Assessment' addressing how the tool aligns with the enterprise IT architecture and employee trust-building guidelines.
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

Cloud & Infrastructure

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.
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

Cloud & Infrastructure

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.