Strategic Decisions of New Technology Adoption Under Asymmetric Information: A Game Theoretic Model

Decision Sciences, Vol. 34, No. 4, pp. 643-675, 2003

41 Pages Posted: 9 Apr 2004

See all articles by Kevin Zhu

Kevin Zhu

University of California, San Diego

John Weyant

Stanford University

Abstract

In this paper we explore strategic decision making in new technology adoption by utilizing economic analysis. We show how asymmetric information affects firms' decisions to adopt the technology. We do so in a two-stage game-theoretic model where the first-stage investment results in the acquisition of a new technology that, in the second stage, may give the firm a competitive advantage in the product market. We compare two information structures under which two competing firms have asymmetric information about the future performance (i.e., post-adoption costs) of the new technology. We find that equilibrium strategies under asymmetric information are quite different from those under symmetric information. Information asymmetry leads to different incentives and strategic behaviors in the technology adoption game. In contrast to conventional wisdom, our model shows that market uncertainty may actually induce firms to act more aggressively under certain conditions. We also show that having better information is not always a good thing. These results illustrate a key departure from established decision theory.

Keywords: Technology adoption, strategic decisions, asymmetric information, technology-based competition, information economics

Suggested Citation

Zhu, Kevin and Weyant, John, Strategic Decisions of New Technology Adoption Under Asymmetric Information: A Game Theoretic Model. Decision Sciences, Vol. 34, No. 4, pp. 643-675, 2003, Available at SSRN: https://ssrn.com/abstract=526522

Kevin Zhu (Contact Author)

University of California, San Diego ( email )

9500 Gilman Drive
La Jolla, CA 92093-0112
United States

HOME PAGE: http://https://rady.ucsd.edu/people/faculty/zhu/

John Weyant

Stanford University ( email )

Stanford, CA 94305
United States

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