Artículo

Beyond declarations: Metrics, rankings and responsible assessment

Resumen

Responsible assessment promotes expert judgment and opposes sole reliance on research metrics when assessing research excellence. While many institutions and national research panels declare commitment to responsible assessment practices, we ask: have these declarations affected the outcomes of research evaluation? Using data from the UK’s 2021 national research quality exercise and focusing on the business and management discipline, we show that the strong association between journal rankings and expert evaluations has not changed, despite institutional endorsements of DORA (Declaration on Research Assessment). Additionally, we find that this correlation is strongest for the most prestigious journals. The implications of these findings are profound: they enhance understanding of the use of metrics in research evaluations post-DORA and highlight potential constraints in the deployment of responsible assessment.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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