Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

March 31, 2022


Pages

721-730


DOI

Article

The incentive contract of subject librarians in university library under the non-linear task importance

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Authors

Chunping Wang Affiliation:
Kunming University of Science and Technology, Kunming, Yunnan 650500, China
and Lili Song Affiliation:
School of Economics and Management, Chongqing Three Gorges Vocational College, Chongqing, Sichuan 404155, China


Abstract

Under the information asymmetry, we consider the impact of task importance on the income of university managers, introducing the non-linear income function of university managers. Based on the principal-agent theory, we construct a non-linear incentive optimisation model for subject librarians. We discussed how university managers allocate incentive intensity and how the subject librarians allocate the effort level to achieve the best net expected income for university administrators and subject librarians while satisfying the constraints of participation and incentive compatibility. The results show that the optimal incentive contract for subject librarians is related to task importance, ability level, risk aversion characteristics and the randomness of the external environment in university libraries. The relative incentive intensity increases with the increase of task importance, risk aversion, ability level and randomness of information retrieval tasks, and decreases with the increase of randomness of subject service tasks.


Keywords

principal-agent, incentive contract, subject librarian


Citation

Wang, C. & Song, L. (2021). The incentive contract of subject librarians in university library under the non-linear task importance. Applied Mathematics and Nonlinear Sciences, 6(2), 721–730. https://doi.org/10.2478/amns.2021.2.00161

Published by: Engineering Journals

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