An algorithm to identify the most motivated employees
Purpose – In this paper, the aim is to present an algorithm to identify the most motivated employees according to the corporate human resources policies applied in a knowledge‐based company. Design/methodology/approach – First, the author presents a complete table with motivation factors found in the literature. Then, a fuzzy tool, i.e. an adequacy index, is used in order to include subjectivity and uncertainty from personal perceptions both from employees and managers in the model. Findings – An algorithm to identify the most motivated employees according to corporate motivation policies designed by managers is found. Practical implications – Results provide information that can be used as a support for helping managers in decision making about training, promotion, leadership practices or team management. Originality/value – An exhaustive list that does not exist in the literature about motivation factors is presented as well as the proposal of measure and identification on most‐motivated employees is also a new idea.
Year of publication: |
2013
|
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Authors: | Canós‐Darós, Lourdes |
Published in: |
Management Decision. - Emerald Group Publishing Limited, ISSN 1758-6070, ZDB-ID 2023018-7. - Vol. 51.2013, 4, p. 813-823
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Publisher: |
Emerald Group Publishing Limited |
Subject: | Decision support systems | Fuzzy sets | Human resource management | Motivation (psychology) | Employees attitudes | Decision making |
Saved in:
Online Resource
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