An empirical study on development of information system evaluation indices: In case of public sectors

An empirical study on development of information system evaluation indices: In case of public sectors

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Article ID: iaor20042943
Country: South Korea
Volume: 28
Issue: 4
Start Page Number: 155
End Page Number: 190
Publication Date: Dec 2003
Journal: Journal of the Korean ORMS Society
Authors: ,
Keywords: computers: information
Abstract:

In this research, the comprehensive evaluation model of IS (information systems) for public sector is theoretically constructed through reviewing and integrating previous IS evaluation-related research. This model is hypothesized to consist of five sectors (System Sector, User Sector, Organization and Management Sector, Resource Management Sector and Strategic Contribution Sector), ten evaluation items belonging to these five evaluation sectors, and sixty two evaluation indices for these ten evaluation items. The results of empirical analyses to test the validity of the research model show that the evaluation sectors turn out to be the same ones as proposed in the hypothetical model. The evaluation items (System Quality, Information Quality, Service Quality) in System Sector proves to be consistent with the hypothetical model. However, in case of User Sector, two evaluation items (Perceived Usefulness and User Satisfaction) which are included in the hypothetical model are found to be merged into one item (User Satisfaction). And, it is shown that four evaluation items such as the Efficiency of Internal Process, Customer Satisfaction, Organizational Innovation, and the Degree of Informatization competence improvement are included in Organization and Management Sector, differently from the research model in which the items Organizational Innovation and the Degree of Informatization competence improvement are not divided. As a final result, sixty two evaluation indices that comprise all the evaluation items belonging to five sectors are found to be reduced to fifty seven ones through factor analyses, criterion-related validity tests and reliability analyses.

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