Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis
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2016
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Springer
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Tavana, M., Di Caprio, D., & Santos-Arteaga, F. J. (2016). Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis. Annals of Operations Research, 244(2), 647-676. https://doi.org/10.1007/S10479-016-2114-7
Abstract
In this paper we model the strategic behavior of firms competing in duopolistic
environments with a loyal customer base and formalize their decision to delay the introduction
of the most technologically developed product available. The proposed model extends and
complements the partial approaches studied in the economic, management and operations
research literatures. The former emphasizes the role of the strategic knowledge spillovers
that may take place among competing firms because of their incentives to introduce technologically superior products while assuming the acceptance of such products by customers as
given. The second defines its technology acceptance model based on the demand side of the
economic system without considering the resulting strategic interactions that arise among the
firms. The latter addresses the effect that signals about a new technology have on the information acquisition behavior of decision makers (DMs) but does not consider the capacity
of DMs to account for several product characteristics and their interaction when acquiring information. Using a duopolistic innovation game model we illustrate how the existence of
loyal customer bases allows for higher expected payoffs when generating monopolized markets but decreases the incentives of firms to introduce the most technologically developed
product available. The signaling equilibria of the game are determined by demand-based
factors and the incentives of customers to acquire information on the existing products in
the market. Among the main implications of our model is also the fact that the availability
of decision support systems that can be used by DMs through their information acquisition
processes would improve the quality of the technology being introduced in the market and
increase the firms’ probability of success.