3.8 Article

Profiting from Enabling Technologies?

期刊

STRATEGY SCIENCE
卷 6, 期 1, 页码 75-90

出版社

INFORMS
DOI: 10.1287/stsc.2020.0119

关键词

profiting from innovation; enabling technologies; general-purpose technologies; appropriability

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This paper explores how to profit from enabling technologies, which is fundamentally different from profiting from less-enabling technologies. It provides empirical evidence to support this distinction and offers perspectives on appropriate business models and public policy implications for these technologies.
How to profit from innovation has been an important question for both innovation scholars and practitioners over the years. It is certainly a relevant question for all types of technological innovation, including emerging ones. David J. Teece's profiting from innovation (PFI) framework [Teece DJ (1986) Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Res. Policy 15(6): 285-305.] sets forth a theory of the relevant contingencies. However, Teece's framework focuses on technologies with applications in specific domains. We focus on the question of how to profit from enabling technologies: technologies that are applicable across multiple domains. We argue that capturing value in such circumstances is fundamentally different from profiting from less-enabling technologies and raises new issues with respect to the relevant business models and public policies. This paper's contribution is threefold. It formally revises and extends the original PFI framework to include the case of enabling technologies, it provides empirical evidence to support the distinction between profiting from enabling and profiting from narrower discrete technologies, and it generates perspectives on the appropriate business models for these technologies and discusses related public policy implications, in light of the fact that the share of the benefits the innovator can capture is likely to be even smaller for enabling than for discrete technologies.

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