S

Towards an Agent-Oriented Business Collaboration Model

Show simple item record

dc.contributor.author Wamuyu, Patrick Kanyi
dc.date.accessioned 2021-04-06T18:15:23Z
dc.date.available 2021-04-06T18:15:23Z
dc.date.issued 2018
dc.identifier.uri http://erepo.usiu.ac.ke/11732/6499
dc.description A Journal article by Dr. Patrick Kanyi Wamuyu, an Associate Professor of Information Technology at the School of Science and Technology in USIU- Africa Full Article: https://doi.org/10.4018/IJDAI.2018070101 en_US
dc.description.abstract Business collaborations have gained prominence in many domains mediated by information technology platforms. These collaborations, normally referred to as virtual enterprises (VEs) consider varying core competencies of participants. The VEs' dynamic nature requires participants to be dynamically selected and engaged. This requires a flexible systematic approach, lacking in existing literature, to handle varying forms of VEs. This study aims to consider a VE from an enterprise integration viewpoint and to develop an agent-based model that supports the VE's formation and operation phases. This model will provide support to business managers in making decisions efficiently by delegating part of the processes to software agents. An agent-based VE (ABVE) model prototype is developed. Case studies from various domains are used in the demonstration of the model's applicability and possible generalization. After evaluation it is shown that users are motivated to use the model as an effective tool for VE formation and collaborations in diverse domains with an 88.86% acceptance rate. en_US
dc.publisher IGI Global en_US
dc.subject Agent-Oriented en_US
dc.subject Business Collaboration en_US
dc.subject Model en_US
dc.title Towards an Agent-Oriented Business Collaboration Model en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Repository


Browse

My Account