Skip to main content
Log in

International differences of productivity in scholarly management knowledge

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Using a dataset of refereed conference papers, this work explores the determinants of academic production in the field of management. The estimation of a count data model shows that the countries’ level of economic development and their economy size have a positive and highly significant effect on scholarly management knowledge production. The linguistic variable (English as official language), which has been cited by the literature as an important factor facilitating the participation in the international scientific arena, has also a positive and statistically significant effect.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Academy of Management (2007), AOM 2007 Annual Meeting Program, http://program.aomonline.org/2007/pdf/AOM_2007_Annual_Meeting_Program.pdf (accessed July 1, 2007).

  • Alvarez, J. L. (Ed.) (1998), The Diffusion and Consumption of Business Knowledge, St. Martin’s Press, New York.

    Google Scholar 

  • Bajnar, O., M. Kipping (Eds) (1998), The Americanization of European Business: The Marshall Plan and the Transfer of US Management Models, Routledge, London.

    Google Scholar 

  • Baruch, Y. (2001), Global or North American? A geographical based comparative analysis of publications in top management journals, International Journal of Cross Cultural Management, 1: 109–126.

    Article  MathSciNet  Google Scholar 

  • CIA (2007), CIA World Factbook 2007, https://www.cia.gov/library/publications/the-world-factbook (accessed November 1, 2007).

  • Cameron, C., P. Trivedi (1996), Count data models for financial data, In: G. S. Maddala, C. R. Rao (Ed.), Handbook of Statistics, Vol. 14, Statistical Methods in Finance, North-Holland, Amsterdam, pp. 363–392.

    Google Scholar 

  • Engwall, L. (1996), The vikings versus the world An examination of Nordic business research, Scandinavian Journal of Management, 12: 425–436.

    Article  Google Scholar 

  • Engwall, L. (1998). Research note: Asterix in Disneyland. Management scholars from France on the world stage, Organization Studies 19: 863–881.

    Article  Google Scholar 

  • Engwall, L. (2007), The anatomy of management education, Scandinavian Journal of Management, 23: 4–35.

    Article  Google Scholar 

  • Greene, W. (1997), Econometric Analysis, 3rd. ed., Prentice Hall, Upper Saddle River, NJ.

    Google Scholar 

  • Guillén, M. (1994), Models of Management: Work, Authority and Organization in a Comparative Perspective, University of Chicago Press, Chicago, IL.

    Google Scholar 

  • Hicks, D. (2004), The four literatures of Social Science, In: Handbook of Quantitative Science and Technology Research, H. Moed, W. Glänzel, U. Schmoch (Eds), Kluwer, Dordrecht, pp. 473–495.

    Google Scholar 

  • Hodgson, G., H. Rothman (1999), The editors and authors of economics journals: A case of institutional oligopoly?, The Economic Journal, 109: F165–F186.

    Article  Google Scholar 

  • Hwang, K. (2005), The inferior science and the dominant use of English in knowledge production: A case study of Korean science and technology, Science Communication, 26: 390–427.

    Article  Google Scholar 

  • International Monetary Fund (2007), World Economic Outlook, Database, April 2007, http://imf.org/external/pubs/ft/weo/2007/01/data/index.aspx (accessed July 1, 2007).

  • Mazza, C. (1998), The popularization of business knowledge diffusion: From academic knowledge to popular culture?, In: J. L. Alvarez (Ed.) (1998) The Diffusion and Consumption of Business Knowledge, St. Martin’s Press, New York, pp. 164–181.

    Google Scholar 

  • Moon, H., C. M. Wotipka (2006), The worldwide diffusion of business education, 1881–1999:. Historical trajectory and mechanisms of expansion, In: G. Drori, J. W. Meyer, H. Hwang (Eds) Globalization and Organization: World Society and Organizational Change, Oxford University Press, Oxford, pp. 121–136.

    Google Scholar 

  • Rynes, S., J. M. Bartunek, R. L. Daft (2001), Across the great divide: Knowledge creation and transfer between practitioners and academics, Academy of Management Journal, 44: 340–355.

    Article  Google Scholar 

  • Sahlin-Andersson, K., L. Engwall (Eds) (2002a), The Expansion of Managment Knowledge: Carriers, Flows, and Sources, Stanford University Press, Stanford, CA.

    Google Scholar 

  • Sahlin-Andersson, K., L. Engwall (2002b), Carriers, flows and sources of management knowledge, In: K. L. Sahlin-Andersson, L. Engwall (Eds) The Expansion of Management Knowledge: Carriers, Flows, and Sources, Stanford University Press, Stanford, CA, pp. 3–32.

    Google Scholar 

  • Schott, T. (1998), Ties between center and periphery in the scientific world-system: Accumulation of rewards, dominance and self-reliance in the center, Journal of World-Systems Research, 4: 112–144, http://jwsr.ucr.edu/archive/vol4/v4n2a3.php.

    Google Scholar 

  • Shrum, W. (1997), View from afar: ‘visible’ productivity of scientists in the developing world, Scientometrics, 40: 215–235.

    Article  Google Scholar 

  • Shrum, W., Y. Shenhav (1995), Science and technology in less developed countries, In: S. Jasanoff, G. Markle, J. Peterson, T. Pinch (Eds), Handbook of Science, Technology, and Society, Sage, Newbury Park, CA, pp. 627–651.

    Google Scholar 

  • Üsdiken, B., D. Çetin (2001), From Betriebswirtschaftslehre to human relations: Turkish management literature before and after the Second World War, Business History, 43: 90–121.

    Article  Google Scholar 

  • Van Leeuwen, T. (2006), The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible, Scientometrics, 66: 133–154.

    Article  Google Scholar 

  • Verbeek A., K. Debackere, M. Luwel, E. Zimmermann (2002), Measuring progress and evolution in science and technology I: The multiple uses of bibliometric indicators, International Journal of Management Reviews, 4: 179–211.

    Article  Google Scholar 

  • Zeileis, A., C. Kleiber, S. Jackman (2007), Regression Models for Count Data in R, Working Paper, Research Report Series Nr. 53, Department of Statistics and Mathematics, Wirtschaftsuniversität Wien.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ernesto R. Gantman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gantman, E.R. International differences of productivity in scholarly management knowledge. Scientometrics 80, 153–165 (2009). https://doi.org/10.1007/s11192-007-2054-8

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-007-2054-8

Keywords

Navigation