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Developing service assessment metrics

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Published:12 November 2011Publication History

ABSTRACT

Developing performance metrics for assessing the efficiency of services is a growing need within organizations. The Engineering Information Technology (EIT) Department at Michigan Technological University (MTU) is a service-based organization. The User Services branch of EIT responds to a wide range IT service requests from users and attempts to resolve them with as little delay as possible. This paper presents a methodology to develop a metric that can be used to establish the level of service for MTU EIT. The current service delivery was assessed using a two pronged approach: by statistically characterizing the service times using historical service request records, and by accounting for both the service providers' and users' perception of the current service delivery using a structured survey. Using this analysis, and the idea of a service being a shared platform for co-creation of value, between service provider and customer, a trade-off based model was developed to identify the level of service that EIT can deliver given its resource constraints. A Senior Design project team in the Service Systems Engineering program conducted the work in this paper.

References

  1. Kettinger, W.J., and Lee, C. C. 2007. Perceived Service Quality and User Satisfaction with the Information Services Function. Decision Sciences. 25, 5--6, 737--766. DOI=10.1111/j.1540--5915.1994.tb01868.xGoogle ScholarGoogle Scholar
  2. Ives, B., Olson, M.H., and Baroudi, J. J. 1983. The measurement of User Information Satisfaction. Magazine, Communications of the ACM, 26 (10). DOI=10.1145/358413.358430 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Leitheiser, R.L. and Wetherbe, J.C. 1986. Service Support Levels: An Organized Approach to End-User Computing. MIS Quarterly, 10(4), 337--349. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Luftman, J., Brown, C.V., and Balaji, S. 2011. Customer-Provider Strategic Alignment: A Maturity Model. In Service System Implementation in series, Service Science: Research and Innovation in the Service Economy, Ed. Demirkan, H., Spohrer, J.C., and Krishna, V., Springer US. 145--163. DOI=10.1007/978--1--4419--7904--9_9Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        SIGUCCS '11: Proceedings of the 39th annual ACM SIGUCCS conference on User services
        November 2011
        248 pages
        ISBN:9781450310239
        DOI:10.1145/2070364

        Copyright © 2011 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 12 November 2011

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