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

Scientometrics

Volumn 102, Issue 1, 2015, Pages 333-355

  Guan, Jiancheng ^a   Yan, Yan ^a   Zhang, Jingjing ^a  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Collaboration network; Scientific collaborative features; SEM PLS; Small world; TOPSIS; Two mode network; Wind power field

Indexed keywords

EID: 84937787577     PISSN: 01389130     EISSN: 15882861     Source Type: Journal    
DOI: 10.1007/s11192-014-1311-x     Document Type: Article

References (105)

1. Abbasi, A., Altmann, J., & Hossain, L. (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, 5(4), 594-607.
2. Abbasi, A., Chung, K. S. K., & Hossain, L. (2012a). Egocentric analysis of co-authorship network structure, position and performance. Information Processing and Management, 48(4), 671-679.
3. Abbasi, A., Hossain, L., & Leydesdorff, L. (2012b). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics, 6(3), 403-412.
4. Abbasi, A., & Jaafari, A. (2013). Research impact and scholars’ geographical diversity. Journal of Informetrics, 7(3), 683-692.
5. Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly, 45(3), 425-455.
6. Ahuja, G., Soda, G., & Zaheer, A. (2012). The genesis and dynamics of organizational networks. Organization Science, 23(2), 434-448.
7. Andersen, K. V. (2013). The problem of embeddedness revisited: Collaboration and market types. Research Policy, 42(1), 139-148.
8. Badar, K., Hite, J. M., & Badir, Y. F. (2013). Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan. Scientometrics, 94(2), 755-775.
9. Beauchamp, M. A. (1965). An improved index of centrality. Behavioral Science, 10(2), 161-163.
10. Bell, S. J., Tracey, P., & Heide, J. B. (2009). The organization of regional clusters. Academy of Management Review, 34(4), 623-642.
11. Bordons, M., Fernández, M. T., & Gómez, I. (2002). Advantages and limitations in the use of impact factor measures for the assessment of research performance. Scientometrics, 53(2), 195-206.
12. Burt, R. S. (1992). The social structure of competition. Networks and organizations: Structure, form, and action. Boston: Harvard Business School Press.
13. Burt, R. S. (2005). The social capitals of structure holes. Brokerage and Closure: An Introduction to Social Capital. New York: Oxford University Press.
14. Burt, R. S. (2007). Secondhand brokerage: Evidence on the importance of local structure for managers, bankers, and analysts. Academy of Management Journal, 50(1), 119-148.
15. Butler, D. (2008). Free journal-ranking tool enters citation market. Nature, 451(7174), 6.
16. Chen, K. H., & Guan, J. C. (2011). Mapping the innovation production process from accumulative advantage to economic outcomes: A path modeling approach. Technovation, 31(7), 336-346.
17. Chen, S. H., Huang, M. H., & Chen, D. Z. (2013). Driving factors of external funding and funding effects on academic innovation performance in university-industry-government linkages. Scientometrics, 94(3), 1077-1098.
18. Eagle, N., Macy, M., & Claxton, R. (2010). Network diversity and economic development. Science, 328(5981), 1029-1031.
19. Egghe, L. (2006). How to improve the h-index? The Scientist, 20(3), 14.
20. Egghe, L., & Rousseau, R. (2006). An informetric model for the Hirsch-index. Scientometrics, 69(1), 121-129.
21. Eisingerich, A. B., Bell, S. J., & Tracey, P. (2010). How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty. Research Policy, 39(2), 239-253.
22. Everett, M. G., & Borgatti, S. P. (2012). Categorical attribute based centrality: E-I and G-F centrality. Social Networks, 34(4), 562-569.
23. Flap, H., & Volker, B. (2001). Goal specific social capital and job satisfaction: Effects of different types of networks on instrumental and social aspects of work. Social networks, 23(4), 297-320.
24. Fleming, L., King, C., & Juda, A. I. (2007). Small worlds and regional innovation. Organization Science, 18(6), 938-954.
25. Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452.
26. Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35-41.
27. Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social networks, 1(3),215-239.
28. Garfield, E. (1964). Science citation index: A new dimension in indexing. Science, 144(3619), 649-654.
29. Glänzel, W., & Moed, H. F. (2002). Journal impact measures in bibliometric research. Scientometrics, 53(2), 171-193.
30. Goerzen, A., & Beamish, P. W. (2005). The effect of alliance network diversity on multinational enterprise performance. Strategic Management Journal, 26(4), 333-354.
31. Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380.
32. Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17, 109-122.
33. Grice, E. A., Kong, H. H., Conlan, S., Deming, C. B., Davis, J., Young, A. C., et al. (2009). Topographical and temporal diversity of the human skin microbiome. Science, 324(5931), 1190-1192.
34. Gu, Z., & Wu, J. S. (2011). Earnings skewness and analyst forecast bias. Journal of Accounting and Economics, 35(1), 5-29.
35. Guan, J. C., & Ma, N. (2009). Structural equation model with PLS path modeling for an integrated system of publicly funded basic research. Scientometrics, 81(3), 683-698.
36. Guan, J. C., & Zhao, Q. J. (2013). The impact of university-industry collaboration networks on innovation in nanobiopharmaceuticals. Technological Forecasting and Social Change, 80(7), 1271-1286.
37. Gulati, R. (1999). Network location and learning: The influence of network resources and firm capabilities on alliance formation. Strategic Management Journal, 20(5), 397-420.
38. Gulati, R., & Gargiulo, M. (1999). Where do interorganizational networks come from? American Journal of Sociology, 104(5), 1439-1493.
39. Gulati, R., Sytch, M., & Tatarynowicz, A. (2012). The rise and fall of small worlds: Exploring the dynamics of social structure. Organization Science, 23(2), 449-471.
40. Hair, J. F., Anderson, R. E., Tatham, R. L., & William, C. (1998). Multivariate Data Analysis. Upper Saddle River: Prentice Hall.
41. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.
42. Hannan, M. T., & Freeman, J. (1984). Structural inertia and organizational change. American Sociological Review, 27(1), 149-164.
43. He, Z.-L., Geng, X.-S., & Campbell-Hunt, C. (2009). Research collaboration and research output: A longi- tudinal study of 65 biomedical scientists in a New Zealand university. Research Policy, 38(2), 306-317.
44. Hicks, B. M., & Patrick, C. J. (2006). Psychopathy and negative emotionality: analyses of suppressor effects reveal distinct relations with emotional distress, fearfulness, and anger-hostility. Journal of Abnormal Psychology, 115(2), 276.
45. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569.
46. Hirsch, J. E. (2010). An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85(3), 741-754.
47. Hodgkinson, G. P., & Wright, G. (2002). Confronting strategic inertia in a top management team: Learning from failure. Organization Studies, 23(6), 949-977.
48. Hopkins, W. E., Mallette, P., & Hopkins, S. A. (2013). Proposed factors influencing strategic inertia/ strategic renewal in organizations. Academy of Strategic Management Journal, 12(2), 77-94.
49. Hoskisson, R. E., Hitt, M. A., Johnson, R. A., & Grossman, W. (2002). Conflicting voices: The effects of institutional ownership heterogeneity and internal governance on corporate innovation strategies. Academy of Management Journal, 45(4), 697-716.
50. Huxham, C., & Vangen, S. (2004). Doing things collaboratively: Realizing the advantage or succumbing to inertia? Organizational Dynamics, 33(2), 190-201.
51. Huxham, C., & Vangen, S. (2005). Managing to collaborate: The theory and practice of collaborative advantage. New York: Routledge.
52. Joreskog, K. G. (1970). A general method for analysis of covariance structures. Biometrika, 57(2), 239-251.
53. Katila, R., & Ahuja, G. (2002). Something old, something new: A longitudinal study of search behavior and new product introduction. Academy of Management Journal, 45(6), 1183-1194.
