Trust Indicator Modeling for a Reputation Service in Virtual Organizations

Title data

Winkler, Till J. ; Haller, Jochen ; Gimpel, Henner ; Weinhardt, Christof:
Trust Indicator Modeling for a Reputation Service in Virtual Organizations.
In: Österle, Hubert (ed.): Relevant rigour - rigorous relevance : 15th European Conference on Information Systems ; ECIS 2007 ; St. Gallen, June 07 - 09, 2007. - St. Gallen , 2007 . - pp. 1584-1595

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Abstract in another language

In today's Internet economy, new business models emerge to respond to business opportunities that one organization alone can not exploit. Virtual organizations (VOs) are a prominent example for such models currently investigated in, e.g., collaborative engineering and aggregated services provisioning. The partner selection process is a problem that needs to be swiftly performed for a VO to become operational. In the global Internet community, previously unknown partners have to be considered for important business transactions, taking a risk in expecting partners to behave reliably. A reputation service can help to reduce this risk by supporting the (automated) decision process of system integrators inquiring about potential partner organizations. This paper presents a service-based reputation system rooting trust in an organization’s inherent observable properties, called trust indicators. A taxonomy to classify trust indicators according to their semantic meaning is proposed. Furthermore, a stochastic trust indicator model based on distribution functions is presented, taking updates and trust indicator aggregation towards an overall reputation using Bayes theory into account as well.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Trust management; risk management; reputation systems; virtual organization; eOrganisation; stochastic modeling; Bayesian networks; design science research
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	14 Sep 2018 08:29
Last Modified:	21 Apr 2022 07:12
URI:	https://eref.uni-bayreuth.de/id/eprint/45797