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How knowledge diffuses across countries: a case study in the field of management

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Abstract

This study introduces nation diffusion breadth and nation diffusion intensity by adapting the notions of field diffusion breadth and field diffusion intensity as defined by Liu and Rousseau, and a variation on the total cited influence indicator introduced by Hu et al. Knowledge diffusion across countries in the field of management is then analyzed as a case study. Main countries in the field of management studies are considered as centers in their own ego-centered citation networks. The three indicators mentioned above are then calculated for these ego-centered citation networks. They measure the scientific impact each of these countries has on other nations. A general picture of the knowledge diffusion process is given by the three indicators at the country level over four periods 1992–1996, 1997–2001, 2002–2006, and 2007–2011. The validity of the proposed indicators is verified by the calculated results.

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References

  • Bar-Ilan, J. (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics, 2, 1–52.

    Article  Google Scholar 

  • Bettencourt, L. M. A., Cinrón-Arias, A., Kaiser, D. I., & Castillo-Chávez, C. (2006). The power of a good idea: quantitative modeling of the spread of ideas from epidemiological models. Physica A, 364, 513–536.

    Article  Google Scholar 

  • Bettencourt, L., Kaiser, D., Kaur, J., Castillo-Chávez, C., & Wojick, D. (2008). Population modeling of the emergence and development of scientific fields. Scientometrics, 75(3), 495–518.

    Article  Google Scholar 

  • Breschi, S., & Lissoni, F. (2004). Knowledge networks from patent data. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research. Dordrecht: Kluwer.

    Google Scholar 

  • Chen, C., & Hicks, D. (2004). Tracing knowledge diffusion. Scientometrics, 59(2), 199–211.

    Article  Google Scholar 

  • De Nooy, W., Mrvar, A., & Batagelj, V. (2005). Exploratory network analysis with Pajek. New York: Cambridge University Press.

    Book  Google Scholar 

  • Egghe, L. (2005). Journal diffusion factors and their mathematical relations with the number of citations and with the impact factor. In P. Ingwersen & B. Larsen (Eds.), Proceedings of ISSI 2005 (pp. 109–120). Stockholm: Karolinska University Press.

    Google Scholar 

  • Fleming, L. (2001). Recombinant uncertainty in technological search. Management Science, 47(1), 117–132.

    Article  Google Scholar 

  • Frandsen, T. F. (2004). Journal diffusion factors: a measure of diffusion? Aslib Proceedings, 56(1), 5–11.

    Article  Google Scholar 

  • Frandsen, T. F., Rousseau, R., & Rowlands, I. (2006). Diffusion factors. Journal of Documentation, 62(1), 58–72.

    Article  Google Scholar 

  • Gao, X., & Guan, J. C. (2012). Network model of knowledge diffusion. Scientometrics, 90, 749–762.

    Article  Google Scholar 

  • Genuis, S. K. (2006). Exploring the role of medical and consumer literature in the diffusion of information related to hormone therapy for menopausal Women. Journal of the American Society for Information Science and Technology, 57(7), 974–988.

    Article  Google Scholar 

  • Hu, X. J., Rousseau, R., & Chen, J. (2011). On the definition of forward and backward citation generations. Journal of Informetrics, 5, 27–36.

    Article  Google Scholar 

  • Hu, X. J., Rousseau, R., & Chen, J. (2012). Structural indicators in citation networks. Scientometrics, 91, 451–460.

    Article  Google Scholar 

  • Hummon, N. P., & Doreian, P. (1989). Connectivity in a citation network: the development of DNA theory. Social Networks, 11, 39–63.

    Article  Google Scholar 

  • Kiss, I. Z., Broom, M., Craze, P. G., & Rafols, I. (2010). Can epidemic models describe the diffusion of topics across disciplines? Journal of Informetrics, 4, 74–82.

    Article  Google Scholar 

  • Lambiotte, R., & Panzarasa, P. (2009). Communities, knowledge creation, and information diffusion. Journal of Informetrics, 3, 180–190.

    Article  Google Scholar 

  • Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology, 60(2), 348–362.

    Article  Google Scholar 

  • Liu, X., Kaza, S., Zhang, P. Z., & Chen, H. C. (2011). Determining inventor status and its effect on knowledge diffusion: a study on nanotechnology literature from China, Russia, and India. Journal of the American Society for Information Science and Technology, 62(6), 1166–1176.

    Article  Google Scholar 

  • Liu, Y. X., & Rousseau, R. (2010). Knowledge diffusion through publications and citations: a case study using ESI-Fields as unit of diffusion. Journal of the American Society for Information Science and Technology, 61(2), 340–351.

    Google Scholar 

  • Ma, N., Guan, J. C., & Zhao, Y. (2008). Bringing PageRank to the citation analysis. Information Processing and Management, 44, 800–810.

    Article  Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.

    Google Scholar 

  • Rowlands, I. (2002). Journal diffusion factor: a new approach to measuring research influence. Aslib Proceedings, 54(2), 77–84.

    Article  Google Scholar 

  • Valente, T. W. (1995). Network models of the diffusion of innovations. Cresskill: Hampton Press.

    Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social network analysis. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Zhang, L., Thijs, B., & Glänzel, W. (2011). The diffusion of H-related literature. Journal of Informetrics, 5, 583–593.

    Article  Google Scholar 

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Acknowledgments

This study is supported by a grant from National Natural Science Foundation of China (no. 71373254). The authors wish to thank Professor Ronald Rousseau for his great guidance, constructive suggestions and careful English corrections of the article, which significantly improved the quality of the paper.

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Correspondence to Jiancheng Guan.

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J. Guan and W. Zhu are contributed equally to this paper.

Appendix

Appendix

See Tables 2, 3, 4 and 5.

Table 2 The matrix of country-to-country cross-citations over the period 1992–1996
Table 3 The matrix of country-to-country cross-citations over the period 1997–2001
Table 4 The matrix of country-to-country cross-citations over the period 2002–2006
Table 5 The matrix of country-to-country cross-citations over the period 2007–2011

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Guan, J., Zhu, W. How knowledge diffuses across countries: a case study in the field of management. Scientometrics 98, 2129–2144 (2014). https://doi.org/10.1007/s11192-013-1134-1

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