Skip to main content
Log in

Managing collaboration performance to govern virtual organizations

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

The ability to collaborate with partners will become an essential core competence that is required from companies when they are going to take up future challenges. Growing complexity of products and services, increasing global competition and accelerated business processes will exceed in many cases the capabilities and capacities of single companies. The involvement of other companies can help to overcome these limitations. However, only what is measured can be managed. Consequently it is necessary to assess the effectiveness and efficiency of how partners work together in joint processes for a common goal. In other word: the collaboration performance has to be measured. But traditional Performance Measurement (PM) methodologies and indicators are designed to assess the performance of single companies or static cooperation like in supply chains. Evaluation and management of collaboration performance as a particular performance perspective in cooperation is not covered by existing approaches so far. Therefore there is still a need for an approach that provides an information basis for the management of collaboration when companies work together in in cooperation. In this paper, which is initially based on a paper presented on the ProVE conference in 2007, different perspectives of collaboration performance are identified and structured. The considerations are based on Virtual Organisations VOs, a particular type of cooperation that requires usually intensive collaborative interactions between the partners.

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

  • Bamford, J., Ernst, D., & Fubini, D. G. (2004). Wie man Weltklasse Joint Venture startet. Harvard Business Manager, 26, May.

  • Beamon B.M. (1999) Measuring supply chain performance. International Journal of Operations and Production Management 19(3): 275–292

    Article  Google Scholar 

  • Bullinger, H.-J, Kiss-Preußinger, E., & Spath, D. (Eds.) (2003). Automobilentwicklung in Deutschland—wie sicher in die Zukunft. Study of Fraunhofer IAO, PROMIND, MVI Group, Stuttgart.

  • Camarinha-Matos L.M., Abreu A. (2007) Performance indicators for collaborative networks based on collaboration benefits. Journal of Production Planning & Control 18(7): 592–609

    Article  Google Scholar 

  • Camarinha-Matos L.M., Afsarmanesh H. (2008) Collaborative networks: Reference modeling. Springer, New york

    Google Scholar 

  • Dürmüller, C. (2002). Checkliste für erfolgreiche Allianzen. New Management, No. 6.

  • ECLOEAD Project, Work Package 3, Deliverable 3.11. www.ecolead.org, 2005.

  • Graser, F., Jansson, K., Eschenbächer, J., Westphal, I., & Negretto, U. (2005). Towards performance measurement in virtual organisations—potentials, needs, and research challenges. In Proceedings Pro-VE 2005.

  • Gunasekaran A., Patel C., Tirtiroglu E. (2001) Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, Bradford 21(1/2): 71

    Article  Google Scholar 

  • Hieber, R. (2002). Collaborative performance measurement in logistics networks : the model, approach and assigned KPIs. Logistik- Management, Nürnberg, 4(2).

  • Höbig, M. (2002). Modellgestützte Bewertung der Kooperationsfähigkeit produzierender Unternehmen. Fortschritt-Berichte VDI Reihe 16 Nr. 140. Düsseldorf: VDI Verlag.

  • Jana, P., Narag, A. S., & Knox, A. (2007). Measuring efficiency of a supply chain.

  • Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard— measures that drive performance. Harvard Business Review, January–February.

  • Kellen, V. (2003). Business performance measurement; Chicago 2003

  • Klingebiel, N. (Ed.). (2001). Performance measurement & balanced scorecard. München: Verlag Vahlen.

  • Kürümlüoglu, M., Nøstdal, R., & Karvonen, I. (2005). Base concepts. In L. Camarinha-Matos, H. Afsarmanesh. & M. Ollus (Eds.), Virtual organizations. Systems and practices. Springer.

  • Leseure M., Shaw N., Chapman G. (2001) Performance measurement in organisational networks: An exploratory case study. International Journal of Business Performance Management 3(1): 30–46

    Article  Google Scholar 

  • Macbeth, D.-K. (2005) Performance measurement in supply chains. Presentation of the IMS-NOW SIg Meeting in Glasgow on 24 Feb 2005.

  • Reichwald, R., Dannenberg, J., Kelp, R., & Hensel, J. (2005). Management von Unternehmensnetzwerken in der Automobilindustrie— Ergebnisdokumentation für Interviewpartner. Technische Universität München.

  • Rolstadas A. (1998) Enterprise performance measurement. International Journal of Operations & Production Management 18(9/10): 989–999

    Article  Google Scholar 

  • Sandt J. (2005) Performance measurement—Übersicht über Forschungsentwicklung und—stand. Zeitschrift für Controlling & Management 49(6): 429–447

    Google Scholar 

  • Schweier, H. (2004). Aspekte eines Controlling logistischer Netzwerke. In J. Gericke, M. Kaczmarek, S. Neweling, A. Schulze im Hove, A. Sonnek & F. Stüllenberg (Eds.), Management von Unternehmensnetzwerken. Hamburg: Verlag Dr. Kovač.

  • Seifert, M. (2007). Unterstützung der Konsortialbildung in Virtuellen Organisationen durch prospectives Performance Measurement. Universität Bremen.

  • Sennheiser, A. (2004). Determinant based selection of benchmarking partners and logistics performance indicators. PhD-Thesis, ETH Zürich.

  • Simatupang T.M., Sridharan R. (2004) A benchmarking supply chain collaboration: An empirical study. Benchmarking, An International Journal 11(5): 484–503

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Skandia: Visualizing Intellectual Capital in Skandia. http://www.skandia.com/en/includes/documentlinks/annualreport1994/e9412Visualizing.pdf, Accessed 15 Feb 2007.

  • Stewart, T. A. (1999). Intellectual capital: The new wealth of organizations. London: Currency Doubleday.

  • Thoben K.-D., Jagdev H.S. (2001) Typological issues in enterprise networks. Production Planning & Control 12(5): 421–436

    Article  Google Scholar 

  • Weber, D. (2005). Strategische Planung im Unternehmensnetzwerk am Beispiel industrieller Dienstleistungen im Industrieanlagenbau Elektronikfertigung. Dissertation, Technische Universität. Braunschweig: Shaker Verlag.

  • Weber, F. (2007). Formale Interaktionsanalyse—Ein Beitrag zur systematischen Gestaltung von Informations—und Kommunikationsstrukturen im Concurrent Enterprise durch die Berücksichtigung von Informationseigenschaften. Universität Bremen.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ingo Westphal.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Westphal, I., Thoben, KD. & Seifert, M. Managing collaboration performance to govern virtual organizations. J Intell Manuf 21, 311–320 (2010). https://doi.org/10.1007/s10845-008-0182-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-008-0182-5

Keywords

Navigation