Abstract:
The growing development in web-based trust
and reputation systems in the 21st century will
have powerful social and economic impact on all
business entities, and will make transparent
quality assessment and customer assurance
realities in the distributed web-based service
oriented environments. The growth in web-based
trust and reputation systems will be the
foundation for web intelligence in the future.
Trust and Reputation systems help capture
business intelligence through establishing
customer relationships, learning consumer
behaviour, capturing market reaction on products
and services, disseminating customer feedback,
buyers’ opinions and end-user recommendations,
and revealing dishonest services, unfair trading,
biased assessment, discriminatory actions,
fraudulent behaviours, and un-true advertising.
The continuing development of these technologies
will help in the improvement of professional
business behaviour, sales, reputation of sellers,
providers, products and services.
In this paper, we present a new methodology
known as CCCI (Correlation, Commitment, Clarity,
and Influence) for trustworthiness measure that is
used in the Trust and Reputation System. The
methodology is based on determining the
correlation between the originally committed
services and the services actually delivered by a
Trusted Agent in a business interaction over the
service oriented networks to determine the
trustworthiness of the Trusted Agent.
