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The measurement of employee motivation by using multi-factor statistical analysis

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dc.title The measurement of employee motivation by using multi-factor statistical analysis en
dc.contributor.author Zámečník, Roman
dc.relation.ispartof Procedia Social and Behavioral Sciences
dc.identifier.issn 1877-0428 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2014
utb.relation.volume 109
dc.citation.spage 851
dc.citation.epage 857
dc.event.title 2nd World Conference on Business, Economics and Management (BEM)
dc.event.location Antalya
utb.event.state-en Turkey
utb.event.state-cs Turecko
dc.event.sdate 2013-04-25
dc.event.edate 2013-04-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Elsevier Science B.V.
dc.identifier.doi 10.1016/j.sbspro.2013.12.553
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S1877042813051926
dc.subject employee motivation en
dc.subject motivation programs en
dc.subject analysis of motivation factors en
dc.subject cluster analysis en
dc.description.abstract The proposal and implementation of an effective motivation program is one of the key management tasks of a company. Improperly designed and applied motivation programs can have a negative impact on employees, who are not motivated to achieve maximum performance. The paper will also deal with the problems of employee motivation and the motivation programs in a selected industrial company. The motivation structure analysis will be based on the general knowledge of the theory of motivation, together with the analysis of the employees' motivation profiles. The fundamental tool used in this process is a cluster analysis and its usage in the creation of motivation programs. The analysis of motivation factors and their order will be made according to the level of importance they have for the employees, which will be assessed by the Questionnaire Method. The Cluster Analysis will be used due to the possibility of creating various types of motivation programs. The result will be a proposal for the creation of methodological unified motivation programs by using multi-factor statistical analysis (cluster analysis). On the basis of the results obtained from our analysis, we will be able to determine if it is possible to develop a unified motivation program for employees within a selected industrial company. (C) 2014 The Authors. Published by Elsevier Ltd. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003813
utb.identifier.obdid 43872440
utb.identifier.wok 000335570200142
utb.source d-wok
dc.date.accessioned 2014-07-18T08:15:38Z
dc.date.available 2014-07-18T08:15:38Z
dc.rights Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.access openAccess
utb.contributor.internalauthor Zámečník, Roman
utb.fulltext.affiliation Roman Zámečník a * a Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, Zlín 760 01, Czech Republic * Corresponding Author: Roman Zámečník. Tel.: +420-576-032 528 ; E-mail address: zamecnik@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship -
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utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou -
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Attribution-NonCommercial-NoDerivs 3.0 Unported Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NonCommercial-NoDerivs 3.0 Unported