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Author
Abstract
This research explores potential institutional ‘gaming’ behaviors amongst Italian universities throughout the context of the VQR 2020–2024 nationwide analysis analysis train. Using mixed-integer linear programming to simulate potential college reallocations throughout departments, we assess the extent to which strategic inside restructuring can have an effect on college efficiency outcomes. Results point out that universities with decrease baseline analysis scores have stronger incentives for inside reorganization. Furthermore, whereas intra-departmental collaboration offers alternatives for gaming by way of duplicable outputs, it’s the high quality of collaborative analysis that considerably drives analysis rating enhancements. The findings spotlight vital coverage implications, calling for refined analysis standards and elevated transparency to mitigate gaming behaviors.
Suggested Citation
“Faculty shuffle: simulating institutional gaming in research evaluation,”
Scientometrics, Springer;Akadémiai Kiadó, vol. 131(5), pages 3699-3716, May.
Handle: RePEc:spr:scient:v:131:y:2026:i:5:d:10.1007_s11192-026-05656-4
DOI: 10.1007/s11192-026-05656-4
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This web page was created programmatically, to learn the article in its authentic location you’ll be able to go to the hyperlink bellow:
https://ideas.repec.org/a/spr/scient/v131y2026i5d10.1007_s11192-026-05656-4.html
and if you wish to take away this text from our website please contact us
