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Titel
Artificial Intelligence and fuzzy logic in modern human resource management / Thomas Spengler, Tobias Volkmer, Sebastian Herzog
VerfasserSpengler, Thomas ; Volkmer, Tobias ; Herzog, Sebastian
ErschienenMagdeburg, Germany : Otto-von-Guericke-Universität Magdeburg, Fakultät für Wirtschaftswissenschaft, [2023]
Umfang1 Online Ressource (48 Seiten, 0,68 MB) : Diagramme
SpracheEnglisch
SerieWorking paper series ; 2023, no. 10
URNurn:nbn:de:gbv:3:2-992087 
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Artificial Intelligence and fuzzy logic in modern human resource management [0.68 mb]
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The corporate environment is always characterized by a high degree of volatility uncertainty complexity and ambiguity. These aspects influence Human Resource Management (HRM) just like other areas of the company. In the context of decision problems especially in HRM it is not always possible to specify all the considered variables precisely. A suitable instrument to deal with such fuzzy conditions is Fuzzy Logic (FL). This paper aims to give insights into this field and its possible applications in HRM. For this purpose selected theoretical foundations from the areas of HRM FL and Artificial Intelligence (AI) are presented first. Based on this situations in HRM are shown in which it can be useful to include FL in decision calculations. These concern e.g. problems of personnel allocation or considerations on the segmentation of labor forces. The paper is aimed at both practitioners and scholars.