Skip to main content

A Decision Support Approach to Modeling Trust in Networked Organizations

  • Conference paper
Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3533))

Abstract

The main motivation for organizations to e-collaborate is to enable knowledge sharing and learning in order to effectively address a new business opportunity by forming a Virtual Organization (VO) for solving the given task. One of the difficulties in VO creation is appropriate partner selection with mutual trust, as well as the support for the management of trust in a broader Virtual organization Breeding Environment (VBE)- a cluster of organizations willing to collaborate when a new business opportunity appears. This paper proposes an approach to modeling trust in a network of collaborating organizations, aimed at improved trust management in VBEs and improved decision support in the process of VO creation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Similar content being viewed by others

References

  1. Bohanec, M., Rajkovič, V.D.: An expert system shell for decision support. Sistemica 1(1), 145–157 (1990)

    Google Scholar 

  2. Matsuo, Y., Tomobe, H., Hasida, K., Ishizuka, M.: Finding social network for trust calculation. In: Proceeding of the 16th European Conference on Artificial Intelligence, pp. 510–514. IOS Press, Amsterdam (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lavrač, N., Ljubič, P., Jermol, M., Papa, G. (2005). A Decision Support Approach to Modeling Trust in Networked Organizations. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_103

Download citation

  • DOI: https://doi.org/10.1007/11504894_103

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics