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Conceptualization and Validation of the Occupation Insecurity Scale (OCIS): Measuring Employees’ Occupation Insecurity Due to Automation

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  • Lara C. Roll

    (Research Group Work, Organisational & Personnel Psychology (WOPP–O2L), KU Leuven, 3000 Leuven, Belgium
    Optentia Research Unit, Vaal Triangle Campus, North-West University, Vanderbijlpark 1900, South Africa)

  • Hans De Witte

    (Research Group Work, Organisational & Personnel Psychology (WOPP–O2L), KU Leuven, 3000 Leuven, Belgium
    Optentia Research Unit, Vaal Triangle Campus, North-West University, Vanderbijlpark 1900, South Africa)

  • Hai-Jiang Wang

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Increased use and implementation of automation, accelerated by the COVID-19 pandemic, gives rise to a new phenomenon: occupation insecurity. In this paper, we conceptualize and define occupation insecurity, as well as develop an Occupation Insecurity Scale (OCIS) to measure it. From focus groups, subject-matter expert interviews, and a quantitative pilot study, two dimensions emerged: global occupation insecurity, which refers to employees’ fear that their occupations might disappear, and content occupation insecurity, which addresses employees’ concern that (the tasks of) their occupations might significantly change due to automation. In a survey-study sampling 1373 UK employees, psychometric properties of OCIS were examined in terms of reliability, construct validity, measurement invariance (across gender, age, and occupational position), convergent and divergent validity (with job and career insecurity), external discriminant validity (with organizational future time perspective), external validity (by comparing theoretically secure vs. insecure groups), and external and incremental validity (by examining burnout and work engagement as potential outcomes of occupation insecurity). Overall, OCIS shows good results in terms of reliability and validity. Therefore, OCIS offers an avenue to measure and address occupation insecurity before it can impact employee wellbeing and organizational performance.

Suggested Citation

  • Lara C. Roll & Hans De Witte & Hai-Jiang Wang, 2023. "Conceptualization and Validation of the Occupation Insecurity Scale (OCIS): Measuring Employees’ Occupation Insecurity Due to Automation," IJERPH, MDPI, vol. 20(3), pages 1-26, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2589-:d:1053260
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    References listed on IDEAS

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    1. Burgard, Sarah A. & Brand, Jennie E. & House, James S., 2009. "Perceived job insecurity and worker health in the United States," Social Science & Medicine, Elsevier, vol. 69(5), pages 777-785, September.
    2. 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.
    3. 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.
    4. 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.
    5. Nele De Cuyper & Anahí Van Hootegem & Kelly Smet & Ellen Houben & Hans De Witte, 2019. "All Insecure, All Good? Job Insecurity Profiles in Relation to Career Correlates," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    6. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    7. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    8. repec:hal:gemptp:hal-01249895 is not listed on IDEAS
    9. Edward W. Miles, 2019. "The Purpose of the Business School," Springer Books, Springer, number 978-3-030-15781-4, October.
    10. Martin Sanchez-Gomez & Edgar Breso, 2020. "In Pursuit of Work Performance: Testing the Contribution of Emotional Intelligence and Burnout," IJERPH, MDPI, vol. 17(15), pages 1-13, July.
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