Advertisement

Scientometrics

, Volume 95, Issue 2, pp 541–561 | Cite as

The knowledge domain of the academy of international business studies (AIB) conferences: a longitudinal scientometric perspective for the years 2006–2011

  • Gerhard A. Wuehrer
  • Angela Elisabeth Smejkal
Article

Abstract

Conferences play a major role for the development of scientific domains. While journal and article contributions in the field of international business (IB) are a general and well researched area of scientometric studies, conferences are not. The absence of a systematic assessment of international business conferences as a reference to the collective status of the Academy of International Business (AIB) community is astonishing. Whatever reasons are accountable for that fact, this paper starts to fill that gap. It establishes a knowledge network composed of the last six years AIB conferences. We collected all the contributions in full text with their abstracts and keywords from 2006 to 2011. All the data have been organized in a data system and we used the information-theoretic clustering method which allows different analytical views through the entire knowledge corpus. The results indicate significant statistical differences between topic modules and keyword threads of the yearly conferences. There are three keywords which dominate as a leitmotif between 2006 and 2011, but the detailed structure changes from conference to conference significantly.

Keywords

Emerging markets/countries/economies MNE FDI Conferences Longitudinal analysis Scientometric studies 

Mathematical Subject Classification

62-06 62-07 

JEL Classification

F2 F23 

References

  1. An, X. Y., & Wu, Q. Q. (2011). Co-word analysis of the trends in stem cells field based on subject heading weighting. Scientometrics, 88(1), 133–144.MathSciNetCrossRefGoogle Scholar
  2. Artto, K., Martinsuo, M., Gemunden, H. G., & Murtoaro, J. (2009). Foundations of program management: a bibliometric view. International Journal of Project Management, 27(1), 1–18.CrossRefGoogle Scholar
  3. Bech, M. L., Bergstrom, C. T., Garratt, R., & Rosvall, M. (2011). Mapping change in the federal funds market. Working Paper, available at SSRN: http://ssrn.com/abstract=1917412.
  4. Bettencourt, L. M., Kaiser, D. I., & Kaur, J. (2009). Scientific discovery and topological transitions in collaboration networks. Journal of Informetrics, 3(3), 210–221.CrossRefGoogle Scholar
  5. Bilgin, F. Z., Sriram, V., & Wuehrer, G. A. (Eds.). (2004). Drivers of global business success. Lessons from emerging markets. Basingstoke: Palgrave Macmillan.Google Scholar
  6. Bilgin, F. Z., & Wuehrer, G. A. (2007). Trends in the field of scholarly marketing in Turkey: a scientometric review of 25 years of Master and Ph.D. thesis work. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.140.3912&rep=rep1&type=pdf. Accessed 25 Jan 2012.
  7. Bohne, T., Rönnau, S., & Borghoff, U. M. (2011). Efficient keyword extraction for meaningful document perception. DocEng ‘11 Proceedings of the 11th ACM symposium on Document engineering. doi:  10.1145/2034691.2034732.
  8. Borghans, L. (2003). Why do researchers go to a conference? Discussion paper, Research Centre for Education and the Labour Market (ROA), Maastricht University, Mimeo, Maastricht.Google Scholar
  9. Borghans, L., Romans, M., & Sauermann, J. (2010). What makes a good conference? Analysing the preferences of labour economists. Labour Economics, 17(5), 868–874.CrossRefGoogle Scholar
  10. Börner, K., Chen, C., & Boyack, K. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179–255.CrossRefGoogle Scholar
  11. Bornmann, L. (2011). Mimicry in science? Scientometrics, 86(1), 173–177.CrossRefGoogle Scholar
