Skip to main content

Measuring Collaboration Performance in Virtual Organizations

  • Conference paper

Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT,volume 243)


Management activities need an appropriate information basis. This applies also to the management of Virtual Organizations (VO). A potential source for this information is Performance Measurement. But traditional Performance Measurement (PM) methodologies and indicators are designed to assess the performance of single companies or static networks. Specific challenges and requirements of VOs are not addressed in an appropriate way. An essential aspect is for instance the collaboration performance, which has in many VOs a vital impact on the success. The objective of this paper is to provide an approach for addressing collaboration performance in the performance measurement of a VO. Therefore the main perspectives of collaboration performance and examples for potential indicators are described.


  • Supply Chain
  • Intellectual Capital
  • Virtual Organization
  • Collaborative Network
  • Collaboration Performance

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Bamford, Jamcs; Ernst, David; Fubini, David G.: Wie man Wcltklasse Joint Venture startct. In: Harvard Business Manager, 26th Volume, May 2004.

    Google Scholar 

  2. Bcamon, Benita M.: Measuring supply chain performance. In: International Journal of Operations and Production Management, Vol. 19, No. 3, 1999.

    Google Scholar 

  3. Bullingcr, Hans-Jörg; Kiss-Prcußingcr, Elkc; Spath, Dieter (eds.): Automobilcntwicklung in Deutschland -wie sichcr in die Zukunft. Study of Fraunhofcr IAO, PROMIND, MVI Group, Stuttgart 2003.

    Google Scholar 

  4. Dürmüllcr, Christoph: Checkliste für erfolgrciche Allianzen. In: New Management, No. 6, 2002.

    Google Scholar 

  5. ECLOEAD Project, Work Package 3, Deliverable 3.11,, 2005.

    Google Scholar 

  6. Graser, Falk; Jansson, Kim; Eschenbächcr, Jens; Westphal, Ingo; Ncgrctto, Ugo: Towards Performance Measurement in Virtual Organisations -Potentials, Needs, and Research Challenges. In: Proceedings Pro-VE 2005.

    Google Scholar 

  7. Gunasckaran, A., Patcl, C., Tirtiroglu, E.: Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, Bradford, Vol. 21, Iss. 1/2, pg. 71,2001.

    Google Scholar 

  8. Hieber, Ralf: Collaborative performance measurement in logistics networks : the model, approach and assigned KPIs. In: Logistik-Management, Nürnberg, Vol. 4, No. 2, 2002.

    Google Scholar 

  9. Höbig, Michael: Modcllgcstützte Bewertung der Koopcrationsfähigkeit produzierender Unternehmen. Fortschritt-Berichte VDI Reihe 16 Nr. 140, VDI Verlag, Düsseldorf 2002.

    Google Scholar 

  10. Kaplan, Robert S.; Norton, David P. The Balanced Scorccard -Measures that Drive Performance, Harvard Business Review, January-February, 1992.

    Google Scholar 

  11. Kürümlüoglu M., Nøstdal R., Karvonen, I.: Base coneepts. In Camarinha-Matos, L., Afsarmanesh, H., Ollus, M. (eds.), Virtual organizations. Systems and Practices, Springer-Verlag, 2005.

    Google Scholar 

  12. Leseurc, M.; Shaw, N.; Chapman, G.: Performance measurement in organisational networks: an exploratory case study. In: International journal of business performance management. -Milton Kcyncs, Geneve, Vol. 3, No. 1, 2001.

    Google Scholar 

  13. Macbeth, D.-K. (2005) Performance Measurement in Supply Chains. Presentation of the IMS-NOW SIg Meeting in Glasgow on Feb 24, 2005.

    Google Scholar 

  14. Sandt, Joachim: Performance Measurement -Übersicht über Forschungsentwicklung und -stand. In: Zeitschrift für Controlling & Management, Vol. 49, No. 6, 2005.

    Google Scholar 

  15. Schweier, Hendrick: Aspekte eines Controlling logistischer Netzwerke. In: Gericke, J.; Kaczmarek, M., Neweling, S.; Schulze im Hove, A., Sonnek, A.; Stüllenberg, F.: Management von Untemehmensnetzwerken. Verlag Dr. Kovač, Hamburg, 2004.

    Google Scholar 

  16. Seifert, M.: Unterstützung der Konsortialbildung in Virtuellen Organisationen durch prospectives Performance Measurement, Bremen 2007.

    Google Scholar 

  17. Simatupang, T.M., Sridharan, R.: A benchmarking supply chain collaboration: An empirical study. In: Benchmarking, An International Journal, Vol. 11, No. 5, 2004.

    Google Scholar 

  18. Sivadasan, S.; Efstathiou, J.; Frizelle, G.; Shirazi, R.; Calinescu, A.: An information-theoretic methodology for measuring the operational complexity of the supplier-customer systems. International Journal of Operations & Production, 22, 80–102, 2002.

    CrossRef  Google Scholar 

  19. Skandia: Visualizing Intellectual Capital in Skandia. l994/e9412Visualizing.pdf, accessed 15.02.2007.

    Google Scholar 

  20. Stewart, T.A.: Intellectual Capital: The new wealth of organizations. Currency Doubleday, London 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2007 IFIP International Federation for Information Processing

About this paper

Cite this paper

Westphal, I., Thoben, KD., Seifert, M. (2007). Measuring Collaboration Performance in Virtual Organizations. In: Camarinha-Matos, L.M., Afsarmanesh, H., Novais, P., Analide, C. (eds) Establishing the Foundation of Collaborative Networks. PRO-VE 2007. IFIP — The International Federation for Information Processing, vol 243. Springer, Boston, MA.

Download citation

  • DOI:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-0564-5

  • Online ISBN: 978-0-387-73798-0

  • eBook Packages: Computer ScienceComputer Science (R0)