Article
Compensation incentive contract of the subject librarians based on the H-M model
Authors
and
Abstract
Based on the H-M model, the compensation incentive model is constructed under the inter-task cost function. The best compensation incentive contract is constructed by solving the incentive model, and the incentive characteristics are analysed. The results show that the best incentive intensity decreases as the subject service selectivity increases. The higher incentive intensity of university managers for specific tasks, the lower efforts of subject librarians for another specific task. Moreover, when the tasks are substituted for each other, the profit-sharing ratios corresponding to different tasks are complementary. Finally, we establish the econometric empirical models to test these results.
Keywords
subject librarian, compensation, incentive contract
Citation
Wang, C. & Song, L. (2021). Compensation incentive contract of the subject librarians based on the H-M model. Applied Mathematics and Nonlinear Sciences, 6(2). https://doi.org/10.2478/amns.2021.2.00106
C. Wang and L. Song, “Compensation incentive contract of the subject librarians based on the H-M model,” Applied Mathematics and Nonlinear Sciences, vol. 6, no. 2, 2021, doi: 10.2478/amns.2021.2.00106.
Wang C, Song L. Compensation incentive contract of the subject librarians based on the H-M model. Applied Mathematics and Nonlinear Sciences. 2021;6(2). doi:10.2478/amns.2021.2.00106.
Wang, C. and Song, L. (2021), ‘Compensation incentive contract of the subject librarians based on the H-M model’, Applied Mathematics and Nonlinear Sciences, 6(2). Available at: https://doi.org/10.2478/amns.2021.2.00106.
Wang, Chunping, and Lili Song. “Compensation Incentive Contract of the Subject Librarians Based on the H-M Model.” Applied Mathematics and Nonlinear Sciences, vol. 6, no. 2, 2021. https://doi.org/10.2478/amns.2021.2.00106.
Wang, Chunping, and Lili Song. “Compensation Incentive Contract of the Subject Librarians Based on the H-M Model.” Applied Mathematics and Nonlinear Sciences 6, no. 2 (2021). https://doi.org/10.2478/amns.2021.2.00106.
Export citation
1
Total citations
0.16
FWCI
0
Recent citations
(2 years)
(2 years)
18
References
Open Access
Yes
- DOI: 10.2478/amns.2021.2.00106
- Type: article
- Source: Applied Mathematics and Nonlinear Sciences
- Published: 2021-07-01
- OpenAlex ID: W4200309740
Published by: Engineering Journals


