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Knowledge convergence and organization innovation: the moderating role of relational embeddedness

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Listed:
  • Na Liu

    (Shandong Technology and Business University)

  • Jianqi Mao

    (Shandong Technology and Business University)

  • Jiancheng Guan

    (University of Chinese Academy of Sciences)

Abstract

Knowledge convergence is an important means of innovation. The study aims to explore how knowledge convergence influences innovation performance at an organizational level. Furthermore, we address the moderating role of network relational embeddedness on the innovation deriving from knowledge convergence. Our empirical analyses adopting negative binomial regression models employ patent counts and patent citations from the nanotechnology field. The findings reveal that the scientific intensity in the convergence between scientific knowledge and technological knowledge has an inverted U-shaped influence on innovation performance and that this association is flattened in organizations with high network relational diversity. Also, we find that the technological scope in convergence of technological knowledge self has an inverted U-shaped influence on innovation performance and that this association is steepened in organizations with high network relational strength. Our findings add understandings of knowledge convergence on organization innovation and also have important practical and political implications.

Suggested Citation

  • Na Liu & Jianqi Mao & Jiancheng Guan, 2020. "Knowledge convergence and organization innovation: the moderating role of relational embeddedness," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1899-1921, December.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03684-2
    DOI: 10.1007/s11192-020-03684-2
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    1. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    2. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    3. Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
    4. Jiancheng Guan & Lanxin Pang, 2018. "Bidirectional relationship between network position and knowledge creation in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 201-222, April.
    5. Hohberger, Jan, 2016. "Diffusion of science-based inventions," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 66-77.
    6. Brooks, Harvey, 1994. "The relationship between science and technology," Research Policy, Elsevier, vol. 23(5), pages 477-486, September.
    7. Nerkar, Atul & Shane, Scott, 2003. "When do start-ups that exploit patented academic knowledge survive?," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1391-1410, November.
    8. Daniel A. Levinthal & James G. March, 1993. "The myopia of learning," Strategic Management Journal, Wiley Blackwell, vol. 14(S2), pages 95-112, December.
    9. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    10. Chen, Jong-Rong & Kan, Kamhon & Tung, I-Hsuan, 2016. "Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms," Research Policy, Elsevier, vol. 45(7), pages 1449-1459.
    11. Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
    12. Sanjay K. Arora & Alan L. Porter & Jan Youtie & Philip Shapira, 2013. "Capturing new developments in an emerging technology: an updated search strategy for identifying nanotechnology research outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 351-370, April.
    13. Guan, Jiancheng & Liu, Na, 2015. "Invention profiles and uneven growth in the field of emerging nano-energy," Energy Policy, Elsevier, vol. 76(C), pages 146-157.
    14. Singh, Jasjit, 2008. "Distributed R&D, cross-regional knowledge integration and quality of innovative output," Research Policy, Elsevier, vol. 37(1), pages 77-96, February.
    15. Rosenberg, Nathan, 1963. "Technological Change in the Machine Tool Industry, 1840–1910," The Journal of Economic History, Cambridge University Press, vol. 23(4), pages 414-443, December.
    16. van Vianen, B. G. & Moed, H. F. & van Raan, A. F. J., 1990. "An exploration of the science base of recent technology," Research Policy, Elsevier, vol. 19(1), pages 61-81, February.
    17. Bruno Cassiman & Reinhilde Veugelers & Pluvia Zuniga, 2008. "In search of performance effects of (in)direct industry science links," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 611-646, August.
    18. Herbert A. Simon, 1991. "Bounded Rationality and Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 125-134, February.
    19. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
    20. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    21. Gautam Ahuja & Riitta Katila, 2004. "Where do resources come from? The role of idiosyncratic situations," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 887-907, August.
    22. M. Ann McFadyen & Matthew Semadeni & Albert A. Cannella, 2009. "Value of Strong Ties to Disconnected Others: Examining Knowledge Creation in Biomedicine," Organization Science, INFORMS, vol. 20(3), pages 552-564, June.
    23. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
    24. Melissa A. Schilling & Corey C. Phelps, 2007. "Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation," Management Science, INFORMS, vol. 53(7), pages 1113-1126, July.
    25. Belderbos, René & Cassiman, Bruno & Faems, Dries & Leten, Bart & Van Looy, Bart, 2014. "Co-ownership of intellectual property: Exploring the value-appropriation and value-creation implications of co-patenting with different partners," Research Policy, Elsevier, vol. 43(5), pages 841-852.
    26. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    27. Rost, Katja, 2011. "The strength of strong ties in the creation of innovation," Research Policy, Elsevier, vol. 40(4), pages 588-604, May.
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