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R&D cooperation and unintended innovation performance: Role of appropriability regimes and sectoral characteristics

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  • Seo, Hangyeol
  • Chung, Yanghon
  • Yoon, Hyungseok (David)

Abstract

This research empirically examines the relation between R&D cooperation and unintended innovation performance. The effects of appropriability and sectoral conditions on the unintended innovation performance in the context of R&D cooperation were also tested. Binary logistic regression was used to analyze the manufacturing firms sampled from the Korea Innovation Survey (KIS) 2012. Our estimation results show that for the high-tech focal firms under strong appropriability regime, cooperation with competitors increases the likelihood of their unintended innovation performance. For the high-tech focal firms under weak appropriability regime, cooperation with customer and user firms and universities increases the likelihood of their unintended innovation performance. For the low-tech firms under strong appropriability regime, cooperation with the customer and user firms and advisory organizations increases the likelihood of unintended innovation performance. For the low-tech firms under weak appropriability regime, cooperation with competitors and government research institutes increases the likelihood of unintended innovation performance. As a whole, the significance of this paper lies in shedding a new light on approaching the innovation performance with the notion of unintended innovation performance, which is shaped by different partner types and environmental conditions.

Suggested Citation

  • Seo, Hangyeol & Chung, Yanghon & Yoon, Hyungseok (David), 2017. "R&D cooperation and unintended innovation performance: Role of appropriability regimes and sectoral characteristics," Technovation, Elsevier, vol. 66, pages 28-42.
    • Handle: RePEc:eee:techno:v:66-67:y:2017:i::p:28-42
    DOI: 10.1016/j.technovation.2017.03.002
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    5. Eghbali, Mohammad-Ali & Rasti-Barzoki, Morteza & Safarzadeh, Soroush, 2022. "A hybrid evolutionary game-theoretic and system dynamics approach for analysis of implementation strategies of green technological innovation under government intervention," Technology in Society, Elsevier, vol. 70(C).
    6. Wei Wang & Xue-Zhou Zhao & Feng-Wen Chen & Chia-Huei Wu & Sangbing Tsai & Jiangtao Wang, 2019. "The Effect of Corporate Social Responsibility and Public Attention on Innovation Performance: Evidence from High-polluting Industries," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
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    9. AMOROSO Sara & AUDRETSCH David, 2020. "The role of gender in linking external sources of knowledge and R&D intensity," JRC Working Papers on Corporate R&D and Innovation 2020-05, Joint Research Centre.
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    19. Sommer, Daniel & Bhandari, Krishna Raj, 2022. "Internationalization of R&D and Innovation Performance in the Pharma Industry," Journal of International Management, Elsevier, vol. 28(3).
    20. Ruiz-Ortega, María J. & García-Villaverde, Pedro M. & Parra-Requena, Gloria, 2018. "How structural embeddedness leads to pioneering orientation," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 186-198.
    21. Liu, Yang & Lv, Diwei & Ying, Ying & Arndt, Felix & Wei, Jiang, 2018. "Improvisation for innovation: The contingent role of resource and structural factors in explaining innovation capability," Technovation, Elsevier, vol. 74, pages 32-41.
    22. Sáenz-Royo, Carlos & Lozano-Rojo, Álvaro, 2023. "Authoritarianism versus participation in innovation decisions," Technovation, Elsevier, vol. 124(C).
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    24. Sunyoung Park, 2019. "Identification of Overall Innovation Behavior by Using a Decision Tree: The Case of a Korean Manufacturer," Sustainability, MDPI, vol. 11(22), pages 1-54, November.
    25. Hilliard, Rachel & English, James & Coleman, Maébh, 2022. "Pro-socially motivated knowledge hiding in innovation teams," Technovation, Elsevier, vol. 116(C).

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