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An algorithm to identify the most motivated employees

Lourdes Canós‐Darós (Department of Business Management, Universitat Politècnica de València, Valencia, Spain)

Management Decision

ISSN: 0025-1747

Article publication date: 26 April 2013

3475

Abstract

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.

Keywords

Citation

Canós‐Darós, L. (2013), "An algorithm to identify the most motivated employees", Management Decision, Vol. 51 No. 4, pp. 813-823. https://doi.org/10.1108/00251741311326581

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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