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The Influence of Information Acquisition on the Complex Dynamics of Market Competition

Zhanbing Guo

College of Management and Economics, Tianjin University, Tianjin 300072, P. R. China

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and

Junhai Ma

College of Management and Economics, Tianjin University, Tianjin 300072, P. R. China

E-mail Address: mjhtju@aliyun.com

Corresponding author

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https://doi.org/10.1142/S0218127416500085Cited by:19 (Source: Crossref)

Abstract

In this paper, we build a dynamical game model with three bounded rational players (firms) to study the influence of information on the complex dynamics of market competition, where useful information is about rival’s real decision. In this dynamical game model, one information-sharing team is composed of two firms, they acquire and share the information about their common competitor, however, they make their own decisions separately, where the amount of information acquired by this information-sharing team will determine the estimation accuracy about the rival’s real decision. Based on this dynamical game model and some creative 3D diagrams, the influence of the amount of information on the complex dynamics of market competition such as local dynamics, global dynamics and profits is studied. These results have significant theoretical and practical values to realize the influence of information.

Keywords:

References

Agrawal, S., Sengupta, R. N. & Shanker, K. [2009] “ Impact of information sharing and lead time on bullwhip effect and on-hand inventory,” European J. Operat. Res. 192, 576–593. Crossref, Web of Science, Google Scholar
Aziz-Alaoui, M. & Chen, G. [2002] “ Asymptotic analysis of a new piecewise-linear chaotic system,” Int. J. Bifurcation and Chaos 12, 147–157. Link, Web of Science, Google Scholar
Barboza, R. & Chen, G. [2011] “ On the global boundedness of the Chen system,” Int. J. Bifurcation and Chaos 21, 3373–3385. Link, Web of Science, Google Scholar
Bischi, G. I. & Naimzada, A. [2000] “ Global analysis of a dynamic duopoly game with bounded rationality,” Advances in Dynamic Games and Applications (Springer), pp. 361–385. Crossref, Google Scholar
Bischi, G. I., Naimzada, A. K. & Sbragia, L. [2007] “ Oligopoly games with local monopolistic approximation,” J. Econ. Behav. Organiz. 62, 371–388. Crossref, Web of Science, Google Scholar
Cao, E. [2014] “ Coordination of dual-channel supply chains under demand disruptions management decisions,” Int. J. Product. Res. 52, 7114–7131. Crossref, Web of Science, Google Scholar
Cavalli, F., Naimzada, A. & Tramontana, F. [2015] “ Nonlinear dynamics and global analysis of a heterogeneous Cournot duopoly with a local monopolistic approach versus a gradient rule with endogenous reactivity,” Commun. Nonlin. Sci. Numer. Simul. 23, 245–262. Crossref, Web of Science, Google Scholar
Chen, F., Ma, J. H. & Chen, X. Q. [2009] “ The study of dynamic process of the triopoly games in chinese 3G telecommunication market,” Chaos Solit. Fract. 42, 1542–1551. Crossref, Web of Science, Google Scholar
Choo, C. W. [2002] Information Management for the Intelligent Organization: The Art of Scanning the Environment (Information Today, Inc.). Google Scholar
Du, J.-G., Fan, Y.-Q., Sheng, Z.-H. & Hou, Y.-Z. [2013] “ Dynamics analysis and chaos control of a duopoly game with heterogeneous players and output limiter,” Econ. Model. 33, 507–516. Crossref, Web of Science, Google Scholar
Elsadany, A. [2010] “ Dynamics of a delayed duopoly game with bounded rationality,” Math. Comput. Model. 52, 1479–1489. Crossref, Web of Science, Google Scholar
Fan, Y., Xie, T. & Du, J. [2012] “ Complex dynamics of duopoly game with heterogeneous players: A further analysis of the output model,” Appl. Math. Comput. 218, 7829–7838. Crossref, Web of Science, Google Scholar
