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The Influence of Digitization on the Emotional Exhaustion of Employees: The Moderating Role of Traditional Job Resources and Age

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  • Kristina Reineke

    (University of Paderborn)

Abstract

Against the background of technological trends, employees are increasingly confronted with digital job demands such as digital hindrance demands (i.e., the introduction of new technologies as well as the associated organizational restructuring) and digital challenge demands (i.e., an increase in task complexity and intensity). Up to now, little is known to what extant these digital demands influence the mental well-being of employees. By drawing on the Job-Demands and Resources (JD-R) model, this research paper assesses the impact of digital hindrances and digital challenges on the emotional exhaustion of employees. Particular attention is paid to the role of age and to the potential buffering effect of traditionally researched job resources (i.e., autonomy, support of leaders and peers). Using hierarchical regression modelling with a sample of 6,855 white collar workers, the results show that digital job demands exert a high and significant positive effect on emotional exhaustion. Whereas traditional job resources and increasing age helped alleviating the effect of digital challenge demands, the emotional exhaustion caused by digital hindrances was unaffected by age and could only limitedly be buffered by traditional resources.

Suggested Citation

  • Kristina Reineke, 2020. "The Influence of Digitization on the Emotional Exhaustion of Employees: The Moderating Role of Traditional Job Resources and Age," Working Papers Dissertations 62, Paderborn University, Faculty of Business Administration and Economics.
    • Handle: RePEc:pdn:dispap:62
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    File URL: http://groups.uni-paderborn.de/wp-wiwi/RePEc/pdf/dispap/DP62.pdf
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    References listed on IDEAS

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    Cited by:

    1. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.

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    More about this item

    Keywords

    emotional exhaustion; JD-R model; job demands; job resources; digitization; age; work environment; hierarchical regression;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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