Trust_CV: Reputation-based trust for collectivist digital business ecosystems

Abstract

This research proposes a trust and reputation model to support collectivist digital business ecosystems for regions such as Africa, where collectivist culture norms and behaviours are common. As trusting behaviour is strongly influenced by cultural norms and beliefs, trust should not only be considered from a technical perspective, but also from a cultural perspective. A multi-level group trust and reputation model is proposed to support group harmony using social network metrics. The implementation of the model ensures that collectivist communities are more comfortable when transacting with each other, thereby improving economic performance. The performance of Trustcv is measured through multi-agent simulations, giving interesting results when compared to simulations of existing trust models. The results indicate that Trustcv can successfully be used to support trust in collectivist digital business ecosystems.

Digital business ecosystem: Literature review and a framework for future research

“…These models largely offer similar solutions as frameworks. Examples of the DBE models include trust model (Isherwood & Coetzee, 2014), coordination model (Razavi, Moschoyiannis, & Krause, 2007) and situation retrieval model (Lu, Niu, & Zhang, 2013). Lastly, articles under the DBE modelling languages provide specific set of rules to express the blueprint of DBE objects.…”

Estimating the reputation of newcomer web services using a regression-Based method

“…Reputation management has been successfully studied in different computer science domains such as in e-commerce and online information systems (e.g. [45][46][47][48][49]), multi-agent systems (e.g. [50][51][52][53]), peer to peer (P2P) and social networks (e.g.…”

Using stratified privacy for personal reputation defense in online social networks

“…While there is increasing interest in developing methods to help enterprizes [24,36] and other social institutions to [32] improve their online image and reputation, the needed research is virtually non-existent. Social network systems take the position that reputation management is orthogonal to privacy, and users should be able to protect themselves by judiciously sharing sensitive information using the privacy tools they support.…”