Pregled bibliografske jedinice broj: 915011
Selecting Key Performance Indicators in Universities – Academic perspective
Selecting Key Performance Indicators in Universities – Academic perspective // Proceedings of XVII International Scientific Conference on Industrial Systems IS'17 / Anderla, Andraš (ur.).
Novi Sad, 2017. str. 518-521 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Selecting Key Performance Indicators in Universities – Academic perspective
Autori
Tasić, Nemanja ; Delić, Milan ; Maksimović, Rado ; Lalić, Bojan ; Ćukušić, Maja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of XVII International Scientific Conference on Industrial Systems IS'17
/ Anderla, Andraš - Novi Sad, 2017, 518-521
ISBN
978-86-7892-978-6
Skup
XVII International Scientific Conference on Industrial Systems IS'17
Mjesto i datum
Novi Sad, Srbija, 04.10.2017. - 06.10.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Key Performance Indicators, Selection of Indicators, Relevance, University
Sažetak
In recent years, the systems of performance indicators occur in terms of the increasing importance of analyzing peformances of Higher Education Institutions in order to increase the effectiveness and efficiency, with the most rational use of resources and greater transparency. In the process of developing a system for monitoring performance, the selection of indicators requires special attention when taking into account different needs of stakeholders. Among different criteria for selection of indicators, a detailed study may be focused on the relevance of key indicators for teaching staff. This paper presents the results of the pilot phase of the research in the field of relevance of performance indicators at the Faculty of Technical Sciences, University of Novi Sad, within the teaching population of the Department of Industrial Engineering and Management. The pilot phase included 59 respondents from a total of 140 teachers who make up the target population. The obtained data were analyzed using Mean- Variance method which is used to rank indicators by relevance and which is basis for further analysis and comparison of results with other groups of stakeholders in determining the common set of key performance indicators.
Izvorni jezik
Engleski