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Strategic collaboration of R&D entities for technology convergence: Exploring organizational differences within the triple helix

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  • Jeong, Seongkyoon

Abstract

Based on a contextual framework of the organizational differences between types of research and development entities, this study examines how organizational contexts affect the advent of technology convergence. It demonstrates the effects of research and development entity types and alliances using the multi-assignation analysis of technology domains and rich data on government-supported research and development programs in South Korea. The findings show that technology convergence is likely to occur when a university develops technology alone or in collaboration with another research and development actor. These results reflect the important role of incentive structure and collaboration strategies in increasing the development of converging technologies.

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  • Jeong, Seongkyoon, 2014. "Strategic collaboration of R&D entities for technology convergence: Exploring organizational differences within the triple helix," Journal of Management & Organization, Cambridge University Press, vol. 20(2), pages 227-249, March.
    • Handle: RePEc:cup:jomorg:v:20:y:2014:i:02:p:227-249_00
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    Cited by:

    1. Bicudo, Edison & Faulkner, Alex & Li, Phoebe, 2021. "Sociotechnical alignment in biomedicine: The 3D bioprinting market beyond technology convergence," Technology in Society, Elsevier, vol. 66(C).
    2. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    3. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
    5. Chen Zhu & Kazuyuki Motohashi, 2023. "Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3035-3065, May.
    6. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
    7. Rojas, Mariana Giovanna Andrade & Solis, Edgar Rogelio Ramirez & Zhu, John JianJun, 2018. "Innovation and network multiplexity: R&D and the concurrent effects of two collaboration networks in an emerging economy," Research Policy, Elsevier, vol. 47(6), pages 1111-1124.

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