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Early-stage reciprocity in sustainable scientific collaboration

Author

Listed:
  • Wang, Wei
  • Ren, Jing
  • Alrashoud, Mubarak
  • Xia, Feng
  • Mao, Mengyi
  • Tolba, Amr

Abstract

Scientific collaboration is of significant importance in tackling grand challenges and breeding innovations. Despite the increasing interest in investigating and promoting scientific collaborations, we know little about the collaboration sustainability as well as mechanisms behind it. In this paper, we set out to study the relationships between early-stage reciprocity and collaboration sustainability. By proposing and defining h-index reciprocity, we give a comprehensive statistical analysis on how reciprocity influences scientific collaboration sustainability, and find that scholars are not altruism and the key to sustainable collaboration is fairness. The unfair h-index reciprocity has an obvious negative impact on collaboration sustainability. The bigger the reciprocity difference, the less sustainable in collaboration. This work facilitates understanding sustainable collaborations and thus will benefit both individual scholar in optimizing collaboration strategies and the whole academic society in improving teamwork efficiency.

Suggested Citation

  • Wang, Wei & Ren, Jing & Alrashoud, Mubarak & Xia, Feng & Mao, Mengyi & Tolba, Amr, 2020. "Early-stage reciprocity in sustainable scientific collaboration," Journal of Informetrics, Elsevier, vol. 14(3).
    • Handle: RePEc:eee:infome:v:14:y:2020:i:3:s1751157719302779
    DOI: 10.1016/j.joi.2020.101041
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    1. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
    2. Falk, Armin & Fischbacher, Urs, 2006. "A theory of reciprocity," Games and Economic Behavior, Elsevier, vol. 54(2), pages 293-315, February.
    3. Alpizar, Francisco & Carlsson, Fredrik & Johansson-Stenman, Olof, 2008. "Anonymity, reciprocity, and conformity: Evidence from voluntary contributions to a national park in Costa Rica," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1047-1060, June.
    4. EunKyung Chung & Nahyun Kwon & Jungyeoun Lee, 2016. "Understanding scientific collaboration in the research life cycle: Bio- and nanoscientists' motivations, information-sharing and communication practices, and barriers to collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1836-1848, August.
    5. 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.
    6. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    7. Yi Bu & Ying Ding & Xingkun Liang & Dakota S. Murray, 2018. "Understanding persistent scientific collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(3), pages 438-448, March.
    8. Yin, Yian & Wang, Dashun, 2017. "The time dimension of science: Connecting the past to the future," Journal of Informetrics, Elsevier, vol. 11(2), pages 608-621.
    9. John P A Ioannidis & Kevin W Boyack & Richard Klavans, 2014. "Estimates of the Continuously Publishing Core in the Scientific Workforce," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    10. Chenwei Zhang & Yi Bu & Ying Ding & Jian Xu, 2018. "Understanding scientific collaboration: Homophily, transitivity, and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(1), pages 72-86, January.
    11. Jonathan Adams, 2013. "The fourth age of research," Nature, Nature, vol. 497(7451), pages 557-560, May.
    12. ., 2017. "Standing on the shoulders of giants," Chapters, in: Endogenous Innovation, chapter 1, pages 3-24, Edward Elgar Publishing.
    13. Luis E Cortés-Berrueco & Carlos Gershenson & Christopher R Stephens, 2016. "Traffic Games: Modeling Freeway Traffic with Game Theory," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-34, November.
    14. Berg Joyce & Dickhaut John & McCabe Kevin, 1995. "Trust, Reciprocity, and Social History," Games and Economic Behavior, Elsevier, vol. 10(1), pages 122-142, July.
    15. Amjad, Tehmina & Ding, Ying & Xu, Jian & Zhang, Chenwei & Daud, Ali & Tang, Jie & Song, Min, 2017. "Standing on the shoulders of giants," Journal of Informetrics, Elsevier, vol. 11(1), pages 307-323.
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    Cited by:

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    3. Shen, Hongquan & Xie, Juan & Ao, Weiyi & Cheng, Ying, 2022. "The continuity and citation impact of scientific collaboration with different gender composition," Journal of Informetrics, Elsevier, vol. 16(1).

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