Rule-based systems for leadership style selection

Kim Michelle Siegling, Thomas Spengler and Sebastian Herzog
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Kim Michelle Siegling: Faculty of Economics and Management, Otto-von-Guericke University Magdeburg
Thomas Spengler: Faculty of Economics and Management, Otto-von-Guericke University Magdeburg
Sebastian Herzog: Faculty of Economics and Management, Otto-von-Guericke University Magdeburg

No 23007, FEMM Working Papers from Otto-von-Guericke University Magdeburg, Faculty of Economics and Management

Abstract: In personnel economics, the choice of a leadership style is about the question of how a supervisor should lead his or her employees in such a way that operational goals are achieved. In this paper, we assume that such leadership decisions are made according to the situation. Thus, the optimal or at least a permissible leadership style has to be selected from a set of several possible leadership styles. For this choice a wide range of models has been developed in the scientific literature, from which we want to pick out and focus on the so-called normative decision model by Vroom & Yetton (Vroom/Yetton 1973). While the original model is based on univocal rules, in this paper we develop a fuzzy rule system.

Keywords: leadership; leadership styles; rule-based systems; fuzzy logic (search for similar items in EconPapers)
JEL-codes: A20 A22 A23 C60 M12 M21 M51 (search for similar items in EconPapers)
Pages: 50 pages
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:mag:wpaper:23007

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