OPTIMIZATION OF THE PROFESSIONALS SELECTION AND TRAINING BY ARTIFICIAL INTELLIGENCE

Author:

Gómez-Martínez Raúl1ORCID,Purswani Ravi2,Prado-Roman Miguel1ORCID

Affiliation:

1. Universidad Rey Juan Carlos

2. CTO Overlap

Abstract

The investment in training and the improvement in the professional's abilities should anticipate an evolution in the professional's performance, but how could we estimate the probability of performance improvement from a formative action? The present work tries to quantify this using a study on 447 surveys carried out by Overlap consultant firm to professionals of the sales force of one of its clients. With this information, an artificial intelligence model has been trained. This model quantifies the relationship between skills and training on the performance of the professional and allows to measure how the probability of a better performance would increase after a training course or improvement capacity. Thus, the artificial intelligence model can be used to define the optimal profile of the professional that should carry out this activity, a profile to seek in the selection processes and in the planning of the company's internal training.

Publisher

Academia Europea de Direccion y Economia de la Empresa

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How to Digitize the Human Resource Management in the Era of Industry 4.0?;Arts, Research, Innovation and Society;2023

2. Disruptive human resource management technologies: a systematic literature review;European Journal of Management and Business Economics;2022-08-11

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