The fuzzy and dynamic nature of trust

  • Authors:
  • Elizabeth Chang;Patricia Thomson;Tharam Dillon;Farookh Hussain

  • Affiliations:
  • Centre for Extended Enterprise and Business Intelligence, Curtin Business School, Curtin University of Technology, Perth, Western Australia;Centre for Extended Enterprise and Business Intelligence, Curtin Business School, Curtin University of Technology, Perth, Western Australia;Faculty of Information Technology, University of Technology Sydney, Sydney, Australia;Centre for Extended Enterprise and Business Intelligence, Curtin Business School, Curtin University of Technology, Perth, Western Australia

  • Venue:
  • TrustBus'05 Proceedings of the Second international conference on Trust, Privacy, and Security in Digital Business
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Trust is one of the most fuzzy, dynamic and complex concepts in both social and business relationships. The difficulty in measuring Trust and predicting Trustworthiness in service-oriented network environments leads to many questions. These include issues such as how to measure the willingness and capability of individuals in the Trust dynamic and how to assign a concrete level of Trust to an individual or Agent. In this paper, we analyze the fuzzy, dynamic and complex nature of Trust. The dynamic nature of Trust creates the biggest challenge in measuring Trust and predicting Trustworthiness. In order to develop a Trustworthiness Measure and Prediction Method, we first need to understand what we can actually measure in a Trust Relationship.