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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: Mora, M.a; * | Phillips-Wren, Gloriab | Marx-Gomez, Jorgec | Wang, F.d | Gelman, O.e
Affiliations: [a] Autonomous University of Aguascalientes, AGS, Mexico | [b] Loyola University Maryland, Baltimore, MD, USA | [c] University of Oldenburg, Oldenburg, Germany | [d] Central Washington University, Seattle, WA, USA | [e] CCADET, Universidad Nacional Autónoma de México, Tlalpan, DF, México | [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: M. Mora, Autonomous University of Aguascalientes, AGS, Mexico. E-mail: [email protected]
Abstract: Decision Making Support Systems (DMSS) are computer-based systems specialized to support some, several, or all phases of a decision-making process. DMSS can be deployed using traditional and intelligent computing mechanisms. In turn, Information Technology Service Management (ITSM) is a managerial approach to deliver organizational value through the provision of IT services. For this aim, new processes have been proposed to handle multiple managerial and operational decisional situations. Hence, whereas simple decisions can be efficiently and effectively realized by ITSM practitioners without a support tool, inherent human limitations to process large, varied data sets preclude achieving good decisions when the decisions are of moderate and high complexity. Thus, we posit that for achieving enhancements in the application of ITSM process in organizations, DMSS should be used. This article elaborates the case of the role of decision-making support systems (DMSS) in IT service management (ITSM) processes.
Keywords: ITSM, intelligent DMSS, DSS, decision-making process, ITIL v3
DOI: 10.3233/IDT-130184
Journal: Intelligent Decision Technologies, vol. 8, no. 2, pp. 147-163, 2014
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