The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Beyond Motivation: Job and Work Design for Development, Health, Ambidexterity, and More
Open accessAbstract
Much research shows it is possible to design motivating work, which has positive consequences for individuals and their organizations. This article reviews research that adopts this motivational perspective on work design, and it emphasizes that it is important to continue to refine motivational theories. In light of continued large numbers of poor-quality jobs, attention must also be given to influencing practice and policy to promote the effective implementation of enriched work designs. Nevertheless, current and future work-based challenges mean that designing work for motivation is necessary but insufficient. This review argues that work design can be a powerful vehicle for learning and development, for maintaining and enhancing employees' physical and mental health, and for achieving control and flexibility simultaneously (for example, in the form of ambidexterity); all these outcomes are important given the challenges in today's workplaces. The review concludes by suggesting methodological directions.
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Cites
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BackgroundSelf-citationAutomation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World
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Self-citationA Meta-Analytic Review of Social Identification and Health in Organizational Contexts
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How work redesign interventions affect performance: An evidence-based model from a systematic review
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Self-citationSiegel, R., König, C. J., & Lazar, V. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100227 · Cited by 121
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Self-citationInteractive Effects of Team Virtuality and Work Design on Team Functioning
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The job perception inventory: Considering human factors and needs in the design of human-AI work
Berretta, S., Tausch, A., Peifer, C., & Kluge, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1128945 · Cited by 35
“That is why she developed the idea of SMART work being stimulating, fostering mastery and agency, providing relational aspects, and posing tolerable demands on the workplace holders (Parker, 2014; Parker et al., 2017).”
BackgroundImpacts of Machine Learning on Work
Crowston, K., & Bolici, F. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2019.719 · Cited by 26
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Metadata
- Authors
- Parker, S. K.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2014-01-03
- Volume
- 65
- Issue
- 1
- Pages
- 661-691
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2121272057
- Cited by
- 742
- References
- 20
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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