IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v14y2020i2s1751157719304122.html
   My bibliography  Save this article

The role of dyadic social capital in enhancing collaborative knowledge creation

Author

Listed:
  • Tu, Jing

Abstract

Despite general agreement on the importance of social capital in individual knowledge creation, little is known concerning the role of dyadic social capital in collaborative knowledge creation. This study proposes a classification of dyadic social capital using two-dimensional matrix and investigates their roles in enhancing collaborative knowledge creation. It is found that the dyads who have strong dyadic tie strength while taking advantage of their dyadic bridging social capitals both in the ego network and global network come up with more high-impact knowledge. This study also challenges the statement that an inverted U-shaped relationship between dyadic tie strength and knowledge creation found in previous literatures, and indicates dyadic structure hole serving as effective moderating effect makes the quadratic effect disappear and catalyzes the strength of strong tie.

Suggested Citation

  • Tu, Jing, 2020. "The role of dyadic social capital in enhancing collaborative knowledge creation," Journal of Informetrics, Elsevier, vol. 14(2).
    • Handle: RePEc:eee:infome:v:14:y:2020:i:2:s1751157719304122
    DOI: 10.1016/j.joi.2020.101034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157719304122
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2020.101034?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    2. Banal-Estañol, Albert & Jofre-Bonet, Mireia & Lawson, Cornelia, 2015. "The double-edged sword of industry collaboration: Evidence from engineering academics in the UK," Research Policy, Elsevier, vol. 44(6), pages 1160-1175.
    3. Nomaler, Önder & Frenken, Koen & Heimeriks, Gaston, 2013. "Do more distant collaborations have more citation impact?," Journal of Informetrics, Elsevier, vol. 7(4), pages 966-971.
    4. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    5. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    6. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.
    7. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    8. Jarle Aarstad & Sven A. Haugland & Arent Greve, 2010. "Performance Spillover Effects in Entrepreneurial Networks: Assessing a Dyadic Theory of Social Capital," Entrepreneurship Theory and Practice, , vol. 34(5), pages 1003-1020, September.
    9. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    10. 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.
    11. Albert Banal-Estañol & Mireia Jofre-Bonet & Cornelia Meissner, 2008. "Theimpact of industry collaboration on research: Evidence from engineering academics in the UK," Economics Working Papers 1190, Department of Economics and Business, Universitat Pompeu Fabra, revised Aug 2010.
    12. Whittington, Kjersten Bunker, 2018. "“A tie is a tie? Gender and network positioning in life science inventor collaboration”," Research Policy, Elsevier, vol. 47(2), pages 511-526.
    13. Nielsen, Bo Bernhard, 2005. "The role of knowledge embeddedness in the creation of synergies in strategic alliances," Journal of Business Research, Elsevier, vol. 58(9), pages 1194-1204, September.
    14. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    15. Manuel E. Sosa, 2011. "Where Do Creative Interactions Come From? The Role of Tie Content and Social Networks," Organization Science, INFORMS, vol. 22(1), pages 1-21, February.
    16. 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.
    17. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    18. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    19. Lee, Yong S, 2000. "The Sustainability of University-Industry Research Collaboration: An Empirical Assessment," The Journal of Technology Transfer, Springer, vol. 25(2), pages 111-133, June.
    20. 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.
    21. Ali Gazni & Mike Thelwall, 2016. "The citation impact of collaboration between top institutions: A temporal analysis," Research Evaluation, Oxford University Press, vol. 25(2), pages 219-229.
    22. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
    23. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    24. David Dekker & David Krackhardt & Tom Snijders, 2007. "Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 563-581, December.
    25. Nomaler, Önder & Frenken, Koen & Heimeriks, Gaston, 2013. "Do more distant collaborations have more citation impact?," Journal of Informetrics, Elsevier, vol. 7(4), pages 966-971.
    26. Rost, Katja, 2011. "The strength of strong ties in the creation of innovation," Research Policy, Elsevier, vol. 40(4), pages 588-604, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lei Wang & Shuo Yu & Falih Gozi Febrinanto & Fayez Alqahtani & Tarek E. El-Tobely, 2022. "Fairness-Aware Predictive Graph Learning in Social Networks," Mathematics, MDPI, vol. 10(15), pages 1-19, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    2. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    3. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    4. Zhang, Ningning & You, Dingyi & Tang, Le & Wen, Ke, 2023. "Knowledge path dependence, external connection, and radical inventions: Evidence from Chinese Academy of Sciences," Research Policy, Elsevier, vol. 52(4).
    5. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    6. Zhang, Yi & Chen, Kaihua, 2022. "Network growth dynamics: The simultaneous interaction between network positions and research performance of collaborative organisations," Technovation, Elsevier, vol. 115(C).
    7. Ben Zhang & Xiaohong Wang, 2017. "Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 257-277, October.
    8. Belkhouja, Mustapha & Yoon, Hyungseok (David), 2018. "How does openness influence the impact of a scholar’s research? An analysis of business scholars’ citations over their careers," Research Policy, Elsevier, vol. 47(10), pages 2037-2047.
    9. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
    10. Lin, Jun-You, 2017. "Balancing industry collaboration and academic innovation: The contingent role of collaboration-specific attributes," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 216-228.
    11. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    12. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    13. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.
    14. 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.
    15. Abbasi, Alireza & Jaafari, Ali, 2013. "Research impact and scholars’ geographical diversity," Journal of Informetrics, Elsevier, vol. 7(3), pages 683-692.
    16. Wang, Jian & Shibayama, Sotaro, 2022. "Mentorship and creativity: Effects of mentor creativity and mentoring style," Research Policy, Elsevier, vol. 51(3).
    17. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    18. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2015. "An evaluation of collaborative research in a college of engineering," Journal of Informetrics, Elsevier, vol. 9(3), pages 577-590.
    19. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    20. Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 85-126.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:14:y:2020:i:2:s1751157719304122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.