Zainab, Amin and Awanis, Romli and Rahmah, Mokhtar and Mazlina, Abdul Majid (2017) The development of conceptual KPI model based on balanced scorecard measurement method for tacit knowledge of universities’ academic staff. Advanced Science Letters, 23 (11). pp. 11007-11011. ISSN 1936-6612. (Published)
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Abstract
The academic staffs represent the main knowledge resources in universities. The management and development of academic tacit knowledge, which is acquired through activities such as teaching and research is needed for sustained competitive advantage. However, measuring tacit knowledge of academicians, who are the key individuals in organisations, is difficult due to its intangibility. This may result in problems of identifying and determining the key individuals’ performance. Therefore, this paper proposes the development of a conceptual key performance indicator (KPI) model based on balance scorecard (BSc) approach by measuring the level and performance of tacit knowledge for academic staff in universities. The conceptual KPI model is developed by integrating financial and non-financial measurement indicators. These indicators used in the BSc approach to evaluate the success of a university according to the knowledge resources performance and profits from tacit knowledge.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Academic Staff; BSc; KPI; Knowledge Management; Knowledge Measurement; Tacit Knowledge |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering Institute of Postgraduate Studies |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 04 Nov 2022 09:26 |
| Last Modified: | 04 Nov 2022 09:26 |
| URI: | http://umpir.ump.edu.my/id/eprint/28973 |
| Download Statistic: | View Download Statistics |
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