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How do collaborative features affect scientific output? Evidences from wind power field

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  • Jiancheng Guan

    (University of Chinese Academy of Sciences)

  • Yan Yan

    (University of Chinese Academy of Sciences)

  • Jingjing Zhang

    (University of Chinese Academy of Sciences)

Abstract

The aim of this study is to examine how scientific collaborative features influence scientific collaboration networks and then affect scientific output. In order to explore the influence of scientific collaboration, we define three collaborative features: inertia, diversity and strength. The data are collected from Scopus and the Web of Science databases. Using technique for order preference by similarity to an ideal solution method, we firstly combine h-index, impact factor and SCImago journal rank to rank journals in the field of wind power. Then we construct the collaboration network of institutions and use structural equation model-partial least square to examine the relationship among collaborative features, network structure, and scientific output. The results show that collaborative diversity and strength have positive effects on scientific output, while collaborative inertia has a negative effect. Both of centrality and structural holes fully account for (mediate) the relationships between collaborative features and outputs. The findings have some important policy implications to scientific collaboration: (1) research institutions should actively participate in diverse collaborations; (2) rather than only collaborating with previous partners, they should seek more new partners; and (3) collaborative features are important antecedents of scientific networks.

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  • Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
  • Handle: RePEc:spr:scient:v:102:y:2015:i:1:d:10.1007_s11192-014-1311-x
    DOI: 10.1007/s11192-014-1311-x
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    as
    1. Danhao Zhu & Dongbo Wang & Saeed-Ul Hassan & Peter Haddawy, 2013. "Small-world phenomenon of keywords network based on complex network," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 435-442, November.
    2. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    3. 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.
    4. 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.
    5. Gautam Ahuja & Giuseppe Soda & Akbar Zaheer, 2012. "The Genesis and Dynamics of Organizational Networks," Organization Science, INFORMS, vol. 23(2), pages 434-448, April.
    6. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    7. Gangan Prathap, 2011. "The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 515-524, June.
    8. Wolfgang Glänzel & Henk F. Moed, 2002. "Journal impact measures in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 171-193, February.
    9. Wang Duo-quan & Tang Lin-hua & Liu Heng-hui & Gu Zhen-cheng & Zheng Xiang, 2013. "Application of Structural Equation Models for Elucidating the Ecological Drivers of Anopheles sinensis in the Three Gorges Reservoir," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.
    10. Herman Wold, 1980. "Model Construction and Evaluation When Theoretical Knowledge Is Scarce," NBER Chapters, in: Evaluation of Econometric Models, pages 47-74, National Bureau of Economic Research, Inc.
    11. Kamal Badar & Julie M. Hite & Yuosre F. Badir, 2013. "Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 755-775, February.
    12. Elias Sanz-Casado & J. Carlos Garcia-Zorita & Antonio Eleazar Serrano-López & Birger Larsen & Peter Ingwersen, 2013. "Renewable energy research 1995–2009: a case study of wind power research in EU, Spain, Germany and Denmark," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 197-224, April.
    13. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    14. 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.
    15. Jiancheng Guan & Nan Ma, 2009. "Structural equation model with PLS path modeling for an integrated system of publicly funded basic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 683-698, December.
    16. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    17. Ranjay Gulati & Maxim Sytch & Adam Tatarynowicz, 2012. "The Rise and Fall of Small Worlds: Exploring the Dynamics of Social Structure," Organization Science, INFORMS, vol. 23(2), pages 449-471, April.
    18. Bill McEvily & Vincenzo Perrone & Akbar Zaheer, 2003. "Trust as an Organizing Principle," Organization Science, INFORMS, vol. 14(1), pages 91-103, February.
    19. Andersen, Kristina Vaarst, 2013. "The problem of embeddedness revisited: Collaboration and market types," Research Policy, Elsevier, vol. 42(1), pages 139-148.
    20. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    21. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    22. He, Zi-Lin & Geng, Xue-Song & Campbell-Hunt, Colin, 2009. "Research collaboration and research output: A longitudinal study of 65 biomedical scientists in a New Zealand university," Research Policy, Elsevier, vol. 38(2), pages 306-317, March.
    23. 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.
    24. Maria Bordons & M. T. Fernández & Isabel Gómez, 2002. "Advantages and limitations in the use of impact factor measures for the assessment of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 195-206, February.
    25. Manzano-Agugliaro, F. & Alcayde, A. & Montoya, F.G. & Zapata-Sierra, A. & Gil, C., 2013. "Scientific production of renewable energies worldwide: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 134-143.
    26. Li Tang & Philip Shapira, 2011. "China–US scientific collaboration in nanotechnology: patterns and dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 1-16, July.
    27. Ranjay Gulati, 1999. "Network location and learning: the influence of network resources and firm capabilities on alliance formation," Strategic Management Journal, Wiley Blackwell, vol. 20(5), pages 397-420, May.
    28. Ajoy Mallik & Nripendranath Mandal, 2014. "Bibliometric analysis of global publication output and collaboration structure study in microRNA research," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2011-2037, March.
    29. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    30. 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.
    31. Abbasi, Alireza & Jaafari, Ali, 2013. "Research impact and scholars’ geographical diversity," Journal of Informetrics, Elsevier, vol. 7(3), pages 683-692.
    32. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    33. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    34. 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.
    35. 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.
    36. Declan Butler, 2008. "Free journal-ranking tool enters citation market," Nature, Nature, vol. 451(7174), pages 6-6, January.
    37. Subra Suresh, 2012. "Global challenges need global solutions," Nature, Nature, vol. 490(7420), pages 337-338, October.
    38. Eisingerich, Andreas B. & Bell, Simon J. & Tracey, Paul, 2010. "How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty," Research Policy, Elsevier, vol. 39(2), pages 239-253, March.
    39. Lee Fleming & Charles King & Adam I. Juda, 2007. "Small Worlds and Regional Innovation," Organization Science, INFORMS, vol. 18(6), pages 938-954, December.
    40. Corey C. Phelps, 2010. "A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation," Post-Print hal-00528392, HAL.
    41. Gabriele Lohmann & Daniel S Margulies & Annette Horstmann & Burkhard Pleger & Joeran Lepsien & Dirk Goldhahn & Haiko Schloegl & Michael Stumvoll & Arno Villringer & Robert Turner, 2010. "Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain," PLOS ONE, Public Library of Science, vol. 5(4), pages 1-8, April.
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