Applying linguistic decision-making method to deal with service quality evaluation problems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
KnowledgeScope: managing knowledge in context
Decision Support Systems
Self-management information system for the service industry: a conceptual model
Journal of Management Information Systems - Special issue: Information technology and organization design
Developing a knowledge-based perspective on coordination: The case of global software projects
Information and Management
A Web-based quality management system and its implementation in a computer assembly industry
International Journal of Computer Applications in Technology
Overcoming the challenges of automating and integrating virtual product development processes
International Journal of Computer Applications in Technology
Fuzzy neural networks enhanced evaluation of wetland surface water quality
International Journal of Computer Applications in Technology
ANN-based predictive model for performance evaluation of paper and pulp effluent treatment plant
International Journal of Computer Applications in Technology
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Managing service quality in outsourcing requires a holistic approach to managing knowledge. This need is more pronounced in case of outsourcing of high-end tasks such as engineering designs. As complex tasks are carried out large amounts of multi-structured transactional data are captured during service delivery, more often appearing as text. This qualitative operational data has rich knowledge embedded in it. This paper aims to demonstrate a way of extracting knowledge from such operational data for improving service quality. The study uses simulation as a method of inductive research. Simulation model of a self-learning system for extracting knowledge from operational data are created. The proposed artificial intelligence system integrates natural language processing and rule-based reasoning for knowledge creation. Finally, with a view to demonstrate the potential of the proposed system, a real prototype industry application is described.