NENIČKOVÁ, Zuzana. Employee Evaluation - Case Study Using Eigenvector Method. In International conference on Decision making for Small and Medium-Sized Enterprises. Conference Proceedings. Karviná: Silesian University in Opava, School of Business Administration in Karviná, 2017. p. 93-98. ISBN 978-80-7510-243-0.
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Basic information
Original name Employee Evaluation - Case Study Using Eigenvector Method
Authors NENIČKOVÁ, Zuzana (203 Czech Republic, guarantor, belonging to the institution).
Edition Karviná, International conference on Decision making for Small and Medium-Sized Enterprises. Conference Proceedings, p. 93-98, 6 pp. 2017.
Publisher Silesian University in Opava, School of Business Administration in Karviná
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10103 Statistics and probability
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/47813059:19520/17:00010969
Organization unit School of Business Administration in Karvina
ISBN 978-80-7510-243-0
Keywords in English Eigenvector Method; Employee Evaluation; Priorities
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/2/2020 10:58.
Abstract
The employee evaluation is one of the key activities of human resources management in organizations. The result of this process influences career, motivation and rewarding. Management by objectives, behaviorally anchored rating scales, comparative methods or assessment centre are methods used in employee evaluation in organizations. Some supplementary methods can be applied. The aim of this paper is to introduce employee evaluation, the analytic hierarchy process and the eigenvector method briefly and to apply this method in a case study. The case study demonstrates employee evaluation process in one medium-sized enterprise focused on high-tech. The usual way of determining results applied in the selected company is total sum of points. Modification of this procedure by eigenvector method is suggested in this paper. This modification takes different priorities of factors in consideration. Results gained by both methods are compared.
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