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An incorporated RUU model for multi-agent systems in e-commerce

Purpose The purpose of this paper is to enhance trust in e-commerce multi-agent systems by presenting a model, called RUU, to select the most trustworthy provider agent based on learning from previous interactions and computing reliability, unreliability and uncertainty. Design/methodology/approach...

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Main Authors: Majd, Elham, Hobson, Mark
Format: Article
Published: Emerald Group Publishing Ltd 2020
Subjects:
HF Commerce
Business
Online Access:http://eprints.um.edu.my/36535/
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spelling my.um.eprints.365352024-10-28T13:46:51Z http://eprints.um.edu.my/36535/ An incorporated RUU model for multi-agent systems in e-commerce Majd, Elham Hobson, Mark HF Commerce Business Purpose The purpose of this paper is to enhance trust in e-commerce multi-agent systems by presenting a model, called RUU, to select the most trustworthy provider agent based on learning from previous interactions and computing reliability, unreliability and uncertainty. Design/methodology/approach The methodology comprises analyzing the most representative existing trust models, while a new concept was proposed and measured as unreliability. To make decision about the agents, RUU integrated reliability, unreliability and uncertainty components and used the TOPSIS multi-criteria decision method to select the most trustworthy provider agent. To evaluate the RUU model, the experimentation was carried out in two stages. First, the average accuracy of the model was investigated by simulating RUU in a multi-agent environment. Second, the performance of the model was compared with other related trust models. Findings The experimental results revealed that RUU model outperforms current models in providing accurate credibility measurements and computing an accurate trust mechanism for agents, also presenting a decision-making process to choose the most trustworthy provider agent. Research limitations/implications The model presented based on different mathematical computations that take time to be calculated, which is a big limitation of computational models. Practical implications RUU enables an agent to make effective and sound decisions in light of the uncertainty that exists in e-commerce multi-agent environments. Originality/value This paper is beneficial to enhance the fulfilment of purchasing between provider and requester agents. In fact, the proposed model can ensure critical transactions performed securely in e-commerce multi-agent environments. Emerald Group Publishing Ltd 2020-09 Article PeerReviewed Majd, Elham and Hobson, Mark (2020) An incorporated RUU model for multi-agent systems in e-commerce. Journal of Enterprise Information Management, 33 (5, SI). pp. 905-921. ISSN 17410398, DOI https://doi.org/10.1108/JEIM-09-2019-0278 <https://doi.org/10.1108/JEIM-09-2019-0278>. 10.1108/JEIM-09-2019-0278
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic HF Commerce
Business
spellingShingle HF Commerce
Business
Majd, Elham
Hobson, Mark
An incorporated RUU model for multi-agent systems in e-commerce
description Purpose The purpose of this paper is to enhance trust in e-commerce multi-agent systems by presenting a model, called RUU, to select the most trustworthy provider agent based on learning from previous interactions and computing reliability, unreliability and uncertainty. Design/methodology/approach The methodology comprises analyzing the most representative existing trust models, while a new concept was proposed and measured as unreliability. To make decision about the agents, RUU integrated reliability, unreliability and uncertainty components and used the TOPSIS multi-criteria decision method to select the most trustworthy provider agent. To evaluate the RUU model, the experimentation was carried out in two stages. First, the average accuracy of the model was investigated by simulating RUU in a multi-agent environment. Second, the performance of the model was compared with other related trust models. Findings The experimental results revealed that RUU model outperforms current models in providing accurate credibility measurements and computing an accurate trust mechanism for agents, also presenting a decision-making process to choose the most trustworthy provider agent. Research limitations/implications The model presented based on different mathematical computations that take time to be calculated, which is a big limitation of computational models. Practical implications RUU enables an agent to make effective and sound decisions in light of the uncertainty that exists in e-commerce multi-agent environments. Originality/value This paper is beneficial to enhance the fulfilment of purchasing between provider and requester agents. In fact, the proposed model can ensure critical transactions performed securely in e-commerce multi-agent environments.
format Article
author Majd, Elham
Hobson, Mark
author_facet Majd, Elham
Hobson, Mark
author_sort Majd, Elham
title An incorporated RUU model for multi-agent systems in e-commerce
title_short An incorporated RUU model for multi-agent systems in e-commerce
title_full An incorporated RUU model for multi-agent systems in e-commerce
title_fullStr An incorporated RUU model for multi-agent systems in e-commerce
title_full_unstemmed An incorporated RUU model for multi-agent systems in e-commerce
title_sort incorporated ruu model for multi-agent systems in e-commerce
publisher Emerald Group Publishing Ltd
publishDate 2020
url http://eprints.um.edu.my/36535/
_version_ 1814933198996504576
score 13.211869

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