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Bidirectional relationship between network position and knowledge creation in Scientometrics

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  • Jiancheng Guan

    (University of Chinese Academy of Sciences
    South China University of Technology)

  • Lanxin Pang

    (University of Chinese Academy of Sciences)

Abstract

Based on the 3100 papers published in the international journal Scientometrics retrieved from Web of Science database over the period 1996–2015, we utilize three-stage least squares (3SLS) to investigate the bidirectional relationship between authors’ network position and knowledge creation. Furthermore, our research is of great benefit to better understanding of the interplay of knowledge and collaboration networks on knowledge creation. The empirical results confirm that the prolific co-authorship and international co-authorship have positive and significant effects on the knowledge creation. The results from the 3SLS estimation models using the number of publications and citations as dependent variables also show that the structural holes of an author in the collaboration networks and her/his knowledge elements in knowledge networks have positive effects on her/his knowledge creation. These findings suggest that structural capital of an author and his/her knowledge elements are important influence factors of the quantity and quality of research output. The results of the models in this paper suggest that authors with better performance in knowledge creation are more likely to attract collaborators and occupy structural holes. In summary, we fill the research gap in exploring the bidirectional relationship between authors’ network positions (in terms of degree centrality and structural holes) and research output.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:1:d:10.1007_s11192-018-2673-2
    DOI: 10.1007/s11192-018-2673-2
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    1. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    2. 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.
    3. Joel A. C. Baum & Tony Calabrese & Brian S. Silverman, 2000. "Don't go it alone: alliance network composition and startups' performance in Canadian biotechnology," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 267-294, March.
    4. Anthony Goerzen & Paul W. Beamish, 2005. "The effect of alliance network diversity on multinational enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 26(4), pages 333-354, April.
    5. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    6. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    7. Simon Rodan & Charles Galunic, 2004. "More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 25(6), pages 541-562, June.
    8. Giuliani, Elisa & Morrison, Andrea & Pietrobelli, Carlo & Rabellotti, Roberta, 2010. "Who are the researchers that are collaborating with industry? An analysis of the wine sectors in Chile, South Africa and Italy," Research Policy, Elsevier, vol. 39(6), pages 748-761, July.
    9. Pei-Chun Lee & Hsin-Ning Su & Te-Yi Chan, 2010. "Assessment of ontology-based knowledge network formation by Vector-Space Model," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 689-703, December.
    10. Dutt Bharvi & K. C. Garg & Anita Bali, 2003. "Scientometrics of the international journal Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(1), pages 81-93, January.
    11. Wenjia Zhu & Jiancheng Guan, 2013. "A bibliometric study of service innovation research: based on complex network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1195-1216, March.
    12. Chien Hsiang Liao, 2011. "How to improve research quality? Examining the impacts of collaboration intensity and member diversity in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 747-761, March.
    13. Yunwei Chen & Katy Börner & Shu Fang, 2013. "Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1051-1070, June.
    14. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    15. Srikanth Paruchuri, 2010. "Intraorganizational Networks, Interorganizational Networks, and the Impact of Central Inventors: A Longitudinal Study of Pharmaceutical Firms," Organization Science, INFORMS, vol. 21(1), pages 63-80, February.
    16. Rob Kling & Geoffrey McKim, 2000. "Not just a matter of time: Field differences and the shaping of electronic media in supporting scientific communication," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(14), pages 1306-1320.
    17. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    18. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.
    19. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    20. Barry T. Hirsch, 1982. "The Interindustry Structure of Unionism, Earnings, and Earnings Dispersion," ILR Review, Cornell University, ILR School, vol. 36(1), pages 22-39, October.
    21. Gonzalez-Brambila, Claudia N. & Veloso, Francisco M. & Krackhardt, David, 2013. "The impact of network embeddedness on research output," Research Policy, Elsevier, vol. 42(9), pages 1555-1567.
    22. Akbar Zaheer & Geoffrey G. Bell, 2005. "Benefiting from network position: firm capabilities, structural holes, and performance," Strategic Management Journal, Wiley Blackwell, vol. 26(9), pages 809-825, September.
    23. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    24. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    25. András Schubert, 2002. "The Web of Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 3-20, January.
    26. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
    27. Tahereh Dehdarirad & Anna Villarroya & Maite Barrios, 2014. "Research trends in gender differences in higher education and science: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 273-290, October.
    28. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    29. Jeongsik “Jay” Lee, 2010. "Heterogeneity, Brokerage, and Innovative Performance: Endogenous Formation of Collaborative Inventor Networks," Organization Science, INFORMS, vol. 21(4), pages 804-822, August.
    30. Atul Nerkar & Srikanth Paruchuri, 2005. "Evolution of R&D Capabilities: The Role of Knowledge Networks Within a Firm," Management Science, INFORMS, vol. 51(5), pages 771-785, May.
    31. Lei Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Characteristics of international collaboration in sport sciences publications and its influence on citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 843-862, November.
    32. Leung, Ricky C., 2013. "Networks as sponges: International collaboration for developing nanomedicine in China," Research Policy, Elsevier, vol. 42(1), pages 211-219.
    33. Na Liu & Jiancheng Guan, 2015. "Dynamic evolution of collaborative networks: evidence from nano-energy research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1895-1919, March.
    34. Ash Amin & Patrick Cohendet, 2000. "Organisational Learning and Governance Through Embedded Practices," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 4(1), pages 93-116, March.
    35. Almas Heshmati & Hyesung Kim, 2011. "The R&D and productivity relationship of Korean listed firms," Journal of Productivity Analysis, Springer, vol. 36(2), pages 125-142, October.
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