Two-Period Reputation Model of Knowledge Sharing between Enterprises Based on Signal Game Analysis. (13th April 2021)
- Record Type:
- Journal Article
- Title:
- Two-Period Reputation Model of Knowledge Sharing between Enterprises Based on Signal Game Analysis. (13th April 2021)
- Main Title:
- Two-Period Reputation Model of Knowledge Sharing between Enterprises Based on Signal Game Analysis
- Authors:
- Wang, Qiliang
Jiang, Qingquan
Yu, Hongxia
Fu, Rong
Mo, Changwei - Other Names:
- Huang Chenxi Academic Editor.
- Abstract:
- Abstract : Knowledge sharing between enterprises is an important way to obtain external research and development (R&D) resources and keep competitiveness. This paper used a reputation model based on a two-period signal game to explore knowledge-sharing micromechanism between enterprises and key influencing factors of enterprises. The results show that reputation effects are an important mechanism that will make knowledge sharing between enterprises operate effectively. Motivated by reputation effects, even those noncooperative enterprises continue to pretend to be cooperative enterprises for knowledge sharing before the end of the game. Finally, we adopt the analytical methods and conclusions given by the model in this article to analyze opportunistic problems in knowledge sharing among cooperative enterprises and put forward some valuable suggestions on the conditions for the effective use of corporate reputation effects.
- Is Part Of:
- Mathematical problems in engineering. Volume 2021(2021)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04-13
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2021/6620523 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16538.xml