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The Bell Journal of Economics
Article . 1983 . Peer-reviewed
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Technology Adoption under Imperfect Information

Authors: Reinganum, Jennifer F.;

Technology Adoption under Imperfect Information

Abstract

This paper presents a static game theoretic model of a firm's decision to adopt a technological innovation of uncertain profitability which will reduce the production cost associated with the firm's output. Given the levels of adoption costs, discount rates and expectations regarding the profitability of the innovation, we determine the (Nash equilibrium) range of initial production costs for which each firm prefers to adopt the innovation. In addition, we ask whether a high-cost or a low-cost firm will be more likely to innovate, and whether a firm will be more likely to innovate if its rival is a high-cost or a low-cost firm.

Published as Reinganum, Jennifer F. "Technology adoption under imperfect information." The Bell Journal of Economics (1983): 57-69.

Submitted - sswp407.pdf

Country
United States
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Keywords

330, Imperfect information, High cost technology, Unit costs, Technological innovation, Nash equilibrium, Production costs, Innovation adoption, Emerging technology, Nash equilibrium, Emerging technology, Technological innovation, Innovation adoption, Dominant strategy, Production costs, Game theory, High cost technology, Unit costs, Imperfect information, Dominant strategy, Game theory

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 10%
Top 10%
Average
Green
bronze