54. Kelly, D., & Amburgey, T. L. (1991). Organizational inertia and momentum: A dynamic model of strategic change. Academy of Management Journal, 34(3), 591-612.
55. Kenis, P., & Knoke, D. (2002). How organizational field networks shape interorganizational tie-formation rates. Academy of Management Review, 27(2), 275-293.
56. Kim, S. K., Arthurs, J. D., Sahaym, A., & Cullen, J. B. (2013). Search behavior of the diversified firm: The impact of fit on innovation. Strategic Management Journal, 34(8), 999-1009.
57. Kim, T. Y., Oh, H., & Swaminathan, A. (2006). Framing interorganizational network change: A network inertia perspective. Academy of Management Review, 31(3), 704-720.
58. Klein, K. J., Lim, B. C., Saltz, J. L., & Mayer, D. M. (2004). How do they get there? An examination of the antecedents of centrality in team networks. Academy of Management Journal, 47(6), 952-963.
59. Krackhardt, D. (1990). Assessing the political landscape: Structure, cognition, and power in organizations. Administrative Science Quarterly, 35(2), 342-369.
60. Krackhardt, D. (1992). The strength of strong ties: The importance of philos in organizations. Networks and organizations: Structure, form, and action. Boston: Harvard Business School Press.
61. Lee, J. (2010). Heterogeneity, brokerage, and innovative performance: Endogenous formation of collabo- rative inventor networks. Organization Science, 21(4), 804.
62. Leydesdorff, L., Carley, S., & Rafols, I. (2013). Global Maps of Science based on the new web-of-science categories. Scientometrics, 94(2), 589-593.
63. Li, E. Y., Liao, C. H., & Yen, H. R. (2013). Co-authorship networks and research impact: A social capital perspective. Research Policy, 42(9), 1515-1530.
64. Li, S. X., & Rowley, T. J. (2002). Inertia and evaluation mechanisms in interorganizational partner selection: Syndicate formation among US investment banks. Academy of Management Journal, 45(6), 1104-1119.
65. Liao, S. H., Fei, W. C., & Liu, C. T. (2008). Relationships between knowledge inertia, organizational learning and organization innovation. Technovation, 28(4), 183-195.
66. Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., et al. (2010). Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain. PLoS One, 5(4), e10232.
67. Mallik, A., & Mandal, N. (2014). Bibliometric analysis of global publication output and collaboration structure study in microRNA research. Scientometrics, 98(3), 2011-2037.
68. Manzano-Agugliaro, F., Alcayde, A., Montoya, F., Zapata-Sierra, A., & Gil, C. (2013). Scientific production of renewable energies worldwide: An overview. Renewable and Sustainable Energy Reviews, 18, 134-143.
69. McEvily, B., Perrone, V., & Zaheer, A. (2003). Trust as an organizing principle. Organization Science, 14(1), 91-103.
70. Miller, D. J., Fern, M. J., & Cardinal, L. B. (2007). The use of knowledge for technological innovation within diversified firms. Academy of Management Journal, 50(2), 307-325.
71. Newman, M. E. (2002). Assortative mixing in networks. Physical Review Letters, 89(20), 208701.
72. Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: bringing order to the web. Stanford InfoLab: Technical Report.
73. Pandza, K., Wilkins, T. A., & Alfoldi, E. A. (2011). Collaborative diversity in a nanotechnology innovation system: Evidence from the EU Framework Programme. Technovation, 31(9), 476-489.
74. Phelps, C. C. (2010). A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation. Academy of Management Journal, 53(4), 890-913.
75. Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116-145.
76. Prathap, G. (2011). The energy-exergy-entropy (or EEE) sequences in bibliometric assessment. Sciento- metrics, 87(3), 515-524.
77. Rafols, I., & Meyer, M. (2010). Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience. Scientometrics, 82(2), 263-287
78. Ramasco, J. J. (2007). Social inertia and diversity in collaboration networks. The European Physical Journal Special Topics, 143(1), 47-50.
