Title: A 3-in-1 framework for human resources' selection and positioning based on machine learning tools

Authors: Panagiota Pampouktsi; Katia-Lida Kermanidis; Markos Avlonitis

Addresses: Department of Informatics, Ionian University, Corfu 49100, Greece ' Department of Informatics, Ionian University, Corfu 49100, Greece ' Department of Informatics, Ionian University, Corfu 49100, Greece

Abstract: Administration is aiming to control the performance of human resources in order to achieve its best possible exploitation and through it resources economy that is an important issue for all organisations. Innovations about human resource evaluation systems, is a success factor of all administrative changes. Management of human resources is based on proper selection and positioning of the staffs that add value to an organisation. Artificial intelligence is the new ally for managers, but it is not wide-spread in the public sector. In this study, we collected and assessed personnel's data in a public organisation and by using various classification algorithms, specific models were built according to job description and employees' qualifications. Our scope is the development of an innovative framework, using machine learning techniques for meritocratic personnel selection for recruitment and simultaneously, positioning either horizontally in the departments or vertically in leadership positions, unifying three procedures in one.

Keywords: artificial intelligence; evaluation; leadership; public sector.

DOI: 10.1504/IJDATS.2021.120118

International Journal of Data Analysis Techniques and Strategies, 2021 Vol.13 No.4, pp.317 - 335

Received: 26 Jun 2020
Accepted: 06 May 2021
Published online: 07 Jan 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article