Game Theory Analysis on the Incentive Mechanism of Technology Innovation Diffusion in the High-tech Zone
Advances in Sciences and Humanities
Volume 3, Issue 6, December 2017, Pages: 82-86
Received: Feb. 28, 2017;
Accepted: Apr. 26, 2017;
Published: Oct. 31, 2017
Views 1777 Downloads 169
Yang Guo-zhong, Business School, Central South University, Changsha, China
By constructing and analyzing the incentive model of technology innovation diffusion in high-tech zone, it is found out that the traditional incentive mechanism will lead technology innovation diffusion into “Prisoner’s Dilemma”, and asymmetrical information’s merely direct incentive to the technology diffusion will result in incentive distortion. Thus, the improved incentive mechanism model based on pooling of interests in high-tech zone is brought forward, and the relevant factors influencing the level of innovation diffusion are obtained. There is a further conclusion that the design of incentive contract and incentive coefficient in high-tech zone should accord to the different innovation ability and the marginal income between the enterprises during diffusion respectively.
Game Theory Analysis on the Incentive Mechanism of Technology Innovation Diffusion in the High-tech Zone, Advances in Sciences and Humanities.
Vol. 3, No. 6,
2017, pp. 82-86.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Nunia. Carbonara Innovation process within geographical clusters: a cognitive Approach [J]. Technovation, 2004. (24):17-28.
Montoro-Sanchez A., Ortiz-de-Urbina-Criado M., Mora-Valentin E. M. Effects of knowledge spillovers on innovation and collaboration in science and technology parks [J]. Journal of Knowledge Management, 2011, 15(6):948-970.
Baptista Rui. Geographical Clusters and Innovation Diffusion [J]. Technological Forecasting and Social Change, 2011, 66(1): 31-46.
HUANG Hai-yang, CHEN Ji-xiang. Games Analysis on the technology innovation Diffusion of University and Enterprises’ Innovation Adoption. Scientific Management Research, 2012, 30(6):61-64.
Gao Tao (Tony), Leichter Gordon, Wei Yinghong. Countervailing effects of value and risk perceptions in manufacturers' adoption of expensive, discontinuous innovations [J]. INDUSTRIAL MARKETING MANAGEMENT. 2012, 41(4): 659-668.
Risselada Hans, Verhoef Peter C., Bijmolt Tammo H. A. Dynamic Effects of Social Influence and Direct Marketing on the Adoption of High-Technology Products [J]. JOURNAL OF MARKETING, 2014, 78(2): 52-68.
Wang Zhanzhao; Ma Yonghong; Zhang Fan. Study on Technology Innovation Diffusion Model and Simulation Based on System Dynamics. Science & Technology Progress and Policy, 2015, 32(19):13-19.
HUANG Wei-qiang; YAO Shuang; ZHUANG Xin-tian; XIN Wei. Innovation Diffusion Modeling Based on Scale-Free Networks. Journal of Northeastern University (Natural Science), 2015, 36(8):1212-1216.
Stummer Christian, Kiesling Elmar, Guenther Markus. Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 2015, 245(1): 157-167.
XU Ying-ying; QI Liang-qun. Research on low carbon technological innovation diffusion in enterprises clusters based on evolutionary game theory on complex networks. China Population, Resources and Environment, 2016, 26(8):16-24.
MA Yong-hong, WANG Zhan-zhao, LI Huan, ZHOU Wen. Network Structure, Adopters Preference and Innovation Diffusion: A Simulation Analysis of the S-D Model of Innovation Diffusion Based on the Decision Making Process of Adopters. Operations Research and Management Science, 2016, 25(3): 106-116.
Anand Adarsh, Agarwal Mohini, Aggrawal Deepti. Unified approach for modeling innovation adoption and optimal model selection for the diffusion process [J]. JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2016, 13(2): 154-178.
Merton R C. Option pricing when underlying stock returns discontinuous [J]. Journal of Financial Economic, 1976, 3(1-2): 125-144.
Jensen R A. Multiplant firms and innovation adoption and diffusion [J]. Southern Economic Journal, 2004, 70(3): 213-229.
Kerr S. On the Folly of Rewarding for A While Hoping for B [J]. Academy of Management Journal, 1975, 18(4):769-783.
Holmstrom B, Milgrom P. Aggregation and Linearity in the Provision of Intertemporal Incentives [J]. Econometrica, 1987, (55): 303-328.