The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Research, teaching and performance evaluation in academia: the salience of quality
Open accessAbstract
The workload of most academics involves two main activities: research and teaching. Despite the dual nature of the work, career advancement usually chiefly depends on research performance. Since academics are rational actors, warnings are beginning to emerge that current predominantly research-based performance evaluation systems may be detrimental to creativity and innovation in teaching. This paper investigates the substance of these warnings by revisiting the relationship between research performance and teaching quality. Using a large cross-disciplinary sample of academics within a research-oriented university, we find, consistent with prior evidence, that research productivity is not related to teaching quality, whereas research quality is positively related with teaching quality. These findings discount fears that research-based performance evaluation in academia may be detrimental to teaching quality.
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Cites
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Cited by
Johnson, M. (2021) · The International Journal of Management Education · doi:10.1016/j.ijme.2021.100508 · Cited by 22
Metadata
- Authors
- Cadez, S., Dimovski, V., & Zaman Groff, M.
- Venue
- Studies in Higher Education
- Publisher
- Informa UK Limited
- Published
- 2015-12
- Volume
- 42
- Issue
- 8
- Pages
- 1455-1473
- ISSN
- 0307-5079 (ISSN-L)
- 1470-174X
- OpenAlex
- W2211439825
- Cited by
- 257
- References
- 55
- FWCI
- 39.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Cadez, S., Dimovski, V., & Zaman Groff, M. (2017). Research, teaching and performance evaluation in academia: the salience of quality. Studies in Higher Education. https://doi.org/10.1080/03075079.2015.1104659
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
