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An analysis of the conceptualization and measurement of overemployment

Bibliographic Data

ID4356403
AuthorsJulia Hiemer (0000-0003-0464-4658, Chair of Human Resource Management and Organisational Behaviour, University of Bamberg, Bamberg, Germany, corresponding author), Maike Andresen (0000-0001-9073-4849, Chair of Human Resource Management and Organisational Behaviour, University of Bamberg, Bamberg, Germany)
Year2020
Volume29
Issue1
Pages74-102
Publication date2020-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTime & Society (JOURNAL)
Journal identifiersISSN: 0961-463X • E-ISSN: 1461-7463
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0961463x18820736
OpenAlexW2911980636
LanguageEN
Citations received4
References cited81

Socioeconomic panel data indicate that numerous employees would prefer to work less, i.e. that they are overemployed. However, due to inconsistent definitions and divergent operationalizations of overemployment, integrating existing research results is challenging and implications for research and practice are difficult to draw. To advance research in this field, we present an analysis of the concept and measurement of overemployment. To analyze the concept, we proceed in two steps. In step 1, we present the range of overemployment definitions in the literature and systematize the similarities and differences in these previous conceptualizations with the aim of arriving at an adequate definition of "overemployment." In step 2, in view of the partial overlap between existing definitions of overemployment and other concepts used in past research, we demarcate overemployment from related concepts, identify conceptual distinctions between overemployment and other concepts and explore connections between concepts. To analyze the measurement of overemployment, we look at the bandwidth of content, measurement levels and question wording in overemployment measures and discuss the consequences of the different measures used for the overemployment rates found. We then present a consistent approach towards conceptualizing and measuring overemployment which aids future research on overemployment and similar concepts

Conceptualization · Data science · Epistemology · Field (mathematics · Management science · Sociology · Computer Science · Digital Economy and Work Transformation · Employment and Welfare Studies · Higher Education and Employability · Mathematics · Psychology · Artificial Intelligence

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