Μοντέλα Πρόβλεψης Απόδοσης Ανθρώπινου Δυναμικού
Date Issued
July 20, 2022
Type
Διδακτορική Διατριβή
Abstract
The issue of human resource performance has been of great concern to the Greek public administration in recent years. The key research question is whether the prediction of suitability of an employee for a job position and consequently the prediction of his/her performance could be based on artificial intelligence practices and machine learning models. The innovative objectives of this dissertation are: i) The evaluation of candidates, through a tool based on artificial intelligence for selection of candidates for recruitment, possible reallocation in the organization, placement of suitable employees in the appropriate job position or promotion to authority positions, ii) expression of the opinion of public sector employees regarding the factors that influence their evaluation, for selection and promotion, iii) The creation of an integrated framework with structural equations models for the evaluation parameters regarding the suitability of human resources for selection and promotion in authority positions and the appraisal evaluation parameters, iv) The creation of an evaluation model, which will be connected with the possibility of predicting the performance of employees, exploiting their qualifications and matching the appropriate person to the appropriate position. The proposed model can be the basis for the development of a new automated system for the evaluation of human resources based on machine learning, supporting the relative procedures in the context of a holistic management of the human factor. The interdisciplinarity of the dissertation, with the contribution of the sciences of administration, informatics and statistics, is unquestionable and creates new perspectives for the future regarding the issues of human resources management.
Subjects