Fanti, L., Gori, L., Mammana, C. & Michetti, E. [2013] “ The dynamics of a Bertrand duopoly with differentiated products: Synchronization, intermittency and global dynamics,” Chaos Solit. Fract. 52, 73–86. Crossref, Web of Science, Google Scholar
Fu, Q. & Zhu, K. [2010] “ Endogenous information acquisition in supply chain management,” European J. Operat. Res. 201, 454–462. Crossref, Web of Science, Google Scholar
Gao, X., Zhong, W. & Mei, S. [2012] “ Equilibrium stability of a nonlinear heterogeneous duopoly game with extrapolative foresight,” Math. Comput. Simul. 82, 2069–2078. Crossref, Web of Science, Google Scholar
Gao, X., Zhong, W. & Mei, S. [2013] “ The stability of a Cournot oligopoly: The effects of adaptive expectations,” J. Diff. Eqs. Appl. 19, 863–869. Crossref, Web of Science, Google Scholar
Guo, L. & Iyer, G. [2010] “ Information acquisition and sharing in a vertical relationship,” Market. Sci. 29, 483–506. Crossref, Web of Science, Google Scholar
Hall, J. M., Kopalle, P. K. & Krishna, A. [2010] “ Retailer dynamic pricing and ordering decisions: Category management versus brand-by-brand approaches,” J. Retail. 86, 172–183. Crossref, Web of Science, Google Scholar
Huck, S., Normann, H.-T. & Oechssler, J. [2000] “ Does information about competitors actions increase or decrease competition in experimental oligopoly markets?” Int. J. Industr. Organiz. 18, 39–57. Crossref, Web of Science, Google Scholar
Jansen, J. [2008] “ Information acquisition and strategic disclosure in oligopoly,” J. Econ. Manag. Strat. 17, 113–148. Crossref, Web of Science, Google Scholar
Kamalinejad, H., Majd, V. J., Kebriaei, H. & Rahimi-Kian, A. [2010] “ Cournot games with linear regression expectations in oligopolistic markets,” Math. Comput. Simul. 80, 1874–1885. Crossref, Web of Science, Google Scholar
Li, T. & Ma, J. [2014] “ Complexity analysis of the dual-channel supply chain model with delay decision,” Nonlin. Dyn. 78, 2617–2626. Crossref, Web of Science, Google Scholar
Li, T. & Ma, J. [2015] “ Complexity analysis of dual-channel game model with different managers business objectives,” Commun. Nonlin. Sci. Numer. Simul. 20, 199–208. Crossref, Web of Science, Google Scholar
Ma, J. & Mu, L. [2007] “ Complex dynamics in a nonlinear cobweb model for real estate market,” Discr. Dyn. Nat. Soc. 2007, 14 pp. Web of Science, Google Scholar
Ma, J. & Wu, K. [2013] “ Complex system and influence of delayed decision on the stability of a triopoly price game model,” Nonlin. Dyn. 73, 1741–1751. Crossref, Web of Science, Google Scholar
Ma, J. & Guo, Z. [2014] “ The parameter basin and complex of dynamic game with estimation and two-stage consideration,” Appl. Math. Comput. 248, 131–142. Crossref, Web of Science, Google Scholar
Ma, J. & Wang, H. [2014] “ Complexity analysis of dynamic noncooperative game models for closed-loop supply chain with product recovery,” Appl. Math. Model. 38, 5562–5572. Crossref, Web of Science, Google Scholar
Ma, J. & Wu, F. [2014] “ The application and complexity analysis about a high-dimension discrete dynamical system based on heterogeneous triopoly game with multi-product,” Nonlin. Dyn. 77, 781–792. Crossref, Web of Science, Google Scholar
Peng, J., Miao, Z. & Peng, F. [2011] “ Study on a 3-dimensional game model with delayed bounded rationality,” Appl. Math. Comput. 218, 1568–1576. Crossref, Web of Science, Google Scholar
Tu, H. & Ma, J. [2013] “ Complexity and control of a Cournot duopoly game in exploitation of a renewable resource with bounded rationality players,” WSEAS Trans. Math. 12, 670–680. Google Scholar
Wu, F. & Ma, J. [2015] “ The complex dynamics of a multi-product mixed duopoly model with partial privatization and cross-ownership,” Nonlin. Dyn. 80, 1391–1401. Crossref, Web of Science, Google Scholar
Yali, L. [2011] “ Dynamics of a delayed duopoly game with increasing marginal costs and bounded rationality strategy,” Procedia Engin. 15, 4392–4396. Crossref, Google Scholar
Yao, H.-X. & Xu, F. [2006] “ Complex dynamics analysis for a duopoly advertising model with nonlinear cost,” Appl. Math. Comput. 180, 134–145. Crossref, Web of Science, Google Scholar