In any hiring process, the employer pays particular attention to the candidates' personalities and learning capacities.
However, there is no tool for measuring the significance of different learning stages to job performance. Pascale L. Denis, a researcher in the School of Management Sciences at UQAM, in collaboration with PhD candidate Éliane Bergeron, conducted the only study to date to have developed and validated a scale for measuring job learning stages.
When establishing a selection process, an employer must take into account the level of learning required by the job being offered.
Skills are acquired in three stages: familiarization with the task, skills development and autonomy. Employees move from a transition stage (learning) to a maintenance stage (skills are performed with little effort). The researcher also empirically tested the role of these stages in performance prediction. Denis's work shows that when establishing a selection process, an employer must take into account the level of learning required by the job being offered. Thus, the performance predictors for a complex position are different than those for a position requiring little learning.
By integrating a job's inherent learning stages into the selection process, an organization will maximize the chances of selecting the right candidate and foster employee well-being, while optimizing the performance of the organization as a whole.
This study has been the subject of presentations in the United States and Germany, and a number of scientific articles on the subject are currently in production.