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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10484/1170
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| Title: | Application of Strategic Institutional-Information Technology
Alignment Model in Four-Year Institutions of Higher Education |
| Authors: | Lach-Smith, Barbara |
| Issue Date: | 22-Sep-2010 |
| Abstract: | This study examined an existing corporate model of business-information technology
alignment for application in higher education and tested the findings by surveying executive and
technology leaders in higher education. The purpose of this study was to gain a better
understanding of the factors that impact alignment between institutional strategic planning and
information technology strategy in higher education. The existing alignment model was
examined in the context of mid-size four-year colleges and universities.
This study used a combination of Delphi technique and a survey process. The sequence
followed was to examine an existing theoretical model for its applicability to higher education by
a Delphi expert panel, to pilot test the results of the Delphi in a survey of mid-size four-year
institutions of higher education and to analyze the results. In the first phase, the Delphi method
was used in two rounds to examine the Strategic Alignment Model (SAM) for application in
higher education. An assembled panel of experts examined SAM, its components and
questionnaire instrument, and reached a consensus after two rounds about the model’s
applicability to higher education. The second phase of the study tested the Delphi panel’s
findings by asking Chief Information Officers and Chief Executive Officers from four-year U.S.
institutions of higher education to complete SAM’s instrument that was modified by the Delphi.
The Delphi panel findings supported the use of the Strategic Alignment Model in higher
education with some revisions of its terms to reflect the higher education environment more
accurately. Several factors affecting institutional-IT alignment in higher education were identified. Factors associated with domain components of the SAM model as well as factors
relating to bivariate linkages between the components of the model were revealed. |
| URI: | http://hdl.handle.net/10484/1170 |
| In Collections: | Department not Listed
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