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Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India

Author

Listed:
  • Jyoti Paswan

    (Banaras Hindu University)

  • Vivek Kumar Singh

    (Banaras Hindu University)

  • Mousumi Karmakar

    (Banaras Hindu University
    University of Petroleum & Energy Studies)

  • Prashasti Singh

    (Banaras Hindu University
    University of Petroleum & Energy Studies)

Abstract

Collaboration in scientific research is believed to produce more useful and impactful research. The collaboration may involve multiple researchers from one institution or researchers from different institutions. Many times, such collaborations involve institutions belonging to different categories (say University, Industry or Government). This paper attempts to analyse the University–Industry–Government collaboration in research to find out whether such collaborated research outputs attract higher bibliometric and altmetric impact. Research output data of Indian institutions for the period 2010–2018 obtained from Web of Science database is used to demonstrate the analysis. The institutions are programmatically and manually tagged into one of the three categories (University, Industry or Government) depending on their type, and the research output involving different kinds of collaboration are identified and analysed. The results indicate that research papers involving University–Industry–Government collaboration do not differ significantly in terms of citations as compared to non-collaborated papers. However, an advantage in terms of social media mentions is found for different types of University-Industry-Government collaborated papers. Collaboration between U and I category entities, G and I category entities and the UIG collaboration is seen to get advantage in terms of mentions as compared to papers that do not involve such collaboration. Probable reasons for the observed patterns and implications of the results are discussed towards the end of the paper.

Suggested Citation

  • Jyoti Paswan & Vivek Kumar Singh & Mousumi Karmakar & Prashasti Singh, 2022. "Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6063-6082, November.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:11:d:10.1007_s11192-022-04508-1
    DOI: 10.1007/s11192-022-04508-1
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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. Ali Gazni & Fereshteh Didegah, 2011. "Investigating different types of research collaboration and citation impact: a case study of Harvard University’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 251-265, May.
    3. Fred Y. Ye & Susan S. Yu & Loet Leydesdorff, 2013. "The Triple Helix of university‐industry‐government relations at the country level and its dynamic evolution under the pressures of globalization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(11), pages 2317-2325, November.
    4. Bruneel, Johan & D'Este, Pablo & Salter, Ammon, 2010. "Investigating the factors that diminish the barriers to university-industry collaboration," Research Policy, Elsevier, vol. 39(7), pages 858-868, September.
    5. Lutz Bornmann, 2017. "Is collaboration among scientists related to the citation impact of papers because their quality increases with collaboration? An analysis based on data from F1000Prime and normalized citation scores," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 1036-1047, April.
    6. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    7. Inzelt, Annamaria, 2004. "The evolution of university-industry-government relationships during transition," Research Policy, Elsevier, vol. 33(6-7), pages 975-995, September.
    8. Bodas Freitas, Isabel Maria & Marques, Rosane Argou & Silva, Evando Mirra de Paula e, 2013. "University–industry collaboration and innovation in emergent and mature industries in new industrialized countries," Research Policy, Elsevier, vol. 42(2), pages 443-453.
    9. Markus Perkmann & Kathryn Walsh, 2009. "The two faces of collaboration: impacts of university-industry relations on public research," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 18(6), pages 1033-1065, December.
    10. Jungwon Yoon & Han Woo Park, 2017. "Triple helix dynamics of South Korea’s innovation system: a network analysis of inter-regional technological collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 989-1007, May.
    11. Loet Leydesdorff & Martin Meyer, 2003. "The Triple Helix of university-industry-government relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 191-203, October.
    12. Mike Thelwall, 2018. "Early Mendeley readers correlate with later citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1231-1240, June.
    13. Franceschet, Massimo & Costantini, Antonio, 2010. "The effect of scholar collaboration on impact and quality of academic papers," Journal of Informetrics, Elsevier, vol. 4(4), pages 540-553.
    14. Saeed-Ul Hassan & Mubashir Imran & Uzair Gillani & Naif Radi Aljohani & Timothy D. Bowman & Fereshteh Didegah, 2017. "Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1037-1057, November.
    15. Louis-Michel Lebeau & Marie-Claude Laframboise & Vincent Larivière & Yves Gingras, 2008. "The effect of university–industry collaboration on the scientific impact of publications: the Canadian case, 1980–2005," Research Evaluation, Oxford University Press, vol. 17(3), pages 227-232, September.
    16. Stefanie Haustein & Isabella Peters & Cassidy R. Sugimoto & Mike Thelwall & Vincent Larivière, 2014. "Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 656-669, April.
    17. Sujin Choi & Joshua SungWoo Yang & Han Woo Park, 2015. "The triple helix and international collaboration in science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(1), pages 201-212, January.
    18. Ankrah, Samuel & AL-Tabbaa, Omar, 2015. "Universities–industry collaboration: A systematic review," Scandinavian Journal of Management, Elsevier, vol. 31(3), pages 387-408.
    19. Ping Zhou & Robert Tijssen & Loet Leydesdorff, 2016. "University-Industry Collaboration in China and the USA: A Bibliometric Comparison," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.
    20. Mousumi Karmakar & Sumit Kumar Banshal & Vivek Kumar Singh, 2020. "Does presence of social media plugins in a journal website result in higher social media attention of its research publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2103-2143, September.
    21. Juan Jesus Arenas & Domingo González, 2018. "Technology Transfer Models and Elements in the University-Industry Collaboration," Administrative Sciences, MDPI, vol. 8(2), pages 1-17, June.
    22. Guan, Jiancheng & Zhao, Qingjun, 2013. "The impact of university–industry collaboration networks on innovation in nanobiopharmaceuticals," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1271-1286.
    23. Jiann-wien Hsu & Ding-wei Huang, 2011. "Correlation between impact and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 317-324, February.
    24. Lutz Bornmann & Robin Haunschild, 2018. "Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-12, May.
    25. 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.
    26. Thelwall, Mike & Nevill, Tamara, 2018. "Could scientists use Altmetric.com scores to predict longer term citation counts?," Journal of Informetrics, Elsevier, vol. 12(1), pages 237-248.
    27. Irene Ramos-Vielba & Manuel Fernández-Esquinas & Elena Espinosa-de-los-Monteros, 2010. "Measuring university–industry collaboration in a regional innovation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 649-667, September.
    28. Fan-Chuan Tseng & Mu-Hsuan Huang & Dar-Zen Chen, 2020. "Factors of university–industry collaboration affecting university innovation performance," The Journal of Technology Transfer, Springer, vol. 45(2), pages 560-577, April.
    29. 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.
    30. Lutz Bornmann, 2015. "Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1123-1144, June.
    31. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
    32. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
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