  12. Boyack, K. W., Börner, K., & Klavans, R. (2009). Mapping the structure and evolution of chemistry research. Scientometrics, 79(1), 45–60.CrossRefGoogle Scholar
  13. Buckley, P. J. (2002). Is the international business research agenda running out of steam? Journal of International Business Studies, 33(2), 365–373.MathSciNetCrossRefGoogle Scholar
  14. Butler, L., & Visser, M. S. (2006). Extending citation analysis to non-source items. Scientometrics, 66(2), 327–343.CrossRefGoogle Scholar
  15. Camarinha-Matos, L. M., & Afsarmanesh, H. (2005). Collaborative networks: a new scientific discipline. Journal of Intelligent Manufacturing, 16(4–5), 439–452.CrossRefGoogle Scholar
  16. Chabowski, B. R., Hult, G. T. M., Kiyak, T., & Mena, J. A. (2009). The structure of JIBS’s social network and the relevance of intra-country variation: a typology for future research. Journal of International Business Studies, 41(5), 925–934.CrossRefGoogle Scholar
  17. Chabowski, B. R., Mena, J. A., & Gonzalez-Padron, T. L. (2011). The structure of sustainability research in marketing, 1958–2008: a basis for future research opportunities. Journal of the Academy of Marketing Science, 39(1), 55–70.CrossRefGoogle Scholar
  18. Chambers, D., Roberts, S., & Lewis-Cameron, A. (2010). Papers from conference proceedings of the 1st international tourism conference—‘beyond the boundary: creating new epistemologies in tourism’. Tourism and Hospitality Research, 10(4), 311–314.CrossRefGoogle Scholar
  19. Chen, C. (2003). Mapping scientific frontiers. The quest for knowledge visualization. London; New York: Springer.CrossRefGoogle Scholar
  20. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the Fuzzy sets theory field. Journal of Informetrics, 5(1), 146–166.CrossRefGoogle Scholar
  21. Cronin, B. (1984). The citation process. London: Taylor Graham.Google Scholar
  22. Ding, Y., Chowdhury, G. B., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37(6), 817–842.zbMATHCrossRefGoogle Scholar
  23. DuBois, F. L., & Reeb, D. (2000). Ranking the international business journals. Journal of International Business Studies, 31(4), 689–704.CrossRefGoogle Scholar
  24. Dunning, J. H. (2007). A new Zeitgeist for international business activity and scholarship. European Journal of International Management, 1(4), 278–300.CrossRefGoogle Scholar
  25. Efron, B., & Tibshirani, R. J. (1998). An introduction to the bootstrap. Boca Raton: Chapman & Hall.Google Scholar
  26. Franceschet, M. (2010). The difference between popularity and prestige in the sciences and in the social sciences: a bibliometric analysis. Journal of Informetrics, 4(1), 55–63.CrossRefGoogle Scholar
  27. Gingras, Y., & Wallace, M. L. (2010). Why it has become more difficult to predict Nobel prize winners: a bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901–2007). Scientometrics, 82(2), 401–412.CrossRefGoogle Scholar
  28. Glänzel, W., Schlemmer, B., Schubert, A., & Thijs, B. (2006). Proceedings literature as additional data source for bibliometric analysis. Scientometrics, 68(3), 457–473.CrossRefGoogle Scholar
  29. González-Albo, B., & Bordons, M. (2011). Articles vs. proceedings papers: do they differ in research relevance and impact? A case study in the library and information science field. Journal of Informetrics, 5(3), 369–381.CrossRefGoogle Scholar
  30. Griffith, D. A., Tamer Cavusgil, S., & Elgar, E. (2008). Emerging themes in international business research. Journal of International Business Studies, 39(7), 1220–1235.CrossRefGoogle Scholar
  31. Halpern, J. Y., & Parkes, D. C. (2011). Journals for certification, conferences for rapid dissemination. Communications of the ACM, 54(8), 36–38.CrossRefGoogle Scholar
  32. Hofer, K. M., Smejkal, A. E., Bilgin, F. Z., & Wuehrer, G. A. (2010). Conference proceedings as a matter of bibliometric studies: the academy of international business 2006–2008. Scientometrics, 84(3), 845–862.CrossRefGoogle Scholar
