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“The innovation governance dilemma: Alternatives to the precautionary principle”

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  • Hemphill, Thomas A.

Abstract

This article reviews the four innovation governance approaches (the precautionary principle, responsible innovation, permissionless innovation, and the innovation principle), including definitions, important attributes, and weaknesses found in each approach, and when utilizing an affinity diagram as a tool of analysis, identifies their distinctive characteristics and common relationships. A discussion section summarizes the paper’s findings and offers insights into where there is common relationships for further possible convergence between two innovation governance approaches – responsible innovation and permissionless innovation – that conceptually share substantially more in common than they contrast with each other. For addressing this challenge, the study recommends the following policy proposals: embrace artificial intelligence/machine learning/data analytics for risk management and regulatory adaptability; consider “soft law”as an option to public regulation; and substitute corporate citizenship for corporate social responsibility.

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  • Hemphill, Thomas A., 2020. "“The innovation governance dilemma: Alternatives to the precautionary principle”," Technology in Society, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x2030751x
    DOI: 10.1016/j.techsoc.2020.101381
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    References listed on IDEAS

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    1. Genus, Audley & Iskandarova, Marfuga, 2018. "Responsible innovation: its institutionalisation and a critique," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 1-9.
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    7. Rob Lubberink & Vincent Blok & Johan Van Ophem & Onno Omta, 2017. "Lessons for Responsible Innovation in the Business Context: A Systematic Literature Review of Responsible, Social and Sustainable Innovation Practices," Sustainability, MDPI, vol. 9(5), pages 1-31, May.
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    Cited by:

    1. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    2. Švarc, Jadranka & Dabić, Marina, 2021. "Transformative innovation policy or how to escape peripheral policy paradox in European research peripheral countries," Technology in Society, Elsevier, vol. 67(C).
    3. Hemesath, Sebastian & Tepe, Markus, 2023. "Framing the approval to test self-driving cars on public roads. The effect of safety and competitiveness on citizens' agreement," Technology in Society, Elsevier, vol. 72(C).

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