Julia Hiemer
Biographic Data
| ID | 3984445 |
|---|---|
| NAME | Julia Hiemer |
| GIVEN NAMES | Julia |
| FAMILY NAME | Hiemer |
| SIGNATURE | HIEMER J |
| AFFILIATIONS | Chair of Human Resource Management and Organisational Behaviour, University of Bamberg, Bamberg, Germany |
| ORCID | 0000-0003-0464-4658 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
When less time is preferred: An analysis of the conceptualization and measurement of overemployment
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 …
When less time is preferred: An analysis of the conceptualization and measurement of overemployment
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 …
When less time is preferred: An analysis of the conceptualization and measurement of overemployment
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 …
Artificial Intelligence (1 works) · Computer Science (1 works) · Conceptualization (1 works) · Data science (1 works) · Digital Economy and Work Transformation (1 works) · Employment and Welfare Studies (1 works) · Epistemology (1 works) · Field (mathematics (1 works) · Higher Education and Employability (1 works) · Management science (1 works)