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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

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  • Prem Borle

    (Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353 Berlin, Germany)

  • Kathrin Reichel

    (Independent researcher in occupational health, 10245 Berlin, Germany)

  • Susanne Voelter-Mahlknecht

    (Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353 Berlin, Germany)

Abstract

Technostress is a widespread model used to study negative effects of using information communication technologies at work. The aim of this review is to assess the role of socioeconomic position (SEP) in research on work-related technostress. We conducted systematic searches in multidisciplinary databases (PubMed, PubMed Central, Web of Science, Scopus, PsycInfo, PsycArticles) in June 2020 and independently screened 321 articles against eligibility criteria (working population, technostress exposure, health or work outcome, quantitative design). Of the 21 studies included in the narrative synthesis, three studies did not collect data on SEP, while 18 studies operationalised SEP as education (eight), job position (five), SEP itself (two) or both education as well as job position (three). Findings regarding differences by SEP are inconclusive, with evidence of high SEP reporting more frequent exposure to overall technostress. In a subsample of 11 studies reporting data on educational attainment, we compared the percentage of university graduates to World Bank national statistics and found that workers with high SEP are overrepresented in nine of 11 studies. The resulting socioeconomic sampling bias limits the scope of the technostress model to high SEP occupations. The lack of findings regarding differences by SEP in technostress can partly be attributed to limitations in study designs. Studies should aim to reduce the heterogeneity of technostress and SEP measures to improve external validity and generalisability across socioeconomic groups. Future research on technostress would benefit from developing context-sensitive SEP measures and quality appraisal tools that identify socioeconomic sampling biases by comparing data to national statistics.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2071-:d:502752
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    References listed on IDEAS

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    Cited by:

    1. Louisa Scheepers & Peter Angerer & Nico Dragano, 2022. "Digitalisation in Craft Enterprises: Perceived Technostress, Readiness for Prevention and Countermeasures—A Qualitative Study," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    2. Fiona Niebuhr & Prem Borle & Franziska Börner-Zobel & Susanne Voelter-Mahlknecht, 2022. "Healthy and Happy Working from Home? Effects of Working from Home on Employee Health and Job Satisfaction," IJERPH, MDPI, vol. 19(3), pages 1-14, January.
    3. 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.
    4. 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.
    5. Gabriele Giorgi & Antonio Ariza-Montes & Nicola Mucci & Antonio L. Leal-Rodríguez, 2022. "The Dark Side and the Light Side of Technology-Related Stress and Stress Related to Workplace Innovations: From Artificial Intelligence to Business Transformations," IJERPH, MDPI, vol. 19(3), pages 1-5, January.
    6. Mehmet Akif Çini & Meral Erdirençelebi & Abdullah Zübeyr Akman, 2023. "The Effect of Organization Employees' Perspective on Digital Transformation on Their Technostress Levels and Performance: A Public Institution Example," Central European Business Review, Prague University of Economics and Business, vol. 2023(4), pages 33-57.

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