Incentive information sharing in various market structures

Information sharing between firms has been cited as a major means to improve firm performance. This paper develops a conceptual framework that relates information sharing to firm profitability in a duopoly market. The framework allows each firm to have its own private information about uncertain market demand. We utilize a game-theoretical model to examine this framework. Our results reveal that information sharing has no uniform effect on firm performance. Firms behaving in the Bertrand mode benefit from information sharing only under certain conditions. However, firms behaving in the Stackelberg mode always benefit from information sharing. Further, we examine how the value of information sharing is affected by the nature of firm, the product brand, and the degree of product differentiation. Our results show that when two firms have high level of customer satisfaction, offer products with reputable brands, or sell products that are strongly substituted in the market, information sharing becomes significantly important and imperative to both firms. Particularly if two firms behave in a Stackelberg mode, the value of information sharing further increases. Furthermore, we also address the issue of information distortion and propose EDI (Electronic Data Interchange) information system with a nonnegative matrix-factorization technique as an effective and valuable mechanism to eliminate any possible information distortion, so that both firms can share their forecast information truthfully. Information becomes a critical resource to the success of a firm.Information sharing of competing firms is becoming increasingly prevalent.Information sharing shows different influences on the performance of a firm acting in different modes.Information could be distorted while sharing information.Valuable mechanism is needed to eliminate information distortion.

[1]  Arbee L. P. Chen,et al.  Hiding Sensitive Association Rules with Limited Side Effects , 2007 .

[2]  John J. Liu,et al.  Competitive pricing of mixed retail and e-tail distribution channels , 2005 .

[3]  Y. Ho,et al.  Informational properties of the Nash solutions of two stochastic nonzero-sum games , 1974 .

[4]  E. Gal‐Or,et al.  First Mover and Second Mover Advantages , 1985 .

[5]  J. Raju,et al.  Market Information and Firm Performance , 2000 .

[6]  Ruiliang Yan,et al.  Product brand differentiation and dual‐channel store performances of a multi‐channel retailer , 2010 .

[7]  Lode Li Information Sharing in a Supply Chain with Horizontal Competition , 2002, Manag. Sci..

[8]  R. L. Winkler Combining Probability Distributions from Dependent Information Sources , 1981 .

[9]  Dominique M. Hanssens,et al.  Modeling Asymmetric Competition , 1988 .

[10]  E. Gal‐Or,et al.  Information Sharing in Oligopoly , 1985 .

[11]  David Besanko,et al.  Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework , 1998 .

[12]  Binshan Lin,et al.  Accessing information sharing and information quality in supply chain management , 2006, Decis. Support Syst..

[13]  Ruiliang Yan,et al.  Product Choice Strategy for Online Retailers , 2008, Int. J. E Bus. Res..

[14]  Lopo L. Rego,et al.  Customer Satisfaction, Cash Flow, and Shareholder Value , 2005 .

[15]  Jian Li,et al.  Will a supplier benefit from sharing good information with a retailer? , 2013, Decis. Support Syst..

[16]  Liang Guo,et al.  Information Acquisition and Sharing in a Vertical Relationship , 2010, Mark. Sci..

[17]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[18]  Ellen Thomas,et al.  Forecasting organizational adoption of high-technology product innovations separated by impact: Are traditional macro-level diffusion models appropriate? , 2010 .

[19]  Arthur B. Yeh,et al.  Beyond EDI: Impact of Continuous Replenishment Program (CRP) Between a Manufacturer and Its Retailers , 2001, Inf. Syst. Res..

[20]  H. Raghav Rao,et al.  Interorganizational information sharing in the airline industry: An analysis of stock market responses to code-sharing agreements , 2007, Inf. Syst. Frontiers.

[21]  Andrew B. Whinston,et al.  Supply chain information sharing in a macro prediction market , 2006, Decis. Support Syst..

[22]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[23]  Olivier Armantier,et al.  Exchanges of Cost Information in the Airline Industry , 2003 .

[24]  Chakravarthi Narasimhan,et al.  Vertical Information Sharing in Distribution Channels , 2004 .

[25]  X. Vives Duopoly information equilibrium: Cournot and bertrand , 1984 .

[26]  Xavier Vives,et al.  INFORMATION SHARING: ECONOMICS AND ANTITRUST , 2007 .

[27]  Rajkumar Venkatesan,et al.  Optimal Customer Relationship Management Using Bayesian Decision Theory: An Application for Customer Selection , 2007 .

[28]  J. Laffont,et al.  Econometric Analysisof Collusive Behaviorin a Soft‐Drink Market , 1992 .

[29]  Yossi Aviv,et al.  The Effect of Collaborative Forecasting on Supply Chain Performance , 2001, Manag. Sci..

[30]  Jie Wang,et al.  Knowledge and Information Systems REGULAR PAPER , 2006 .

[31]  Anthony J. Dukes,et al.  Information Sharing in a Channel with Partially Informed Retailers , 2008, Mark. Sci..

[32]  David A. Malueg,et al.  Duopoly information exchange: The case of unknown slope , 1996 .

[33]  Tasadduq A. Shervani,et al.  Market-Based Assets and Shareholder Value: A Framework for Analysis , 1998 .

[34]  Lindsay Meredith,et al.  A diagrammatical template for business market demand estimation , 2006 .

[35]  Pradeep K. Chintagunta,et al.  Investigating Dynamic Multifirm Market Interactions in Price and Advertising , 1999 .

[36]  F. Scherer,et al.  Industrial Market Structure and Economic Performance. , 1971 .

[37]  Dominique M. Hanssens,et al.  Marketing and Firm Value: Metrics, Methods, Findings, and Future Directions , 2008 .

[38]  Hongtao Zhang VERTICAL INFORMATION EXCHANGE IN A SUPPLY CHAIN WITH DUOPOLY RETAILERS , 2002 .

[39]  Robert S. Moore,et al.  Supply chain relationships and information capabilities , 2007 .

[40]  M. Shaw,et al.  A strategic analysis of inter organizational information sharing , 2006, Decis. Support Syst..

[41]  Ruiliang Yan,et al.  Franchisor–franchisee supply chain cooperation: Sharing of demand forecast information in high-tech industries , 2012 .

[42]  M. Degroot,et al.  Bayesian Analysis and Duopoly Theory , 1970, Journal of Political Economy.