  33. Íñiguez-Rueda, L., Martínez-Martínez, L. M., Muñoz-Justicia, J. M., Peñaranda-Cólera, M. C., Sahagún-Padilla, M. A., & Alvarado, J. G. (2008). The mapping of Spanish social psychology through its conferences: a bibliometric perspective. The Spanish Journal of Psychology, 11(1), 137–158.Google Scholar
  34. Kara, S., Alan, Ö., Sabuncu, O., Akpinar, S., Cicekli, N. K., & Alpaslan, F. N. (2012). An ontology-based retrieval system using semantic indexing. Information Systems Management, 37(4), 294–305.Google Scholar
  35. Kim, H., Yoon, J. W., & Crowcroft, J. (2012). Network analysis of temporal trends in scholarly research productivity. Journal of Informetrics, 6(1), 97–110.CrossRefGoogle Scholar
  36. Kuhn, T. S. (2009). The structure of scientific revolutions. Chicago: University of Chicago Press.Google Scholar
  37. Lahiri, S., & Kumar, V. (2012). Ranking international business institutions and faculty members using research publication as the measure: update and extension of prior research. Accepted Paper Series, available at SSRN: http://ssrn.com/abstract=1768026.
  38. Leonidou, L. C., Katsikeas, C. S., & Coudounaris, D. N. (2010). Five decades of business research into exporting: a bibliographic analysis. Journal of International Management, 16(1), 78–91.CrossRefGoogle Scholar
  39. Leskovec, J., Kleinberg, J, & Faloutsos, C. (2005). Graphs over time: densification laws, shrinking diameters and possible explanations. KDD’05 Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery data mining. doi: 10.1145/1081870.1081893.
  40. Leximancer. (2009). Leximancer: The why, not just the what. Leximancer Manual, Version 3.07. Brisbane: QLD: Leximancer Pty. Ltd and The University of Queensland.Google Scholar
  41. Leydesdorff, L. (2001). The challenge of scientometrics. The development, measurement, and self-organization of scientific communications. Parkland, Ill: Universal Publication.Google Scholar
  42. Leydesdorff, L. (2012). Advances in science visualization. Social networks, semantic maps, and discursive knowledge. http://arxiv.org/ftp/arxiv/papers/1206/1206.3746.pdf. Accessed 8 Oct 2012.
  43. Liesch, P. W., Håkanson, L., McGaughey, S. L., Middleton, S., & Cretchley, J. (2011). The evolution of the international business field: a scientometric investigation of articles published in its premier journal. Scientometrics, 88(1), 17–42.CrossRefGoogle Scholar
  44. Lisée, C., Larivière, V., & Archambault, É. (2008). Conference proceedings as a source of scientific information: a bibliometric analysis. Journal of the American Society for Information Science and Technology, 59(11), 1776–1784.CrossRefGoogle Scholar
  45. Muñoz-Leiva, F., Viedma-del-Jesús, M. I., Sánchez-Fernández, J., & López-Herrera, A. G. (2011). An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective. Quality & Quantity. doi: 10.1007/s11135-011-9565-3.
  46. Newman, M. E. J. (2011). Communities, modules and large-scale structure in networks. Nature Physics, 8(1), 25–31.CrossRefGoogle Scholar
  47. Noyons, E. C. M. (1999). Bibliometric mapping as a science policy and research management tool. Leiden: DSWO Press.Google Scholar
  48. Peng, M. W. (2004). Identifying the big question in international business research. Journal of International Business Studies, 35(2), 99–108.CrossRefGoogle Scholar
  49. Rokaya, M., Atlam, E., Fuketa, M., Dorji, T. C., & Aoe, J. i. (2008). Ranking of field association terms using co-word analysis. Information Processing and Management, 44(2), 738–755.CrossRefGoogle Scholar
  50. Rosvall, M., Axelsson, D., & Bergstrom, C. T. (2009). The map equation. http://arxiv.org/PS_cache/arxiv/pdf/0906/0906.1405v2.pdf. Accessed 6 Mar 2012.
