Innovative decision support for IT service management

Shrestha, Anup and Cater-Steel, Aileen and Toleman, Mark (2016) Innovative decision support for IT service management. Journal of Decision Systems, 25 (Supplement 1). pp. 486-499. ISSN 1246-0125

Abstract

The IT Service Management (ITSM) industry has defined processes as best practices in the widely-accepted IT Infrastructure Library (ITIL®) framework. However, there are few tools available to provide decision support to IT Service Managers who wish to improve service management processes. It is essential to assess the current capability of processes before process improvements are planned. Our research addressed the problems of the lack of transparency and the need for efficiency in ITSM process assessment. Using the Design Science Research methodology, we developed an innovative Software-mediated Process Assessment (SMPA) approach that automates assessment of ITSM processes and supports the decision making of IT Service Managers. The SMPA approach includes process selection, an online survey to collect assessment data, measurement of process capability and specific recommendations for managers to commence process improvement. We implemented a decision support system (DSS) to automate the SMPA approach and evaluated it at two IT service providers. The evaluations indicated that the SMPA approach supports decision-making on process improvements. In the future, data analytics performed on the assessment data can help IT managers to analyse and visualise the ‘big data’ of process knowledge.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 26 Jul 2016 04:40
Last Modified: 18 Apr 2018 06:10
Uncontrolled Keywords: IT service management; process assessment; decision support system; design science research method
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1080/12460125.2016.1187424
URI: http://eprints.usq.edu.au/id/eprint/29511

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