Higher Education

, Volume 54, Issue 1, pp 99–113 | Cite as

Departmental networks—An empirical analysis of career patterns among junior faculty in Germany

Original Paper


By using recruitment data from 60 German departments of business administration, networks are constructed in which the nodes are departments, and two departments are connected if they have either sent or received a scientist from one another. Different concepts of social network analysis are applied to answer a series of questions, such as the number of scientists the business departments produce, to whom they send and from whom they receive their scientists, and which role academic networks play in the career of young scientists in business administration. Regression analysis revealed that network centrality is a robust predictor of departmental reputation. The social network approach can be used to assess reputational differences among business departments, thereby providing an alternative to existing opinion surveys and research rankings.


Business schools Faculty recruitment Rankings Reputation Social network analysis 


  1. Baldi, S. (1995). Prestige determinants of first academic job for new sociology PhDs 1985–1992. Sociological Quarterly, 36, 777–798.CrossRefGoogle Scholar
  2. Berelson, B. (1960). Graduate education in the United States. New York: McGraw-Hill.Google Scholar
  3. Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2, 113–120.CrossRefGoogle Scholar
  4. Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). UCInet for windows: Software for social network analysis. Harvard, MA: Analytic Technologies.Google Scholar
  5. Burris, V. (2004). The academic caste system: Prestige hierarchies in PhD exchange networks. American Sociological Review, 69, 239–264.CrossRefGoogle Scholar
  6. Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge, MA: Harvard University Press.Google Scholar
  7. Cantner, U., & Graf, H. (2006). The network of innovators in Jena: An application of social network analysis. Research Policy, 35, 463–480.CrossRefGoogle Scholar
  8. Clark, B. R. (1983). The higher education system. Academic organization in cross-national perspective. Berkeley: University Press.Google Scholar
  9. D’Aveni, R. A. (1996): A multiple-constituency, status-based approach to interorganizational mobility of faculty and input–output competition among business schools. Organization Science, 7, 166–189.CrossRefGoogle Scholar
  10. Dichev, I. D. (1999). How good are business school rankings? The Journal of Business, 72, 201–213.CrossRefGoogle Scholar
  11. Elsbach, K. D., & Kramer, R. M. (1996). Members’ responses to organizational identity threats: Encountering and countering the business week rankings. Administrative Science Quarterly, 41, 442–476.CrossRefGoogle Scholar
  12. Focus (2005). Deutschlands beste Unis – Teil 2: VWL, BWL und Jura, 12.09.2005, published in digital form at http://focus.msn.de/bildung/campus/unilisten/hochschul-ranking-2005_aid_8671.html.Google Scholar
  13. Gaugler, E. (1996). Die Besetzung von Universitätsprofessuren. Das Hochschulwesen, 2, 115–121.Google Scholar
  14. Goodyear, P., Jones, C., Asensio, M., Hodgson, V., & Steeples, C. (2005). Networked learning in higher education: Students’ expectations and experiences. Higher Education, 50, 473–508.CrossRefGoogle Scholar
  15. Granovetter, M. (1974). Getting a job: A study of contacts and careers. Chicago: University of Chicago Press.Google Scholar
  16. Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California, Riverside (published in digital form at http://faculty.ucr.edu/∼hanneman/).Google Scholar
  17. Kilduff, M., & Tsai, W. (2003). Social networks and organizations. London: Sage.Google Scholar
  18. Krackhardt, D. (1992). The strength of strong ties: The Importance of philos in organizations. In R. Eccles, & N. Nohria (Eds.), Networks and organizations: Structure, form and action (pp. 216–239). Cambridge, MA: Harvard Business School.Google Scholar
  19. Krackhardt, D. (1995). Groups, roles, and Simmelian ties in organizations, working paper, Heinz School of Public Administration, Carnegie Mellon University, Pittsburgh, PA.Google Scholar
  20. Long, S., & Fox, M. F. (1995). Scientific careers: Universalism and Particularism. Annual Review of Sociology, 21, 45–71.CrossRefGoogle Scholar
  21. Macharzina, K., Wolf, J., & Rohn, A. (2004). Quantitative evaluation of German research output in business administration: 1992–2001. In Management International Review 44, Jg. (2004), S, 335–359.Google Scholar
  22. Mowday, R. T. (1997). 1996 presidential address: Reaffirming our scholarly values. Academy of Management Review, 22, 335–345.CrossRefGoogle Scholar
  23. Otte, E., & Rousseau, R. (2002). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 28, 441–453.CrossRefGoogle Scholar
  24. Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12, 502–518.CrossRefGoogle Scholar
  25. Schlinghoff, A. (2002). Personalauswahl an Universitäten. In Zeitschrift für Betriebswirtschaft, 2/2002, pp. 139–146.Google Scholar
  26. Schmotter, J. W. (1995). An interview with Professor James March. Selections, 2–12.Google Scholar
  27. Staufenbiel, J. E., Heimburger, S., & Friedenberger, T. (2002). Wirtschaft studieren: Berufsziele, Studieninhalte und die Wahl der Hochschule. Köln: Staufenbiel.Google Scholar
  28. Tenkasi, R. V., & Chesmore, M. C. (2003). Social networks and planned organizational change. The Journal of Applied Behavioral Science, 39, 281–298.CrossRefGoogle Scholar
  29. Tuire, P., & Erno, L. (2001). Exploring invisible scientific communities: Studying networking relations within an educational research community: A finnish case. Higher Education, 42, 493–513.CrossRefGoogle Scholar
  30. van Vught, F. A. (1985). Negative incentive steering in a policy network. Higher Education, 14, 593–616.CrossRefGoogle Scholar
  31. Wagner, C. S. (2005). Six case studies of international collaboration in science. Scientometrics, 62, 3–26.CrossRefGoogle Scholar
  32. Wassermann, S., & Faust, K. (1999). Social network analysis – Methods and applications. Cambridge: Cambridge University Press.Google Scholar
  33. Zell, D. (2001). The market-driven business school: Has the pendulum swung too far? Journal of Management Inquiry, 10, 324–338.CrossRefGoogle Scholar
  34. Ziman, J. (1996). Postacademic science? Constructing Knowledge with Networks and Norms. Science Studies, 9, 67–80.Google Scholar
  35. Zimmerman, J. L. (2001). Can business schools survive? University of Rochester, working paper, September, to be downloaded from the Social Science Research Network Electronic Paper Collection, http://papers.ssrn.com/abstract = 283112.Google Scholar

Copyright information

© Springer Science + Business Media B.V. 2006

Authors and Affiliations

  1. 1.Department of EducationUniversity of OldenburgOldenburgGermany

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