IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v202y2024ics0040162524001070.html
   My bibliography  Save this article

Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

Author

Listed:
  • Issa, Helmi
  • Jaber, Jad
  • Lakkis, Hussein

Abstract

The adoption of AI-powered systems in healthcare has revolutionized the field by introducing autonomous diagnostics and predictions, though it remains a source of debate due to its disruptive nature. This research utilizes the holistic model of stress to empirically examine the effects of six techno-stressors on both techno-eustress and techno-distress among users in the healthcare sector. Data for this research was collected from 224 participants through an e-survey distributed across diverse sources. The findings reveal intriguing insights, highlighting the emergence of techno-unpredictability as a potential new techno-stressor within the context of AI-powered systems in healthcare. With this newfound understanding, healthcare specialists and organizations can stay one step ahead, better equipped to address and navigate the complexities of emerging stressors for enhanced well-being, patient care and safety.

Suggested Citation

  • Issa, Helmi & Jaber, Jad & Lakkis, Hussein, 2024. "Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:tefoso:v:202:y:2024:i:c:s0040162524001070
    DOI: 10.1016/j.techfore.2024.123311
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524001070
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2024.123311?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Forza, Cipriano & Filippini, Roberto, 1998. "TQM impact on quality conformance and customer satisfaction: A causal model," International Journal of Production Economics, Elsevier, vol. 55(1), pages 1-20, June.
    2. Helmi Issa & Roy Dakroub & Hussein Lakkis & Jad Jaber, 2022. "Techno-Eustress and Techno-Distress: A Metaverse Investigation," Information Resources Management Journal (IRMJ), IGI Global, vol. 35(1), pages 1-21, January.
    3. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    4. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    5. Nityesh Bhatt & Tanvi Paras Kothari, 2022. "Determinants of Technostress: A Systematic Literature Review," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 8(2), pages 159-171.
    6. Ziebland, Sue & Hyde, Emma & Powell, John, 2021. "Power, paradox and pessimism: On the unintended consequences of digital health technologies in primary care," Social Science & Medicine, Elsevier, vol. 289(C).
    7. Jenny Doorn & Peter Verhoef & Tammo Bijmolt, 2007. "The importance of non-linear relationships between attitude and behaviour in policy research," Journal of Consumer Policy, Springer, vol. 30(2), pages 75-90, June.
    8. Cram, W. Alec & Wiener, Martin & Tarafdar, Monideepa & Benlian, Alexander, 2022. "Examining the Impact of Algorithmic Control on Uber Drivers’ Technostress," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130811, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Nascimento, Lígia & Correia, Manuela Faia & Califf, Christopher B., 2024. "Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress," Technology in Society, Elsevier, vol. 76(C).
    10. repec:hal:gemptp:hal-01249895 is not listed on IDEAS
    11. Kati Tikkamäki & Päivi Heikkilä & Mari Ainasoja, 2016. "Positive Stress and Reflective Practice Among Entrepreneurs," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 12(1), pages 35-55.
    12. Rubén Rodríguez Elizalde, 2021. "Techno-Stress: Damage Caused by New Emerging Risks," Laws, MDPI, vol. 10(3), pages 1-17, August.
    13. Marc Gruber & Florian Heinemann & Malte Brettel & Stephan Hungeling, 2010. "Configurations of resources and capabilities and their performance implications: an exploratory study on technology ventures," Strategic Management Journal, Wiley Blackwell, vol. 31(12), pages 1337-1356, December.
    14. Huang, Xiaozhi & Wu, Xitong & Cao, Xin & Wu, Jifei, 2023. "The effect of medical artificial intelligence innovation locus on consumer adoption of new products," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    15. Camacho, Oscar & Garfinkel, Michelle & Syropoulos, Constantinos & Yotov, Yoto, 2022. "Output Insecurity and Ownership Disputes as Barriers to Technology Diffusion," School of Economics Working Paper Series 2022-10, LeBow College of Business, Drexel University.
    16. Nidhi Singh & Monika Jain & Muhammad Mustafa Kamal & Rahul Bodhi & Bhumika Gupta, 2024. "Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory," Post-Print hal-04300238, HAL.
    17. Giorgia Bondanini & Gabriele Giorgi & Antonio Ariza-Montes & Alejandro Vega-Muñoz & Paola Andreucci-Annunziata, 2020. "Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis," IJERPH, MDPI, vol. 17(21), pages 1-23, October.
    18. Singh, Nidhi & Jain, Monika & Kamal, Muhammad Mustafa & Bodhi, Rahul & Gupta, Bhumika, 2024. "Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    19. Shirish C. Srivastava & Shalini Chandra & Anuragini Shirish, 2015. "Technostress creators and job outcomes : theorising the moderating influence of personality traits," Post-Print hal-01249895, HAL.
