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...
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| Veröffentlicht in: | Management decision |
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| 1. Verfasser: | |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
2013
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Tag hinzufügen | Zusammenfassung: | 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. |
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| ISSN: | 0025-1747 |