Research on Knowledge Management Incentive in Collaborative Supply Chain with Reciprocal Preference
Xiao-lan He ()
Additional contact information
Xiao-lan He: Sichuan University
A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1175-1184 from Springer
Abstract:
Abstract Knowledge management is embraced in many organizations. This paper aimed to contribute to help the principal design a reasonable contract on the knowledge agent in collaborative supply chain. In order to compare, we planned two models, one was a normal principal-agent model with moral hazard, and the other was a model with reciprocal preference. The four tables showed the relationships between reciprocal preference and bonus, effort degree, fixed wage and the principal’s expected profit respectively. The four various all changed with reciprocal preference. Then the numerical experiment showed the principal should provide different contracts to the agent with different reciprocal preference. This paper provides support for reciprocal preference as an important factor in a collaborative supply chain based on knowledge management, and furthermore, it helps how the principal design a useful contract.
Keywords: Incentives; Knowledge management; Moral hazard; Reciprocal preference (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_115
Ordering information: This item can be ordered from
http://www.springer.com/9783642400636
DOI: 10.1007/978-3-642-40063-6_115
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().