Examining the influence of knowledge spillover on partner selection in knowledge Alliances: The role of benefit distribution

联盟 溢出效应 知识溢出 知识共享 选择(遗传算法) 业务 Boosting(机器学习) 知识管理 知识价值链 构造(python库) 互补性(分子生物学) 分布(数学) 知识经济 芯(光纤) 产业组织 营销 微观经济学 组织学习 经济 计算机科学 数学 人工智能 电信 遗传学 程序设计语言 法学 数学分析 政治学 机器学习 生物
作者
Jiafu Su,Fengting Zhang,Dan Wang,Stavros Sindakis,Yan Xiao,Enrique Herrera‐Viedma
出处
期刊:Computers & Industrial Engineering [Elsevier BV]
卷期号:180: 109245-109245 被引量:1
标识
DOI:10.1016/j.cie.2023.109245
摘要

Partner selection plays a meaningful role in gaining and maintaining the competitive advantage of knowledge alliance. The knowledge spillover effect impacts the competitiveness of members, thereby affecting the partner selection strategy of the knowledge alliance. Therefore, this paper will explore the impact of knowledge spillover effects on partner selection in knowledge alliances based on benefit distribution. We construct a biform game model of partner selection for a knowledge alliance composed of core and collaborative members. The clique solution is employed to divide the alliance's overall benefits after the introduction of the variables such as innovation efficiency, knowledge input, and marginal loss. Then the influence of the knowledge spillover effect on partner selection for knowledge alliance is explored. Under certain conditions, the core member and members with whom they have cooperated are at the advantage of benefit distribution in the knowledge alliance, while the rest of the members are at the disadvantage of benefit distribution. Enhancing the alliance's overall interests while boosting its competitiveness is made possible by the growth of innovation efficiency and knowledge input. Also, knowledge spillover helps organizations identify and select potential partners, which is conducive to exerting the positive knowledge spillover effect to the fullest, especially for collaborative members who lack cooperation experience, which can significantly enhance their competitiveness. The results offer a useful guide for choosing suitable knowledge alliance partners to fully exploit the knowledge spillover effect.

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