Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
31 January 2020 |
15 February 2020 |
10 March 2020 |
Abstract: To assure the delivery ‘s performance and customer’s satisfaction, particularly in IT Digital services company, we must assign the best collaborator’s profile in the adequate project. The objective of our study is to develop a Recommendation system for Human Resources with based-content and collaborative filtering, that allow recommending potential collaborators for a new job offer, using multicriteria analysis (AHP)(Analytic Hierarchy Process) , and the matching between job offer of new project and collaborators profiles . We propose in the first step a model of criteria to measure competences for Information Technology team according to the comparative study between different works,we validate our model by a survey carried out in the IT service company based in Morocco. The data collected is analyzed using dimensionality reduction (PCA) method (Principal Component Analysis). The results indicate that six factors can measure the collaborator’s competences in the team (collective competence): Technical competence, Integrity, Proactivity, Communication, Cooperation, and Benevolence/Interpersonal Relationship. These criteria will be used in the AHP function to allow a recommendation of potential collaborators for the adequate project
