IT service management: towards a contingency theory of performance measurement
Paper
Paper/Presentation Title | IT service management: towards a contingency theory of performance measurement |
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Presentation Type | Paper |
Authors | Gacenga, Francis (Author), Cater-Steel, Aileen (Author), Tan, Wui-Gee (Author) and Toleman, Mark (Author) |
Journal or Proceedings Title | Proceedings of the 32nd International Conference on Information Systems (ICIS 2011) |
Journal Citation | 3, pp. 2589-2606 |
Number of Pages | 28 |
Year | 2011 |
Place of Publication | Atlanta, GA. United States |
ISBN | 9781618394729 |
Web Address (URL) of Paper | http://aisel.aisnet.org/icis2011/proceedings/servicescience/5 |
Conference/Event | 32nd International Conference on Information Systems (ICIS 2011) |
Event Details | Rank A A A A A A A A A A A A A A A A A A A A |
Event Details | 32nd International Conference on Information Systems (ICIS 2011) Parent International Conference on Information Systems (ICIS) Delivery In person Event Date 04 to end of 07 Dec 2011 Event Location Shanghai, China |
Abstract | Information Technology Service Management (ITSM) focuses on IT service creation, design, delivery and maintenance. Measurement is one of the basic underlying elements of service science and this paper contributes to service science by focussing on the selection of performance metrics for ITSM. Contingency theory is used to provide a theoretical foundation for the study. Content analysis of interviews of ITSM managers at six organisations revealed that selection of metrics is influenced by a discrete set of factors. Three categories of factors were identified: external environment, parent organisationand IS organisation. For individual cases, selection of metrics was contingent on factors such as organisation culture, management philosophy and perspectives, legislation, industry sector, and customers, although a common set of four factors influenced selection of metrics across all organisations. A strong link was identified between the use of a corporate performance framework and clearly articulated ITSM metrics. |
Keywords | IT service management; contingency theory; content analysis; IT infrastructure library; performance measurement; service science |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Information Systems |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q157x/it-service-management-towards-a-contingency-theory-of-performance-measurement
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