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http://hdl.handle.net/20.500.12188/10240
Title: | DELPHI METHOD APPLICATION TO FIND A MORE EFFICIENT MODEL FOR EVALUATING THE PERFORMANCE OF ADMINISTRATIVE SERVANTS | Authors: | Dimitrievski, Dejan Cvetkoska, Violeta |
Keywords: | qualitative forecasting, Delphi method, administrative servants, management of the effect, evaluation, work competencies | Issue Date: | 2020 | Publisher: | University of Belgrade, Technical Faculty in Bor, Department of Engineering Management | Source: | Dimitrievski, D. and Cvetkoska, V. (2020). Delphi Method Application to Find a More Efficient Model for Evaluating the Performance of Administrative Servants. In the Proceedings of the International May Conference on Strategic Management - IMCSM20, Vol. XVI, Iss. 1, pp. 274-284. | Conference: | International May Conference on Strategic Management | Abstract: | The aim of this paper is to evaluate the problems and challenges arising from the application of the process of evaluation of administrative servants and to identify the possibilities for changes in the process, in order to find a more efficient model that would maximize the benefits of the evaluation. The research is conducted by using the method of qualitative forecasting – the Delphi method, with the application of survey questionnaires in three rounds. Participants in the study are nine managers employed in a state institution, who answered the questionnaires between April 22 and May 12, 2020. The results of the research show that the evaluation procedure is not applied as imagined and thus does not give the intended results for which it was introduced. It is necessary to change the system for evaluation of administrative servants, either by revising some of the provisions in the current legislation, or by introducing a completely new system. | URI: | http://hdl.handle.net/20.500.12188/10240 |
Appears in Collections: | Faculty of Economics 02: Conference papers / Трудови од научни конференции |
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File | Description | Size | Format | |
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Proceedings_IMCSM20_Issue 1, Dejan and Violeta.pdf | 2.09 MB | Adobe PDF | View/Open |
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