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.