    20. Anuragini Shirish & Nina Verstraete & Olfa Chourabi, 2023. "The impact of ICT characteristics on students’ learning outcomes during COVID-19 lockdown period: the crucial role of techno eustress perception," Post-Print hal-03752991, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nascimento, Lígia & Correia, Manuela Faia & Califf, Christopher B., 2024. "Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress," Technology in Society, Elsevier, vol. 76(C).
    2. Prem Borle & Kathrin Reichel & Fiona Niebuhr & Susanne Voelter-Mahlknecht, 2021. "How Are Techno-Stressors Associated with Mental Health and Work Outcomes? A Systematic Review of Occupational Exposure to Information and Communication Technologies within the Technostress Model," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    3. Issa Helmi & Lakkis Hussein & Dakroub Roy & Jaber Jad, 2023. "Examining User Engagement and Experience in Agritech," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 17-32, June.
    4. Reetta Oksa & Tiina Saari & Markus Kaakinen & Atte Oksanen, 2021. "The Motivations for and Well-Being Implications of Social Media Use at Work among Millennials and Members of Former Generations," IJERPH, MDPI, vol. 18(2), pages 1-22, January.
    5. Khedhaouria, Anis & Montani, Francesco & Jamal, Arshad & Hussain Shah, Mahmood, 2024. "Consequences of technostress for users in remote (home) work contexts during a time of crisis: The buffering role of emotional social support," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    6. Elisabeth Rohwer & Joelle-Cathrin Flöther & Volker Harth & Stefanie Mache, 2022. "Overcoming the “Dark Side” of Technology—A Scoping Review on Preventing and Coping with Work-Related Technostress," IJERPH, MDPI, vol. 19(6), pages 1-30, March.
    7. Prem Borle & Kathrin Reichel & Susanne Voelter-Mahlknecht, 2021. "Is There a Sampling Bias in Research on Work-Related Technostress? A Systematic Review of Occupational Exposure to Technostress and the Role of Socioeconomic Position," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    8. Óscar. R. González-López & María Buenadicha-Mateos & M. Isabel Sánchez-Hernández, 2021. "Overwhelmed by Technostress? Sensitive Archetypes and Effects in Times of Forced Digitalization," IJERPH, MDPI, vol. 18(8), pages 1-20, April.
    9. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    10. Chiara Consiglio & Nicoletta Massa & Valentina Sommovigo & Luigi Fusco, 2023. "Techno-Stress Creators, Burnout and Psychological Health among Remote Workers during the Pandemic: The Moderating Role of E-Work Self-Efficacy," IJERPH, MDPI, vol. 20(22), pages 1-23, November.
    11. Cao, Xiongfei & Yu, Lingling, 2019. "Exploring the influence of excessive social media use at work: A three-dimension usage perspective," International Journal of Information Management, Elsevier, vol. 46(C), pages 83-92.
    12. Singh, Pallavi & Bala, Hillol & Dey, Bidit Lal & Filieri, Raffaele, 2022. "Enforced remote working: The impact of digital platform-induced stress and remote working experience on technology exhaustion and subjective wellbeing," Journal of Business Research, Elsevier, vol. 151(C), pages 269-286.
    13. Ertiö, Titiana & Eriksson, Taina & Rowan, Wendy & McCarthy, Stephen, 2024. "The role of digital leaders’ emotional intelligence in mitigating employee technostress," Business Horizons, Elsevier, vol. 67(4), pages 399-409.
    14. María del Carmen Rey-Merchán & Antonio López-Arquillos, 2022. "Occupational Risk of Technostress Related to the Use of ICT among Teachers in Spain," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    15. Min Feng & Driss Bourazzouq, 2021. "Effects of Technostress in the Role Stress Context on Proximity Managers' Performance," Post-Print hal-03233176, HAL.
    16. Valentina Sommovigo & Chiara Bernuzzi & Georgia Libera Finstad & Ilaria Setti & Paola Gabanelli & Gabriele Giorgi & Elena Fiabane, 2023. "How and When May Technostress Impact Workers’ Psycho-Physical Health and Work-Family Interface? A Study during the COVID-19 Pandemic in Italy," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    17. Torres, Carla Cecilia, 2021. "Adaptation and Validation of Technostress Creators and Technostress Inhibitors Inventories in a Spanish-Speaking Latin American Country," Technology in Society, Elsevier, vol. 66(C).
    18. Christoph Weinert & Christian Maier & Sven Laumer & Tim Weitzel, 2020. "Technostress mitigation: an experimental study of social support during a computer freeze," Journal of Business Economics, Springer, vol. 90(8), pages 1199-1249, September.
    19. Christ-Brendemühl, Sonja & Schaarschmidt, Mario, 2020. "The impact of service employees’ technostress on customer satisfaction and delight: A dyadic analysis," Journal of Business Research, Elsevier, vol. 117(C), pages 378-388.
    20. Giovanni Schettino & Leda Marino & Vincenza Capone, 2022. "The Impact of University-Related Variables on Students’ Perceived Employability and Mental Well-Being: An Italian Longitudinal Study," Sustainability, MDPI, vol. 14(5), pages 1-15, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:202:y:2024:i:c:s0040162524001070. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.