Jung Jung-Kyu, Choi Jae Young
Korea Institute of Science and Technology Evaluation and Planning (KISTEP), Eumseong-gun, Chungcheongbuk-do South Korea.
Graduate School of Technology and Innovation Management, Hanyang University, Seoul, South Korea.
Scientometrics. 2022;127(5):2847-2869. doi: 10.1007/s11192-022-04320-x. Epub 2022 Mar 12.
Academics generally should meet teaching duty and research performance requirements. Since their work time is finite, academics need to allocate time for research, teaching, and other types of work. This means that universities or governments might enhance the efficiency of their faculty systems or educational policies by understanding academics' preferences for choice and allocation of their work time. We analyzed the work time allocation preferences of 450 Korean academics in science and engineering fields based on the multiple discrete-continuous extreme value (MDCEV) model. We classified work time into either of research, teaching, or other tasks and investigated the relationship between academics' preferences in choosing and allocating their work time and faculty system (e.g., tenure), individual characteristics (e.g., research productivity) and external shock (e.g., COVID-19). Analysis results show that academics with either of tenure, higher research productivity, or commercialization experience preferred to allocating their work time firstly to research, i.e., rather than to teaching or other tasks, while this was not the case for the academics after the pandemic. In general, academics appeared not to prefer allocating their work time firstly to teaching. Implications of our study are twofold. First, the higher education sector needs to incentivize academics' teaching time allocation for enhanced effectiveness of education. Second, universities and governments urgently need systems and policies to facilitate academics' research time allocation for enhanced research productivity as we find deteriorated preference for research time allocation after COVID-19.
学者通常应满足教学职责和研究绩效要求。由于他们的工作时间有限,学者需要为研究、教学和其他类型的工作分配时间。这意味着大学或政府可以通过了解学者对工作时间选择和分配的偏好来提高其教师体系或教育政策的效率。我们基于多重离散-连续极值(MDCEV)模型分析了450名韩国理工科领域学者的工作时间分配偏好。我们将工作时间分为研究、教学或其他任务,并研究了学者在选择和分配工作时间方面的偏好与教师体系(如终身教职)、个人特征(如研究生产力)和外部冲击(如新冠疫情)之间的关系。分析结果表明,拥有终身教职、较高研究生产力或商业化经验的学者更倾向于首先将工作时间分配给研究,即而非教学或其他任务,而疫情后的学者则并非如此。总体而言,学者似乎不太倾向于首先将工作时间分配给教学。我们的研究有两方面的意义。第一,高等教育部门需要激励学者分配教学时间,以提高教育效果。第二,大学和政府迫切需要系统和政策来促进学者分配研究时间,以提高研究生产力,因为我们发现新冠疫情后对研究时间分配的偏好有所下降。