期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2021
卷号：16
期号：03
页码：114-126
DOI：10.3991/ijet.v16i03.20469
出版社：Kassel University Press
摘要：Based on the principal-agent theory, we introduce the specific task ability, construct the optimization model of the incentive system of the subject librarians, and discuss how to design the incentive system to achieve "win-win". According to the best incentive system, the variables are selected and measured by real data. An empirical model is established based on the econometrics theory, and the related theoretical conclusions are tested according to the empirical results. It is found that when the information is asymmetric, the best incentive system is composed of the optimal fixed income and the optimal value share. The higher the level of ability, managers should strengthen incentives and the subject librarians will increase the intensity of their efforts; the lower risk preference and the higher random selection, managers should weaken incentives and the subject librarians will reduce their efforts.
