Complete study of a Coopetitive R&D Alliance

D. Carfí, Alessia Donato
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引用次数: 2

Abstract

The paper proposes a mathematical model of coopetitive game that ana- lyzes general asymmetric R&D alliances. The coopetitive point of view, which con- siders both collaboration and competition together, allows to analyze the functioning of alliances that arise between small and large firms. Starting from the economic models developed in managerial doctrine and from the model of coopetitive game in- troduced by David Carf`ı, we adopt a mathematical analysis, paying attention to some of the most debated quantitative questions and some analytical topics scarcely covered in the literature: a mathematical model of coopetitive game, particularly suitable for exploring a complex type of asymmetric R&D alliances. We propose a formal coopet- itive approach, with corresponding numerical example, where the coopetitive variable of the model is a real variable. A cooperative effort is suggested even if partners are potentially competitors in the marketplace and they could shape the payoff space by the coopetitive approach. To maximize profits, we suggested: first of all, a complete Pareto analysis (introduced by David Carf`ı), secondly - to share conveniently and fairly the utilities - we propose a Kalai-Smorodinsky solution of the bargaining deci- sion problem, in which the decisional constraint is the Pareto boundary of maximum collective utility.
竞争性研发联盟的完整研究
本文提出了一个分析一般不对称研发联盟的竞争博弈数学模型。合作的观点同时考虑了合作和竞争,可以分析在小公司和大公司之间产生的联盟的功能。从管理理论中发展起来的经济模型和大卫·卡夫伊(David Carf ' ' i)提出的合作博弈模型出发,我们采用了数学分析,关注了一些最具争议的定量问题和一些文献中很少涉及的分析主题:合作博弈的数学模型,特别适合探索一种复杂类型的不对称研发联盟。我们提出了一种形式的合作方法,并给出了相应的数值例子,其中模型的合作变量是一个实变量。即使合作伙伴在市场上是潜在的竞争对手,他们也可以通过合作的方式来塑造回报空间,建议合作努力。为了实现利润最大化,我们首先提出了完整的帕累托分析(由David Carf ' yi提出),其次,为了方便公平地分享效用,我们提出了议价决策问题的Kalai-Smorodinsky解,其中决策约束为最大集体效用的帕累托边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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