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Measuring Digital Work in (German) Employee Surveys: An Overview and Proposal of Systematization

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Marx, C., Abendroth, A., Meyer, S., Reimann, M., Tisch, A. Measuring Digital Work in (German) Employee Surveys: An Overview and Proposal of Systematization. Journal of Contextual Economics – Schmollers Jahrbuch, 142(1), 67-92. https://doi.org/10.3790/schm.142.1.67
Marx, Charlotte K.; Abendroth, Anja-Kristin; Meyer, Sophie-Charlotte; Reimann, Mareike and Tisch, Anita "Measuring Digital Work in (German) Employee Surveys: An Overview and Proposal of Systematization" Journal of Contextual Economics – Schmollers Jahrbuch 142.1, 2022, 67-92. https://doi.org/10.3790/schm.142.1.67
Marx, Charlotte K./Abendroth, Anja-Kristin/Meyer, Sophie-Charlotte/Reimann, Mareike/Tisch, Anita (2022): Measuring Digital Work in (German) Employee Surveys: An Overview and Proposal of Systematization, in: Journal of Contextual Economics – Schmollers Jahrbuch, vol. 142, iss. 1, 67-92, [online] https://doi.org/10.3790/schm.142.1.67

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Measuring Digital Work in (German) Employee Surveys: An Overview and Proposal of Systematization

Marx, Charlotte K. | Abendroth, Anja-Kristin | Meyer, Sophie-Charlotte | Reimann, Mareike | Tisch, Anita

Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 142 (2022), Iss. 1 : pp. 67–92

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Dr. Charlotte K. Marx, Department of Sociology, Bielefeld University Universitätsstr. 25 33615 Bielefeld, Germany

Prof. Dr. Anja-Kristin Abendroth, Department of Sociology, Bielefeld University Universitätsstr. 25 33615 Bielefeld, Germany

Sophie-Charlotte Meyer, Federal Institute for Occupational Safety and Health Friedrich-Henkel-Weg 1–25 44149 Dortmund, Germany

Dr. Mareike Reimann, Department of Sociology, Bielefeld University Universitätsstr. 25 33615 Bielefeld, Germany

Prof. Dr. Anita Tisch, Federal Institute for Occupational Safety and Health Friedrich-Henkel-Weg 1–25 44149 Dortmund, Germany

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Abstract

Innovative measurements in representative surveys are needed to draw meaningful conclusions about the prevalence of digital work and its consequences for employees’ job demands and resources. Since the digitalization of work encompasses a variety of technological developments and possible implications for employment, there are many different approaches to its operationalization. Within this article, we (1) provide a scheme for classifying different approaches to measuring digital work, (2) apply this scheme to nine different representative German employee surveys that operationalize digital work, and (3) evaluate the measurement of digital work by discussing the advantages and limitations of the different approaches. We identify three approaches to measuring digital work: equipment-based, content-based, and opinion-based. Besides the advantages and disadvantages of these approaches, we discuss the state of the art in measuring digital work and whether it would make sense to create a standardized set of questions.