IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v161y2020ics0040162520311021.html

Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study

Author

Listed:
  • Brougham, David
  • Haar, Jarrod

Abstract

Experts have predicted that 57% of jobs within the OECD could be replaced by technology, due to advancements in automation, artificial intelligence, robotics, etc. Despite this, little is known about how employees view the future of work, and what influence this has on their job behaviors. Using a sample of 1516 employees (from the United States, Australia, and New Zealand) and structural equation modeling, we find that an employee's perceived threat of technological disruption had a significant effect on job insecurity and turnover intentions. Furthermore, we find strong support for a mediation effect from job insecurity. In addition, we included job mobility in our model and argued that those with greater job options might react more purposefully in response to job threats from radical technological changes. Overall, the perceived threat of technological disruption was found to differ across the three countries with Australia and New Zealand having similar modest levels, but with the United States sample reporting significantly higher levels. This paper provides a much-needed insight into how people view technology in relation to their own job security and willingness to stay in their current line of work.

Suggested Citation

  • Brougham, David & Haar, Jarrod, 2020. "Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:tefoso:v:161:y:2020:i:c:s0040162520311021
    DOI: 10.1016/j.techfore.2020.120276
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520311021
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2020.120276?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Wil M. P. Aalst & Martin Bichler & Armin Heinzl, 2018. "Robotic Process Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(4), pages 269-272, August.
    2. Michael C. Jensen, 2010. "The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(1), pages 43-58, January.
    3. Laurell, Christofer & Sandström, Christian, 2018. "Comparing coverage of disruptive change in social and traditional media: Evidence from the sharing economy," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 339-344.
    4. Kilkki, Kalevi & Mäntylä, Martti & Karhu, Kimmo & Hämmäinen, Heikki & Ailisto, Heikki, 2018. "A disruption framework," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 275-284.
    5. Franceschini, Simone & Borup, Mads & Rosales-Carreón, Jesús, 2018. "Future indoor light and associated energy consumption based on professionals' visions: A practice- and network-oriented analysis," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 1-11.
    6. Marjorie Armstrong-Stassen, 2001. "Reactions of Older Employees to Organizational Downsizing," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 56(4), pages 234-243.
    7. Rohrbeck, René & Kum, Menes Etingue, 2018. "Corporate foresight and its impact on firm performance: A longitudinal analysis," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 105-116.
    8. Itf, 2018. "Safer Roads with Automated Vehicles?," International Transport Forum Policy Papers 55, OECD Publishing.
    9. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    10. Alessio Cozzolino & Gianmario Verona & Frank T. Rothaermel, 2018. "Unpacking the Disruption Process: New Technology, Business Models, and Incumbent Adaptation," Journal of Management Studies, Wiley Blackwell, vol. 55(7), pages 1166-1202, November.
    11. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    12. Jarrod Haar & Annamaria Di Fabio & Urs Daellenbach, 2019. "Does Positive Relational Management Benefit Managers Higher Up the Hierarchy? A Moderated Mediation Study of New Zealand Managers," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    13. Clayton M. Christensen & Rory McDonald & Elizabeth J. Altman & Jonathan E. Palmer, 2018. "Disruptive Innovation: An Intellectual History and Directions for Future Research," Journal of Management Studies, Wiley Blackwell, vol. 55(7), pages 1043-1078, November.
    14. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    15. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
    16. Kriechbaum, Michael & López Prol, Javier & Posch, Alfred, 2018. "Looking back at the future: Dynamics of collective expectations about photovoltaic technology in Germany & Spain," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 76-87.
    17. Roy, Raja, 2018. "Role of relevant lead users of mainstream product in the emergence of disruptive innovation," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 314-322.
    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. Blume, Maximilian & Oberländer, Anna Maria & Röglinger, Maximilian & Rosemann, Michael & Wyrtki, Katrin, 2020. "Ex ante assessment of disruptive threats: Identifying relevant threats before one is disrupted," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    2. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    3. Langley, Paul & Rieple, Alison, 2021. "Incumbents’ capabilities to win in a digitised world: The case of the fashion industry," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Lingmont, Derek N.J. & Alexiou, Andreas, 2020. "The contingent effect of job automating technology awareness on perceived job insecurity: Exploring the moderating role of organizational culture," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Balwant Singh Mehta & Ishwar Awasthi & Nidhi Mehta, 2021. "Women’s Employment and Digital Technology: A Regional Analysis in India," Indian Journal of Human Development, , vol. 15(3), pages 427-442, December.
    6. Antonio, Jerome L. & Kanbach, Dominik K., 2023. "Contextual factors of disruptive innovation: A systematic review and framework," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    7. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    8. Molla, M. M., 2024. "Artificial Intelligence (AI) and Fear of Job Displacement in Banks in Bangladesh," International Journal of Science and Business, IJSAB International, vol. 42(1), pages 1-18.
    9. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    10. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    11. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Kristina Stoiber & Kurt Matzler & Julia Hautz, 2023. "Ambidextrous structures paving the way for disruptive business models: a conceptual framework," Review of Managerial Science, Springer, vol. 17(4), pages 1439-1485, May.
    13. Uzuegbunam, Ikenna & Geringer, J. Michael, 2021. "Culture, connectedness, and international adoption of disruptive innovation," Journal of International Management, Elsevier, vol. 27(1).
    14. Cozzolino, Alessio & Geiger, Susi, 2024. "Ecosystem disruption and regulatory positioning: Entry strategies of digital health startup orchestrators and complementors," Research Policy, Elsevier, vol. 53(2).
    15. Stehrer, Robert, 2024. "The impact of ICT and intangible capital accumulation on employment growth and labour income shares," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 211-220.
    16. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
    17. Oussama Chemlal & Wafaa Benomar, 2024. "The Technological Impact on Employment in Spain between 2023 and 2035," Forecasting, MDPI, vol. 6(2), pages 1-30, April.
    18. Rongyun Zhou & Qian Zhang, 2024. "The Impact of Industrial Robots on the Sustainable Development of Zombie Firms in China," Sustainability, MDPI, vol. 16(5), pages 1-16, March.
    19. Kerstin Hötte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2024. "Automation and taxation," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 945-969.
    20. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:161:y:2020:i:c:s0040162520311021. 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.