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Issue title: IT Service Management and Engineering: An Intelligent Decision-Making Support Systems Approach
Guest editors: Manuel Moraaw, Jorge Marx-Gómezx, Fen Wangy and Ovsei Gelmanz
Article type: Research Article
Authors: Valverde, Raul; * | Saade, Raafat George | Talla, Malleswara
Affiliations: John Molson Business School, Concordia University, Montreal, Canada | [w] Autonomous University of Aguascalientes, Aguascalientes, Mexico | [x] University of Oldenburg, Oldenburg, Germany | [y] Central Washington University, Ellensburg, WA, USA | [z] CCADET, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
Correspondence: [*] Corresponding author: Raul Valverde, John Molson Business School, Concordia University, Montreal, Canada. E-mail: rvalverde@jmsb.concordia.ca
Abstract: The Information Technology Infrastructure Library (ITIL) supports best practices, reengineering activities and IT service support processes. ITIL framework only provides recommendations, and companies need to utilize this framework to improve their IT service support processes and establish best practices. This study provides a methodology on how to apply the ITIL framework for evaluating the IT service support processes, its reengineering and alignment to best practices, and subsequent integration into a decision support system framework. A case study approach was used to identify a set of Key Performance Indicators (KPI) which were monitored by a decision support system (DSS) for triggering on-going reengineering of IT service support processes. This paper focuses on the implementation of the ITIL guidelines at the operational level, improvement of the service desk, and incident, problem, change, release, and configuration management. It also presents the implementation of the ITIL guidelines at the tactical level for the improvement of the service level, capacity, IT service continuity, service availability, and security management. We conclude by providing recommendations for future research.
Keywords: Information technology infrastructure library, key performance indicators, decision support system
DOI: 10.3233/IDT-130182
Journal: Intelligent Decision Technologies, vol. 8, no. 2, pp. 111-130, 2014
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