Abstract
Virtual Organizations (VOs) are an emerging business model in today’s Internet economy. Increased specialization and focusing on an organization’s core competencies requires such novel models to address business opportunities. In a VO, a set of sovereign, geographically dispersed organizations temporarily pool their resources to jointly address a business opportunity. The decision making process determining which potential partners are invited to join the VO is crucial with respect to entire VO’s success. The possibility of a VO partner performing badly during the VO’s operational phase or announcing bankruptcy endangers the investment taken in integrating their processes and infrastructure for the purpose of the VO. A reputation system can provide additional decision support besides the a priori knowledge from quotations and bidding to avoid events such as VO partner replacement by helping to choose reliable partners in the first place. To achieve this, reputation, an objective trust measure, is optimally aggregated from multiple independent trust sources that inherently characterize an organization’s reliability. To allow for the desired predictions of an organization’s future performance, a stochastic modeling approach is chosen. The paper will present a taxonomy of TIs for VO environments, a stochastic model to maintain and aggregate trust sources, so called Trust Indicators, and the inclusion of other subjective measures such as feedback.
Keywords
- Trust Third Party
- Reputation System
- Virtual Organization
- Delivery Delay
- Enterprise Resource Planning System
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.
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References
Strader, T., Lin, F., Shaw, M.: Information structure for electronic virtual organization management. Decision Support Systems, 75–94 (1998)
Wilson, M., Arenas, A., Chadwick, D., Dimitrakos, T., Doser, J., Giambiagi, P., Golby, D., Geuer-Pollman, C., Haller, J., Ketil, S., Mahler, T., Martino, L., Parent, X., Ristol, S., Sairamesh, J., Schubert, L., Tuptuk, N.: The trustcom framework v0.5. In: TrustCoM workshop at the 6th IFIP Working Conference on VIRTUAL ENTERPRISES (PRO-VE 2005) (2005)
Rasmusson, L., Janssen, S.: Simulated social control for secure internet commerce. In: Meadows, C. (ed.) Proceedings of the 1996 New Security Paradigms Workshop, ACM Press, New York (1996)
Robinson, P., Karabulut, Y., Haller, J.: Dynamic virtual organization management for service oriented enterprise applications. In: The First International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2005) (2005)
Gambetta, D.: In: Can We Trust Trust? Basil Blackwell, Reprinted in electronic edition from Department of Sociology, University of Oxford, ch. 13, pp. 213–237 (1988)
Haller, J.: A stochastic approach for trust management. In: International Workshop on Security and Trust in Decentralized/Distributed Data Structures (STD3S) (2006)
Regan, K., Cohen, R., Poupart, P.: The Advisor-POMDP: A principled approach to trust through reputation in electronic markets. In: Proceedings of Privacy, Security and Trust (PST 2005) (2005)
Zacharia, G., Moukas, A., Maes, P.: Collaborative reputation mechanisms in electronic marketplaces. In: Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences (HICSS-32) (1999)
Allen, S.: Financial risk management: a practitioner’s guide to managing market and credit risk. Wiley, Chichester (2003)
Teitelbaum, D., Axtell, R.: Firm Size Dynamics of Industries: Stochastic Growth Processes, Large Fluctuations, and the Population of Firms (2005)
King, J.L.: Operational risk: measurement and modelling. Wiley, Chichester (2001)
Cruz, M.G.: Modeling, measuring and hedging operational risk. Wiley, Chichester (2003)
Romeike, F.: Modernes Risikomanagement: die Markt-, Kredit- und operationellen Risiken zukunftsorientiert steuern. Wiley-VCH, Weinheim (2005)
Tan, Y.H.: A trust matrix model for electronic commerce. In: Nixon, P., Terzis, S. (eds.) iTrust 2003. LNCS, vol. 2692, pp. 33–45. Springer, Heidelberg (2003)
Ismail, R., Josang, A.: The beta reputation system. In: Proceedings of the 15th Bled Conference on Electronic Commerce (2002)
Murphy, K.P.: The bayes net toolbox for MATLAB
Heckerman, D., Chickering, D.M., Meek, C., Rounthwaite, R., Kadie, C.M.: Dependency networks for inference, collaborative filtering, and data visualization. Journal of Machine Learning Research 1, 49–75 (2000)
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Haller, J. (2008). A Bayesian Reputation System for Virtual Organizations. In: Gimpel, H., Jennings, N.R., Kersten, G.E., Ockenfels, A., Weinhardt, C. (eds) Negotiation, Auctions, and Market Engineering. Lecture Notes in Business Information Processing, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77554-6_12
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DOI: https://doi.org/10.1007/978-3-540-77554-6_12
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