Analysis of Losing Talents and Incentive Theory in Economics: Shenhuo Group in Henan as an Example

Shuo Hao () and Wei-min Cai
Additional contact information
Shuo Hao: Tianjin Polytechnic University
Wei-min Cai: Tianjin Polytechnic University

Chapter Chapter 71 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 669-676 from Springer

Abstract: Abstract The purpose of this paper is to discuss the solving methods of losing talents in Shenhuo Group and other state-owned enterprises by analyzing the problem of losing talents in Shenhuo Group. Incentive theory in economics was applied to establish an effective incentive system for Shenhuo Group. What could be seen by analyzing Shenhuo Group was that incentive theory in economics was effective for solving the problem of losing talents. However, this theory would be more effective in practical application when combined with incentive theory in management. There is a significant use for reference not only to Shenhuo Group but also to those state-owned enterprises which existing the problem of losing talents. Direction of the development of human resource management theory is to absorb the economic theory of motivation.

Keywords: Losing talents; Incentive theory in economics; Incentive mode; State-owned enterprises (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:978-3-642-38442-4_71

Ordering information: This item can be ordered from
http://www.springer.com/9783642384424

DOI: 10.1007/978-3-642-38442-4_71

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 ().