An algorithm to identify the most motivated employees

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.

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.

An algorithm to identify the most motivated employees according to corporate motivation policies designed by managers is found.

Results provide information that can be used as a support for helping managers in decision making about training, promotion, leadership practices or team management.

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.