新兴技术
创新者
补充资产
业务
商业模式
利润(经济学)
产业组织
知识管理
计算机科学
营销
经济
创业
新古典经济学
财务
人工智能
作者
Alfonso Gambardella,Sohvi Heaton,Elena Novelli,David J. Teece
出处
期刊:Strategy science
[Institute for Operations Research and the Management Sciences]
日期:2021-03-01
卷期号:6 (1): 75-90
被引量:29
标识
DOI:10.1287/stsc.2020.0119
摘要
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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