产业技术创新战略联盟企业竞合策略研究 ——基于联盟企业不对称学习能力视角

Competition and Cooperation Strategies of Industrial Technology Innovation Strategic Alliance Enterprises: From Perspective of Asymmetric Learning Ability

摘要:

为了适度引导创新要素及核心知识在产业技术创新战略联盟企业间的良性循环，有效刻画联盟企业间竞争策略与合作策略同时存在的复杂动态关系，以联盟企业不对称学习能力作为切入点，建立产业技术创新战略联盟企业竞合策略选择演化博弈模型，分析演化稳定策略，并在此基础上对部分参数进行数值仿真。研究结果显示：随着相对探索比例的提高，产业技术创新战略联盟的稳定性越高；知识产权系数、协同收益系数以及联盟企业模仿成本的增加，均可以有效抑制联盟企业间竞争的产生，其中协同收益系数的抑制作用更加明显；联盟企业在探索性合作中所占比例的增加、在交易性合作中所占比例的降低以及自身所持有技术专有程度的提高，均增加企业自身发起竞争的概率、减少合作伙伴发起竞争的可能性。

Abstract:

In order to guide the circulation of innovation elements and core knowledge in the strategic alliance of industrial technology innovation and describe the complex dynamic relationship of competition and cooperation strategies existing simultaneously, taking the asymmetric learning ability as the starting point, this paper establishes the Evolutionary Game Model on the selection of competition and cooperation strategies for enterprises in strategic alliance of industrial technological innovation, analyzes the evolution stability strategy, and carries out numerical simulation on some parameters. The results show that the higher the proportion of exploration, the more stable the strategic alliance of industrial technology innovation is; the intellectual property coefficient, the co-benefit coefficient and the increase of the imitation cost of alliance enterprises can effectively restrain the competition among alliance enterprises, among them, the inhibition effect of synergistic return coefficient is more obvious; the increase in the proportion of alliance enterprises in exploratory cooperation, the decrease in the proportion of transaction cooperation, and the increase in the degree of technological know-how owned by alliance enterprises increase the probability of launching competition by themselves, and reduce the possibility of launching competition by cooperative partners.