Assessing the degree of balance between staff dispositions and their job positions using fuzzy logic
ČlánekStatus neznámýpeer-reviewedpublishedDatum publikování
2015
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Univerzita Pardubice
Abstrakt
Management of many Czech enterprises, especially SMEs, is able to respond flexibly to the current changes in their surroundings while using mainly the quality of its employees to gain a competitive advantage. Ever increasing is thus the importance of personal dispositions, skills and knowledge of employees that affect their work performance. It is undisputed that staff of the enterprise strongly influences all business operations, however, the measurement of these impacts is problematic, as they are mostly the so called soft factors. In terms of supporting the overall economic results of the company as well as in terms of ensuring employee satisfaction, it is, inter alia, very important to ensure the balance between the dispositions of a worker and his/her job function. This need not occur only in employee recruitment but also in job redeployment or in determining the cause of unsatisfactory work performance. This paper describes and makes use of an indicator, which in mathematical terms allows companies to evaluate the level of balance between staff dispositions and their job functions, not only by assessing an individual, but also by assessing individuals in relation to a group of workers and a group of jobs. The aim is to achieve an optimal balance between the skills of employees and their job functions. The indicator Degree of balance between the staff dispositions and job positions was constructed using fuzzy logic. Its use is shown in a real example that draws on the practice of a small enterprise engaged in assembling and servicing of hardware devices.
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p. 113-124
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1211-555X (Print)
1804-8048 (Online)
1804-8048 (Online)
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Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 34/2015
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balance between staff dispositions and their jobs, skills of staff, job performance, fuzzy sets, management of human resources, personnel economics