Title:	Method for selecting expert groups and determining the importance of expert´s judgments for the purpose of managerial decision-making tasks in health system
Authors:	Ivlev, Ilya Kneppo, Peter Barták, Miroslav
Citation:	E+M. Ekonomie a Management = Economics and Management. 2015, č. 2, s. 57-72.
Issue Date:	2015
Publisher:	Technická univerzita v Liberci
Document type:	článek article
URI:	http://www.ekonomie-management.cz/download/1433862245_5065/05_METHOD+FOR+SELECTING+EXPERT+GROUPS.pdf http://hdl.handle.net/11025/17610
ISSN:	2336-5604 (Online) 1212-3609 (Print)
Keywords:	skupinové rozhodování;expertní kritéria výběru;lékařské vybavení;sebehodnocení;váhový faktor
Keywords in different language:	group decision making;expert selection criteria;medical equipment;self- assessment;weighting factor
Abstract in different language:	This work aims to develop a methodology for determining the qualitative composition of an expert group and the weighting factor regarding the importance of expert’s judgments for the purpose of participating in decision-making. It is based on the expert’s overall work experience, experience in solving tasks, level of education and scienti fi c record, interest in solving the particular task, current position and awareness of how to solve the task. This study also considered the relevance of the expert’s knowledge and the overall self-evaluation concerning their total competence in solving the task. For the purpose of validating the methodology, 96 potential experts (physicians, biomedical engineers, radiological assistants, medical physicists, etc.) from 72 health facilities in the Czech Republic were interviewed through a web-based questionnaire. The calculation model that was selected was able to eliminate errors in estimating the proportionality of extreme values and reduces the impact of uncertainty in the experts’ overall self-evaluations concerning their total competence. A statistically signi fi cant correlation was found between the complex weighting factor and the following characteristics: the expert’s experience in dealing with similar tasks (r = 0.512, p < 0.001), the expert’s theoretical background (awareness) and the relevance of the expert’s knowledge (r = 0.440, p < 0.001), the expert’s current position (r = 0.319, p = 0.002) and the level of his or her education and scienti fi c record (r = 0.280, p = 0.007). The developed methodology may be especially useful in scienti fi c and technological forecasting, medical and managerial decision- making, quality assessment and operational research.
Rights:	© Technická univerzita v Liberci CC BY-NC 4.0
Appears in Collections:	Číslo 2 (2015) Číslo 2 (2015)

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