Wartini-Twardowska Jolanta, Twardowska Natalia Paulina
Department of Business Informatics and International Accounting, University of Economics in Katowice, Katowice, Poland.
Department of Structural and Molecular Biology, University College London, London, United Kingdom.
PLoS One. 2025 Jan 14;20(1):e0308952. doi: 10.1371/journal.pone.0308952. eCollection 2025.
Previous studies have highlighted the inherent subjectivity, complexity, and challenges associated with research quality leading to fragmented findings. We identified determinants of research publication quality in terms of research activities and the use of information and communication technologies by employing an interdisciplinary approach. We conducted web-based surveys among academic scientists and applied machine learning techniques to model behaviors during and after the COVID-19 pandemic. Using model-agnostic explanations, we identified the determinants of research publication quality across 66 activity models. These models reflect the variety of behaviors among academic scientists during and after the COVID-19 pandemic. Our two-fold perspective distinguishes between research activities of academic scientists who increase research publication quality and those who maintain it. Notably, our findings reveal a diversity within activity models in shaping research publication quality. Academic institutions can apply our approach to analyze research staff behavior, stimulate activities, and ensure alignment with institutional objectives, thereby fostering individual and team complementarity.
以往的研究强调了与研究质量相关的内在主观性、复杂性和挑战，这些导致了研究结果的碎片化。我们采用跨学科方法，从研究活动以及信息通信技术的使用方面确定了研究发表质量的决定因素。我们对学术科学家进行了基于网络的调查，并应用机器学习技术对新冠疫情期间及之后的行为进行建模。通过使用与模型无关的解释，我们在66个活动模型中确定了研究发表质量的决定因素。这些模型反映了新冠疫情期间及之后学术科学家的各种行为。我们的双重视角区分了提高研究发表质量的学术科学家和维持研究发表质量的学术科学家的研究活动。值得注意的是，我们的研究结果揭示了活动模型在塑造研究发表质量方面的多样性。学术机构可以应用我们的方法来分析研究人员的行为，激发活动，并确保与机构目标保持一致，从而促进个人和团队的互补性。
