An Examination of Talent Management Concepts in Knowledge Intensive Settings

  • Eoin Whelan
  • David Collings
  • Brian Donnellan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5914)


Despite more than a decade of hype around the concept of talent management, we still have a relatively limited knowledge regarding its application in practice. In this paper we examine how the concepts of talent management apply in knowledge intensive settings. A case study of a high-technology R&D group is conducted. Extending the technological gatekeeper theory, we apply social network analysis (SNA) techniques to identify those employees critical to the knowledge flow network. The specific talents exhibited by these individuals are then explored and we point to some organisational level interventions which can facilitate knowledge intensive organisations in fully exploiting their resources to maximise innovative capabilities.


Talent management technological gatekeeper knowledge diffusion social network analysis R&D 


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  1. 1.
    Lowe, K.B., Milliman, J., De Cieri, H., Dowling, P.J.: International compensation practices: a ten-country comparative analysis. Human Resource Management 41(1), 45–66 (2002)CrossRefGoogle Scholar
  2. 2.
    Caligiuri, P.M., Lazarova, M., Tarique, I.: Training, learning and development in multinational organizations. In: Scullion, H., Linehan, M. (eds.) International Human Resource Management: A critical text. Palgrave Macmillan, Hampshire (2005)Google Scholar
  3. 3.
    Barney, J.: Gaining and sustaining competitive advantage. Addison-Wesley, Reading (1997)Google Scholar
  4. 4.
    Boston Consulting Group. The future of HR: Key challenges through 2015. Dusseldorf, Boston Consulting Group (2007)Google Scholar
  5. 5.
    Cappelli, P.: Talent management for the twenty-first century. Harvard Business Review, 74–81 (March 2008)Google Scholar
  6. 6.
    Cheese, P., Thomas, R.J., Tapscott, D.: The talent powered organization: Strategies for globalization, talent management and performance. London and Philadelphia: Keogan Page (2008)Google Scholar
  7. 7.
    Cohen, W., Levinthal, D.: Absorptive capacity: A new perspective on learning and innovation. Administration Science Quarterly 35, 128–152 (1990)CrossRefGoogle Scholar
  8. 8.
    Lewis, R.E., Heckman, R.J.: Talent management: a critical review. Human Resource Management Review 16(2), 139–154 (2006)CrossRefGoogle Scholar
  9. 9.
    Becker, B.E., Huselid, M.E., Beatty, R.W.: The differentiated workforce: Transforming talent into strategic impact. Harvard Business School Press, Boston (2009)Google Scholar
  10. 10.
    Boudreau, J.W., Ramstad, P.M.: Talentship, talent segmentation, and sustainability: A new HR decision science paradigm for a new strategy definition. Human Resource Management 42, 129–136 (2005)CrossRefGoogle Scholar
  11. 11.
    Huselid, M.A., Beatty, R.W., Becker, B.E.: ‘A players’ or ‘A positions’? The strategic logic of workforce management. Harvard Business Review, 110–117 (December 2005)Google Scholar
  12. 12.
    Allen, T.J.: Managing the flow of technology. MIT Press, Cambridge (1977)Google Scholar
  13. 13.
    Allen, T.J., Cohen, S.I.: Information flow in research and development laboratories. Administrative Science Quarterly 14(1), 12–19 (1969)CrossRefGoogle Scholar
  14. 14.
    Allen, T.J., Tushman, M.L., Lee, D.M.S.: Technology transfer as a function of position in the spectrum from research through development to technical services. Academy of Management Journal 22(4), 694–708 (1979)CrossRefGoogle Scholar
  15. 15.
    Tushman, M., Katz, R.: External communication and project performance: an investigation into the role of gatekeepers. Management Science 26(11), 1071–1085 (1980)CrossRefGoogle Scholar
  16. 16.
    Katz, R., Tushman, M.: An investigation into the managerial roles and career paths of gatekeepers and project supervisors in a major R&D facility. R&D Management 11, 103–110 (1981)CrossRefGoogle Scholar
  17. 17.
    Assimakopoulos, D., Yan, J.: Sources of knowledge acquisition for Chinese software engineers. R&D Management 36(1), 97–106 (2006)CrossRefGoogle Scholar
  18. 18.
    Moreno, J.L.: Sociometry in relation to other social sciences. Sociometry 1(1/2), 206–219 (1937)CrossRefGoogle Scholar
  19. 19.
    Scott, J.: Social network analysis; a handbook. Sage Publications, London (2000)Google Scholar
  20. 20.
    Borgatti, S.P., Everett, M.G., Freeman, L.C.: Ucinet for Windows: Software for social network analysis. Analytic Technologies, Harvard (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Eoin Whelan
    • 1
  • David Collings
    • 2
  • Brian Donnellan
    • 3
  1. 1.Dept. of Management and Marketing, Kemmy Business SchoolUniversity of LimerickIreland
  2. 2.J.E Cairnes School of Business and EconomicsNUI GalwayIreland
  3. 3.Brian Donnellan, Innovation Value InstituteNUI MaynoothIreland

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