A New Information Management Model for Measuring the Institutional Performance

Zuhair A. Al-Hemyari and Abdullah M. Al-Sarmi ()
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Zuhair A. Al-Hemyari: University of Nizwa, P. O. Box 33, PC 616, Nizwa, Oman

Journal of Information & Knowledge Management (JIKM), 2023, vol. 22, issue 04, 1-31

Abstract: The purpose of this paper is to develop a Knowledge Management (KM) model in order to investigate and monitor the performance of HEIs in Oman. In this paper, a KM model of five KM components based on the relative performance factor and a critical set of 22 indicators from an original set of 180 indicators are proposed and outlined; in terms of the use of the KM categories and selected indicators, the performance of 30 Higher Education Institutions was measured and studied. In this paper, the literature and related approaches were studied. A KM model which is based on the five main components of KM, relative performance factor, indicators, weights, and data collection was proposed. Three types of data were collected from institutions to calculate the indicators/the relative performance factor, and several tests were carried out. In addition, the conceptualisation and operationalisation processes of the model are discussed. The proposed KM model was implemented in all the private institutions and the obtained results show the applicability and accuracy of the technique, and the proposed technique was compared with the classical approach. The results of the proposed approach have been tested and analysed comprehensively: these results of the statistical tests of the aforementioned proposed approach show a high level of accuracy of the results, and that the results of institutions differ significantly one from another, and also that the differences between institutions are not due to any random factor. The discussion of the numerical results shows that the performance of HEIs was placed in three categories. The findings of the paper highlight the performance of HEIs and they give significant evidence to individual HEIs and to the stakeholders so as to allow them to act on the findings and distinguish between them in terms of the actual performance.

Keywords: Knowledge management; knowledge management tools; data collection; performance indicators; relative performance index (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219649223500119

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