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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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    4. Anne-Sophie Fernandez & Paul Chiambaretto & Mathieu Chauvet & Juliane Engsig, 2021. "Why do MNEs both make and coopete for innovation?," Post-Print hal-03514740, HAL.
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    8. João Augusto Ferreira Freire & Eduardo Gonçalves, 2022. "Cooperation in Innovative Efforts: a Systematic Literature Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3364-3400, December.
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    14. Natália Lima Figueiredo & Cristina I. Fernandes & José Luis Abrantes, 2023. "Triple Helix Model: Cooperation in Knowledge Creation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 854-878, June.
    15. 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.
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    18. 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.
    19. Zhong, Qi & Sun, Yaowu, 2020. "The more the better? Relational governance in platforms and the role of appropriability mechanisms," Journal of Business Research, Elsevier, vol. 108(C), pages 62-73.
    20. Sangpil Yoon & Gyuhyung Kim & Yanghon Chung & Hosung Son, 2023. "Is customer involvement always beneficial for R&D efficiency? The difference between high‐tech and low‐tech industries," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1678-1688, April.
    21. Dev K. Dutta & Mary Beth Rousseau, 2019. "Alliance Experience, Industry Conditions, And External Technology Commercialisation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-24, January.
    22. Le Roy, Frédéric & Robert, Frank & Hamouti, Rizlane, 2022. "Vertical vs horizontal coopetition and the market performance of product innovation: An empirical study of the video game industry," Technovation, Elsevier, vol. 112(C).
    23. 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.
    24. Hilliard, Rachel & English, James & Coleman, Maébh, 2022. "Pro-socially motivated knowledge hiding in innovation teams," Technovation, Elsevier, vol. 116(C).
    25. Candiani, Juan Antonio & Gilsing, Victor & Mastrogiorgio, Mariano, 2022. "Technological entry in new niches: Diversity, crowding and generalism," Technovation, Elsevier, vol. 116(C).

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