Abstract
User acceptance of technology is essential to determine its success. The current paper incorporates the main properties of the technology acceptance models (TAMs) developed by management scholars into a pre-commitment signaling duopolistic framework, where two competing firms must decide the level of technological improvement of the products being introduced. As a result, the corresponding equilibria of the duopolistic technological games will be determined by demand-based factors, providing a novel approach and complementing the current supply-based economic and operational research models developed in the literature. The proposed model will be simulated numerically to illustrate the strategic optimality of the update process of smartphone and tablet characteristics defined by Apple and Samsung as the market developed.
Highlights
Problem statement and contributionUser acceptance of technology is essential to determine its success
The strategic decision model defined in the current paper encompasses and extends different branches of the technology diffusion literature, namely, the industrial organization one dealing with duopolistic competition settings, the operational research one on multi-criteria decision making (MCDM) and the management one following from the technology acceptance models (TAMs)
This study has highlighted the essential role played by the preferences and information acquisition incentives of decision makers (DMs) in the technological product development strategies of firms
Summary
User acceptance of technology is essential to determine its success. This is true when considering the introduction of new information technology (Dillon & Morris, 1996; Phan & Daim, 2011; Hameed, Counsell & Swift, 2012). Operational researchers and economists have generally focused their respective models in a different direction from the technology acceptance The main objective of this paper is to study the strategic behavior of firms when introducing technologically improved products in the market whose success and acceptance rely directly on the main behavioral characteristics of the potential consumers being targeted. In this regard, the main contributions of the paper can be summarized as follows:. –– It carries out numerical simulations to model the decision making process of both consumers and firms as the number of potential improvements on the products increases
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