An analysis of privacy signals on the World Wide Web: Past, present and future
Information Sciences: an International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
International Journal of Communication Networks and Distributed Systems
Trust estimation in a virtual team: A decision support method
Expert Systems with Applications: An International Journal
A goal-oriented trust model for virtual organization creation
Journal of Intelligent Manufacturing
Context-sensitive trust computing in distributed environments
Knowledge-Based Systems
Journal of Network and Computer Applications
Collaboration-based medical knowledge recommendation
Artificial Intelligence in Medicine
A QoS-based fine-grained reputation system in the grid environment
Concurrency and Computation: Practice & Experience
A multi-criteria ranking framework for partner selection in scientific collaboration environments
Decision Support Systems
Hi-index | 0.00 |
The main motivation for organizations and individuals to collaborate is to enable knowledge and resource sharing in order to effectively fulfil a joint business opportunity. This correspondence focuses on virtual organizations (VOs) and virtual teams (VTs), whose strengths lie in the range of competencies of their members, offered jointly through collaboration. One of the difficulties in VO and VT creation is partner selection using partners' mutual trust as one of the selection criteria. This correspondence provides an analysis of trust relationships based on the principal-agent theory, and proposes an approach to hierarchical multiattribute decision-support-based trust estimation applied to a network of collaborating organizations (VO) and a network of collaborating individuals (VT). The correspondence presents two case studies, one using a questionnaire-based approach and the other using automated reputation and collaboration estimation from data gathered by Web crawling