79. Ramasco, J. J., & Morris, S. A. (2006). Social inertia in collaboration networks. Physical Review E, 73(1), 016122.
80. Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12(4), 502-517.
81. Sabidussi, G. (1966). The centrality index of a graph. Psychometrika, 31(4), 581-603.
82. Sandstrom, A., & Carlsson, L. (2008). The performance of policy networks: The relation between network structure and network performance. Policy Studies Journal, 36(4), 497-524.
83. Sanz-Casado, E., Garcia-Zorita, J. C., Serrano-López, A. E., Larsen, B., & Ingwersen, P. (2013). Renewable energy research 1995-2009: A case study of wind power research in EU, Spain, Germany and Den- mark. Scientometrics, 95(1), 197-224.
84. Schilling, M. A., & Phelps, C. C. (2007). Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Science, 53(7), 1113-1126.
85. Scott, J., & Carrington, P. J. (2011). The SAGE handbook of social network analysis. Thousand Oaks: SAGE publications.
86. Shipilov, A. V., & Li, S. X. (2008). Can you have your cake and eat it too? Structural holes’ influence on status accumulation and market performance in collaborative networks. Administrative Science Quarterly, 53(1), 73-108.
87. Skilton, P. F., & Dooley, K. J. (2010). The effects of repeat collaboration on creative abrasion. Academy of Management Review, 35(1), 118-134.
88. Srivastava, M. K., & Gnyawali, D. R. (2011). When do relational resources matter? Leveraging portfolio technological resources for breakthrough innovation. Academy of Management Journal, 54(4),797-810.
89. Stefan, G., & Jean-Daniel, P. (2013). Top wind markets 2012: Diversity in big five markets. World wind power energy report, 2012, 7-8.
90. Suresh, S. (2012). Research funding: Global challenges need global solutions. Nature, 490(7420), 337-338.
91. Sytch, M., & Tatarynowicz, A. (2013). Friends and foes: The dynamics of dual social structures. Academy of Management Journal. doi:10.5465/amj.2011.0979.
92. Tang, L., & Shapira, P. (2011). China-US scientific collaboration in nanotechnology: Patterns and dynamics. Scientometrics, 88(1), 1-16.
93. Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159-205.
94. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
95. Wang, C., Rodan, S., Fruin, M., & Xu, X. (2013a). Knowledge networks, collaboration networks, and exploratory innovation. Academy of Management Journal, 56(6), 1511-1515.
96. Wang, D. Q., Tang, L. H., Li, H. H., Gu, Z. C., & Zheng, X. (2013b). Application of structural equation models for elucidating the ecological drivers of Anopheles Sinensis in the three Gorges Reservoir. PLoS One, 8(7), e68766.
97. Watts, D. J. (1999). Small worlds: the dynamics of networks between order and randomness. New Jersey: Princeton university press.
98. Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440-442.
99. Whittington, K. B., Owen-Smith, J., & Powell, W. W. (2009). Networks, propinquity, and innovation in knowledge-intensive industries. Administrative Science Quarterly, 54(1), 90-122.
100. Wold, H. (1980). Model construction and evaluation when theoretical knowledge is scarce. Evaluation of econometric models. Salt Lake City: Academic Press.
101. Wold, H. (1985). Partial least squares. Encyclopedia of statistical sciences. New York: Wiley.
102. Wu, S., Huang, Z., & Zhong, W. (2013). Does inertia matter for parts manufacturers’ innovation? Scientometrics,. doi:10.1007/s11192-013-1191-5.
103. Zaheer, A., Gozubuyuk, R., & Milanov, H. (2010). It’s the connections: The network perspective in interorganizational research. The Academy of Management Perspectives, 24(1), 62-77.
104. Zaheer, A., & Soda, G. (2009). Network evolution: The origins of structural holes. Administrative Science Quarterly, 54(1), 1-31.
105. Zhu, D., Wang, D., Hassan, S.-U., & Haddawy, P. (2013). Small-world phenomenon of keywords network based on complex network. Scientometrics, 97(2), 435-442.