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Open research questions in Technostress in Professional Settings

270 gap statements mined from Technostress in Professional Settings papers in our 7.9M-paper local library, which holds 1,091 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The study identifies a gap in the literature regarding the relationship between perceived AI acceptance and occupational well-being among university physical education teachers. Prior studies have documented positive associations between favorable technology appraisals and occupational adjustment among teachers, but the underlying mechanisms are not well understood.

    Perceived AI acceptance and occupational well-being among university physical education teachers: a cross-sectional serial mediation model of digital well-being and innovative work behavior · 2026 · DOI

  • Digital fatigue is a growing concern among nurses due to sustained digital engagement. The pressure to constantly check and respond to work messages can lead to burnout. The lack of clear expectations for responding to work messages and protected recovery time can exacerbate digital fatigue and burnout.

    Digital fatigue and job burnout among nurses: serial indirect associations through fear of missing out and perceived stress · 2026 · DOI

  • The study notes that technostress can negatively impact users' well-being and potentially contribute to mental health issues. The research highlights the need to prioritize goals in the face of technostress-related hindrances.

    Coping with technostress-related goal hindrances: multidimensional and hierarchical nature of goals · 2025 · DOI

  • Research is lagging on the mitigation of technostress, especially in personal use contexts. There is a need to identify solutions for managing the negative consequences of technostress on users' well-being and productivity.

    Coping with technostress-related goal hindrances: multidimensional and hierarchical nature of goals · 2025 · DOI

  • The impostor phenomenon may play a critical mediating role between anxiety and workplace deviant behavior; however, longitudinal evidence remains limited.

    Artificial Intelligence Anxiety, Impostor Phenomenon, and Workplace Deviant Behavior Among Nurses: A Three Wave Longitudinal Study · 2026 · DOI

  • Yet, the psychological demands of engaging with educational content in such environments remain underexplored.

    Understanding higher education learners’ technostress in the metaverse · 2026 · DOI

  • Fourth, to study the complex and dynamic mechanisms shaping the collaboration between humans and emerging technologies, a multilevel perspective is warranted.

    How emerging technologies shape the future of work · 2024 · DOI

  • There is a lack of research on the mental health implications of GenAI in medical education. The study highlights the need for further research on the effects of GenAI on mental health in academic environments.

    Technostress in the Era of Generative Artificial Intelligence: Mental Health Implications in Medical Education · 2026 · DOI

  • Research examining the psychological and pedagogical factors influencing AI use in educational contexts remains limited. Existing studies have largely focused on the development of technical systems, highlighting the need for research on teachers' psychological readiness and techno-pedagogical competencies.

    The current landscape of teachers artificial intelligence acceptance: Relationships with TPACK and technostress · 2026 · DOI

  • The lack of research on the relationship between Gen AI use and employees' psychological distress. The need for practical recommendations for managers and employees on how to interact effectively with Gen AI tools.

    The impact of generative AI use on employees’ psychological distress: a moderated mediation model · 2026 · DOI

  • The widespread adoption of Gen AI in the workplace has introduced substantial psychological challenges for employees, but there is a lack of research on the relationship between Gen AI use and employees' psychological distress. Prior work has focused on the advantages of Gen AI, but has neglected the potential negative effects on employees' well-being.

    The impact of generative AI use on employees’ psychological distress: a moderated mediation model · 2026 · DOI

  • The research highlights the need to investigate the relationship between TSR, resistance to technological change, and employees' attitudes towards AI integration.

    Addressing AI-related fears: the impact of technological social responsibility on employees’ attitudes towards AI integration at work · 2026 · DOI

  • There is a lack of population-level evidence on the relationship between digital work practices and burnout among university faculty. The study aims to address this gap by investigating the relationships between digital engagement and burnout among university faculty in India.

    Sleep and workload mediate the relationship between digital engagement and burnout: a national cross-sectional study of university faculty in India · 2026 · DOI

  • The study limitations that should be considered while interpreting the findings; the cross-sectional design of this study did not allow causality relationship among variables, and the mediation findings should be interpreted with caution, the relationships are potential pathways rather than definitive causal mechanism.

    Sleep and workload mediate the relationship between digital engagement and burnout: a national cross-sectional study of university faculty in India · 2026 · DOI

  • This differentiation not only enriches theoretical discussions on employee happiness but also reveals new paths for the integration of ethics and technology in inclusive management practices, particularly in emerging economies where these dynamics remain underexplored.

