EconPapers    
Economics at your fingertips  
 

Technology-sharing strategy and incentive mechanism for R&D teams of manufacturing enterprises

Hao Zhang, Mingyue Wang, Zhixuan Cheng and Ling Wan

Physica A: Statistical Mechanics and its Applications, 2020, vol. 555, issue C

Abstract: Technology innovation is a necessary condition for manufacturing enterprises to maintain competitiveness. As the central part of the national innovation system, enterprises must avoid redundant research and development (R&D) input and blind competition; therefore, it is crucial to guide technology-sharing of R&D teams in enterprises. An evolutionary game model for the analysis of agents’ strategy choice between upstream and downstream R&D teams is established. It shows that the technology-sharing strategy chosen by the R&D teams is closely related to the sharable coefficient of technology, and also closely related to the benefits obtained through free-riding. As the sharable coefficient of technology of upstream and downstream R&D teams A and B is continuously changing, four evolutionary stable equilibrium strategies appear in turn. The coefficient of synergy benefits, the capacity of technology absorption, and the sharable coefficient of technology have a positive correlation with the sum of direct benefits and synergy benefits; the technology transfer costs, the capability difference costs, risk factors, and the relative amount of technology-sharing are the critical factors negatively affecting the technology-sharing of the upstream and downstream R&D teams. A specific compensation mechanism can reduce the cost of sharing and increase the willingness to share technology. At the same time, as the internal incentive factors changes, the technology-sharing system tends to converge to {technology-sharing, technology-sharing}, thus providing decision support for the formulation and effective evaluation of manufacturing innovation policies.

Keywords: Manufacturing enterprises; Technology-sharing; Evolutionary game; Incentive mechanism (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437120302521
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:eee:phsmap:v:555:y:2020:i:c:s0378437120302521

DOI: 10.1016/j.physa.2020.124546

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:555:y:2020:i:c:s0378437120302521