Unravelling conditions for successful change management through evolutionary games of deterrence
Contributions to game theory and management, Tome 7 (2014), pp. 313-325.

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The paper proposes analyze the conditions for successful change management requiring information transmission and transformation of the information received into change implementation. To that end, starting from an elementary standard matrix game considering only information transmission, the paper will extend the case by considering that stakeholders have to simultaneously take decisions concerning the two above dimensions. A dynamic approach supported by the Replicator Dynamics model will then be proposed, aiming at analyzing asymptotic behaviors. The difficulties often met when trying to solve differential systems will be pointed out. Therefore a new method will be developed, leaning on a bridging in the evolutionary context between standard games and a particular type of qualitative games, called Games of Deterrence, and which object is to analyze strategies playability. Through the equivalence between the two types of games, the methodology will enable to remove some question marks in the analysis of asymptotic behaviors, thus contributing to a better understanding of conditions fostering change pervasion, and in particular of the role played by incentives.
Keywords: change, deterrence, evolution, incentives, playability, Replicator Dynamics, stability.
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Michel Rudnianski; Cerasela Tanasescu. Unravelling conditions for successful change management through evolutionary games of deterrence. Contributions to game theory and management, Tome 7 (2014), pp. 313-325. http://geodesic.mathdoc.fr/item/CGTM_2014_7_a28/

[1] D'Aveni R., Hypercompetition, Simon and Schuster, New York, 1994

[2] Ellison D., Rudnianski M., “Is Deterrence Evolutionarily Stable”, Annals of the International Society of Dynamic games, 10, eds. Bernhard P., Gaitsgory V., Pourtaillier O., Birkhauser, Berlin, 2009, 357–375 | MR | Zbl

[3] Ellison D., Rudnianski M., “Playability Properties in Games of Deterrence and Evolution in the Replicator Dynamics”, collected papers of the sixth international conference Game Theory and Management, Contribution to Game Theory and Management, VI, eds. Leon A. Petrosyan, Nikolay Zenkevich, St-Petersburg, 2012, 115–133

[4] Fichman R. G., Kemener C. F., “The Assimilation of Software Process Innovations: An Organizational Learning Perspective”, Management Science, 1997, 1345–1363 | DOI

[5] Kahneman D., Tversky A., “Prospect Theory: An Analysis of Decision under Risk”, Econometrica, 47:2 (1979), 263–291 | DOI | Zbl

[6] Rogers E., Diffusion of Innovations, Free Press, New York, 1983 | Zbl

[7] Rudnianski M., Tanasescu C., Knowledge Management and Change Pervasion: a Game Theoretic Approach, paper presented at Cross-Border Innovation and Entrepreneurship Symposium, 3–5 December 2012 Singapore, under current publication, 2012