A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Managing cross-cultural issues in global software outsourcing
Communications of the ACM - Human-computer etiquette
Information systems outsourcing: a survey and analysis of the literature
ACM SIGMIS Database
An ontology-based multi-agent system conceptual model
International Journal of Computer Applications in Technology
ODISET: On-line distributed session tracing using agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
International Journal of Intelligent Engineering Informatics
Review: Recent developments in the organization goals conformance using ontology
Expert Systems with Applications: An International Journal
Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
In recent years the widespread application of outsourcing to help improve finance and maintain competitiveness is growing rapidly, and has been accompanied by a growth of academic research in this field. Most of the outsourcing literature has focused primarily on the social and cultural impacts, the organisational and management perspectives of outsourcing and very few tools have been developed to assist managers in making outsourcing decisions. Incorrect decision-making in outsourcing can lead to devastating consequences for their business. To guide decision makers in managing the complexity of outsourcing a holistic approach to outsourcing has been developed by taking business, information and organisational perspectives (HABIO). The purpose of this paper is to demonstrate how HABIO can be applied to help managers evaluate the impact of their decision-making by providing them with a set of 'what-if' scenarios, which are enacted by intelligent agents. The case example, discussed in this paper, demonstrates that HABIO can be applied effectively using a multi-agent system to analyse the outsourcing decision for a call centre sector in the retail industry. A prototype of the multi-agent system is presented where intelligent agents are endowed with specific domain ontologies, appropriate to solve a specific problem, and with a reasoning mechanism to achieve specific goals and to collaborate together to produce a set of ''what-if scenarios'' to the outsourcing managers.