  51. Rosvall, M., & Bergström, C. T. (2008). Maps of random walks on complex networks reveal community structure. PNAS, 105(4), 1118–1123.CrossRefGoogle Scholar
  52. Rosvall, M., Bergstrom, C. T., & Rapallo, F. (2010). Mapping change in large networks. PLoS ONE, 5(1), 1–7.CrossRefGoogle Scholar
  53. Rosvall, M., Bergstrom, C. T., & Rapallo, F. (2011). Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems. PLoS ONE, 6(4), 1–10.CrossRefGoogle Scholar
  54. Rowley-Jolivet, E. (1999). The pivotal role of conference papers in the network of scientific communication. ASP online 23–26, 1999. doi: 10.4000/asp.
  55. Samiee, S., & Chabowski, B. R. (2011). Knowledge structure in international marketing: a multi-method bibliometric analysis. Journal of the Academy of Marketing Science, 40(2), 364–386.CrossRefGoogle Scholar
  56. Serenko, A., Cox, R. A., Bontisc, N., & Booker, L. D. (2011). The superstar phenomenon in the knowledge management and intellectual capital academic discipline. Journal of Informetrics, 5(3), 333–345.Google Scholar
  57. Sidiropoulos, A., & Manolopoulos, Y. (2005). A new perspective to automatically rank scientific conferences using digital libraries. Information Processing and Management, 41(2), 289–312.CrossRefGoogle Scholar
  58. Sullivan, D., Nerur, S. P., & Balijepally, V. (2010). Source or storer? IB’s performance in a knowledge network. Journal of International Business Studies, 42(3), 446–457.CrossRefGoogle Scholar
  59. Treviño, L. J., Mixon, F. G. Jr, Funk, C. A., & Inkpen, A. C. (2010). A perspective on the state of the field: international business publications in the elite journals as a measure of institutional and faculty productivity. International Business Review, 19(4), 378–387.Google Scholar
  60. Uysal, Ö. Ö. (2010). Business ethics research with an accounting focus: a bibliometric analysis from 1988 to 2007. Journal of Business Ethics, 93(1), 137–160.CrossRefGoogle Scholar
  61. van Eck, N. J. (2011). Methodological advances in bibliometric mapping of science. http://repub.eur.nl/res/pub/26509/EPS2011247LIS9789058922915.pdf. Accessed 25 Jan 2012.
  62. van Eck, N. J., & Waltman, L. (2007). Bibliometric mapping of the computational intelligence field. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(5), 625–645.CrossRefGoogle Scholar
  63. van Eck, N. J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50–54.Google Scholar
  64. Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(4), 440–442.CrossRefGoogle Scholar
  65. Williams, B., & Plouffee, C. (2007). Assessing the evolution of sales knowledge: a 20-year content analysis. Industrial Marketing Management, 36(4), 408–419.CrossRefGoogle Scholar
  66. Wilson, D., & McKiernan, P. (2011). Global mimicry: putting strategic choice back on the business school agenda. British Journal of Management, 22(3), 457–469.Google Scholar
  67. Wuehrer, G. A., Bilgin, Z. F., & Karaosmanoglu, E. (2011). The development and transfer of scholarly marketing thought in Turkey: a scientometric analysis of Master and Ph.D. thesis 1980–2008 in an emerging market country. http://beykon.org/foto2010/33.pdf. Accessed 25 Jan 2012.
  68. Yoon, B., Lee, S., & Lee, G. (2010). Development and application of a keyword-based knowledge map for effective R&D planning. Scientometrics, 85(3), 803–820.MathSciNetCrossRefGoogle Scholar
  69. Zhang, L., & Glänzel, W. (2012). Proceeding papers in journals versus the “regular” journal publications. Journal of Informetrics, 6(1), 88–96.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2012

Authors and Affiliations

  • Gerhard A. Wuehrer
    • 1
  • Angela Elisabeth Smejkal
    • 1
  1. 1.Department of Retailing, Sales and MarketingJohannes Kepler University LinzLinzAustria

Personalised recommendations