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Journal of Vocational Behavior
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Journal of Vocational Behavior
Article
License: CC BY
Data sources: UnpayWall
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Generativity at work: A meta-analysis

A meta-analysis
Authors: Doerwald, Friederike; Zacher, Hannes; Van Yperen, Nico W.; Scheibe, Susanne;

Generativity at work: A meta-analysis

Abstract

Generativity entails both the motive and the behavior to support and guide younger people and to benefit “future generations.” Given its relevance for work and career outcomes, research on generativity in the work context has accumulated over the last three decades. To synthesize this work, we developed a conceptual model based on generativity, lifespan, resource, and motivation theories and conducted a meta-analysis (k = 48, N = 15,356). The results show that the generativity motive is positively related to person-related (e.g., age, tenure, agency and communion, work centrality) and context-related antecedents (e.g., challenging job demands, job autonomy). Moreover, the generativity motive is positively associated with motivational (i.e., work motivation, occupational self-efficacy), well-being (e.g., positive affect, job satisfaction, self-esteem), and career-related outcomes (e.g., mentoring relationship quality, career satisfaction). The fewer studies on generative behavior largely show a similar pattern. Overall, the findings (1) improve understanding of the nomological network of both the generativity motive and generative behavior at work, (2) point to the importance of generativity for favorable work outcomes, and (3) highlight that future research is needed to better understand the mechanisms and boundary conditions of effects of generativity at work.

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
95
Top 1%
Top 10%
Top 1%
hybrid