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Complete study of a Coopetitve R&D Alliance
Complete study of a Coopetitve R&D Alliance

Author(s): Carfì David, Alessia Donato
Subject(s): Economy
Published by: ASERS Publishing
Keywords: loss prevention; incentive system; subjectiv evaluation; insurance premium discount; book price discount

Summary/Abstract: The paper proposes a mathematical model of coopetitive game that analyzes 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 introduced by David Carf, 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 coopetitive 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), secondly, to share conveniently and fairly the utilities - we propose a Kalai-Smorodinsky solution of the bargaining decision problem, in which the decisional constraint is the Pareto boundary of maximum collective utility.

  • Issue Year: II/2016
  • Issue No: 2(3)
  • Page Range: 35-66
  • Page Count: 32
  • Language: English