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| Format: | Recurso educativo Open Access |
| Language: | en |
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2012
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| Online Access: | https://eric.ed.gov/?id=ED555402 |
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| _version_ | 1867181922545827840 |
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| author | Moore, Annette G. |
| author_facet | Moore, Annette G. Moore, Annette G. |
| collection | Education Resources Information Center |
| contents | Measuring Information Technology Performance: Operational Efficiency and Operational Effectiveness Moore, Annette G. Information Technology Efficiency Program Effectiveness Measurement Techniques Longitudinal Studies Case Studies Statistical Analysis Models Surveys Self Evaluation (Groups) Statistical Data Costs This dissertation provides a practical approach for measuring operational efficiency and operational effectiveness for IT organizations introducing the ITIL process framework. The intent of the study was to assist Chief Information Officers (CIOs) in explaining the impact of introducing the Information Technology Infrastructure Library (ITIL) process framework has on information technology (IT) operations in terms organizational business unit leaders can understand. To determine operational efficiency, this longitudinal quantitative case study used a purchased, validated capability maturity model based (CMM-based) self-assessment survey to determine the significance of change on IT operational efficiency. The survey instrument was administrated twice, six-months apart, with the introduction of the ITIL process framework focusing on the Incident Management and Problem Management key process areas. A total of 43 participants answered the survey in October 2011 and 66 participants answered the survey in April 2012. The study employed The Art of Service's response analysis tool and a t-test analysis to determine the degree of change for operational efficiency. With a t-test result of p = 0.82, survey testing indicated no change in operational efficiency. The study analyzed survey demographic information using analysis of variance (ANOVA) tests to determine differences in the mean of organizational maturity between the groups and subgroups. To determine operational effectiveness, this current study exploited quantitative data from Company A's outage database for the study period, October 2011 through the end of March 2012. Newly introduced monthly reports focused on providing the outage data in the business term of the average monthly outage cost. The least square fit value of R[superscript 2] = 0.0004 for the average monthly outage cost for the period under study indicated no change in operational effectiveness. The results of both research questions indicated the introduction of the ITIL framework had no significant gain on either operational efficiency or operational effectiveness for Company A's IT department. However, one demographic ANOVA test had a result of p = 0.04 indicating a statistically significant difference for one study subgroup during the administration of the second survey. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] |
| format | Recurso educativo Open Access |
| id | eric_ED555402 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2012 |
| record_format | eric |
| spellingShingle | Measuring Information Technology Performance: Operational Efficiency and Operational Effectiveness Moore, Annette G. Information Technology Efficiency Program Effectiveness Measurement Techniques Longitudinal Studies Case Studies Statistical Analysis Models Surveys Self Evaluation (Groups) Statistical Data Costs Measuring Information Technology Performance: Operational Efficiency and Operational Effectiveness Moore, Annette G. Information Technology Efficiency Program Effectiveness Measurement Techniques Longitudinal Studies Case Studies Statistical Analysis Models Surveys Self Evaluation (Groups) Statistical Data Costs This dissertation provides a practical approach for measuring operational efficiency and operational effectiveness for IT organizations introducing the ITIL process framework. The intent of the study was to assist Chief Information Officers (CIOs) in explaining the impact of introducing the Information Technology Infrastructure Library (ITIL) process framework has on information technology (IT) operations in terms organizational business unit leaders can understand. To determine operational efficiency, this longitudinal quantitative case study used a purchased, validated capability maturity model based (CMM-based) self-assessment survey to determine the significance of change on IT operational efficiency. The survey instrument was administrated twice, six-months apart, with the introduction of the ITIL process framework focusing on the Incident Management and Problem Management key process areas. A total of 43 participants answered the survey in October 2011 and 66 participants answered the survey in April 2012. The study employed The Art of Service's response analysis tool and a t-test analysis to determine the degree of change for operational efficiency. With a t-test result of p = 0.82, survey testing indicated no change in operational efficiency. The study analyzed survey demographic information using analysis of variance (ANOVA) tests to determine differences in the mean of organizational maturity between the groups and subgroups. To determine operational effectiveness, this current study exploited quantitative data from Company A's outage database for the study period, October 2011 through the end of March 2012. Newly introduced monthly reports focused on providing the outage data in the business term of the average monthly outage cost. The least square fit value of R[superscript 2] = 0.0004 for the average monthly outage cost for the period under study indicated no change in operational effectiveness. The results of both research questions indicated the introduction of the ITIL framework had no significant gain on either operational efficiency or operational effectiveness for Company A's IT department. However, one demographic ANOVA test had a result of p = 0.04 indicating a statistically significant difference for one study subgroup during the administration of the second survey. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] |
| title | Measuring Information Technology Performance: Operational Efficiency and Operational Effectiveness |
| topic | Information Technology Efficiency Program Effectiveness Measurement Techniques Longitudinal Studies Case Studies Statistical Analysis Models Surveys Self Evaluation (Groups) Statistical Data Costs |
| url | https://eric.ed.gov/?id=ED555402 |