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dc.contributor.authorIvlev, Ilya
dc.contributor.authorKneppo, Peter
dc.contributor.authorBarták, Miroslav
dc.date.accessioned2016-01-26T06:49:53Z
dc.date.available2016-01-26T06:49:53Z
dc.date.issued2015
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2015, č. 2, s. 57-72.cs
dc.identifier.issn2336-5604 (Online)
dc.identifier.issn1212-3609 (Print)
dc.identifier.urihttp://www.ekonomie-management.cz/download/1433862245_5065/05_METHOD+FOR+SELECTING+EXPERT+GROUPS.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17610
dc.format16 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.subjectskupinové rozhodovánícs
dc.subjectexpertní kritéria výběrucs
dc.subjectlékařské vybavenícs
dc.subjectsebehodnocenícs
dc.subjectváhový faktorcs
dc.titleMethod for selecting expert groups and determining the importance of expert´s judgments for the purpose of managerial decision-making tasks in health systemen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis 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.en
dc.subject.translatedgroup decision makingen
dc.subject.translatedexpert selection criteriaen
dc.subject.translatedmedical equipmenten
dc.subject.translatedself- assessmenten
dc.subject.translatedweighting factoren
dc.identifier.doidx.doi.org/10.15240/tul/001/2015-2-005
dc.type.statusPeer-revieweden
Appears in Collections:Číslo 2 (2015)
Číslo 2 (2015)

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