    Business ethics, technology use, and workplace happiness: Gender-based differences · 2026 · DOI

  • Existing research remains scarce on how digital human resource management (HRM) influences employees' cognitive experiences through dual-path mechanisms (facilitating effects and inhibiting effects) and ultimately shapes differentiated innovative performance.

    Gain or loss? The double-edged sword effect of digital human resource management on employee innovative performance · 2026 · DOI

  • It examines the internal regulatory mechanism through which ICT demands impact managers' well-being, job performance and presenteeism in hybrid work environments, focussing on the mediating role of digital well-being as a previously underexplored regulatory pathway.

    Managers in the context of hybrid work: the impact of ICT demands on outcomes · 2026 · DOI

  • This research identifies the lack of evidence regarding stress-safety relationship from a developing nation as a major research gap that needs attention. Secondly, it expands the scope of aviation literature to examine understudied ground handling workers and the stress that affects them.

    Stress and Safety in Digital Aviation: Ground Employee Experience, Technology Driven Work Environment · 2026 · DOI

  • There is a lack of easily accessible support for people less familiar with technology. There is a need to understand the impact of COVID-19 on seniors' usage and adoption of emerging technologies.

    ‘Technostress’: why many older people feel shut out by the digital world · 2026 · DOI

  • While the hospitality sector provides a particularly relevant setting due to its dynamic service demands and intensive human–technology interaction, future research could examine whether the proposed relationships hold in other industries, such as healthcare, retail, or logistics, where AI adoption manifests differently.

    Working Smarter with AI in Hotel Industry: How Awareness Fuels Eustress, Task Crafting, and Adaptation · 2026 · DOI

  • Longitudinal nursing research to examine the relationships between digital fatigue, perceived stress, and burnout over time.

    Digital fatigue and job burnout among nurses: serial indirect associations through fear of missing out and perceived stress · 2026 · DOI

  • The relationship between sustainable professional learning ecosystems (collaborative communities, reverse mentoring) and both technopedagogical readiness and technostress reduction in AI adoption contexts has not been empirically validated through longitudinal or experimental designs.

    The current landscape of teachers artificial intelligence acceptance: Relationships with TPACK and technostress · 2026 · DOI

  • Organizations are increasingly adopting Smart Technology, Artificial Intelligence, Robotics and Automation, and Algorithms (STARA; Brougham & Haar, 2018), yet employee responses to these advanced technologies vary widely.

    Too Close for Comfort? Effects of Proximity to Robotics and Automation on Tech-Induced Job Insecurity and Perceived Organizational Support · 2026 · DOI

  • The results prompt further research on longitudinal trends and discussions on geography, industry, and country specific impact of digitalization on the modern workforce.

    Technostress Among Older Workers: A Central European Perspective · 2025 · DOI

  • The study identifies a gap in the existing literature on the impact of job insecurity on employee burnout in the context of technological transformation.

    From Job Insecurity to Burnout in the Age of Artificial Intelligence: The Mediating Role of Work Engagement and the Moderating Role of Artificial Intelligence Self-Efficacy · 2026 · DOI

Most-cited papers in Technostress in Professional Settings

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Open questions raised by papers listed on this page include: (1) Prior studies have documented positive associations between favorable technology appraisals and occupational adjustment among teachers, but the underlying mechanisms are not well understood (“Perceived AI acceptance and occupational well-being among university physical…”, 2026); (2) The lack of clear expectations for responding to work messages and protected recovery time can exacerbate digital fatigue and burnout (“Digital fatigue and job burnout among nurses: serial indirect associations…”, 2026); (3) The impostor phenomenon may play a critical mediating role between anxiety and workplace deviant behavior; however, longitudinal evidence remains limited (“Artificial Intelligence Anxiety, Impostor Phenomenon, and Workplace Deviant…”, 2026); (4) The psychological demands of engaging with educational content in such environments remain underexplored (“Understanding higher education learners’ technostress in the metaverse”, 2026); (5) There is a lack of research on the mental health implications of GenAI in medical education (“Technostress in the Era of Generative Artificial Intelligence: Mental Health…”, 2026). 270 gap statements have been mined from Technostress in Professional Settings papers in our 7.9M-paper local library, which holds 1,091 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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