An Innovative Approach for Personnel Positioning

Panagiota Pampouktsi, Spyridon Avdimiotis (), Katia-Lida Kermanidis () and Markos Avlonitis ()
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Panagiota Pampouktsi: Department of Informatics, Ionian University, University Campus, Corfu 49100, Greece
Spyridon Avdimiotis: ��Department of Organizational Management Marketing and Tourism, International Hellenic University, Thermi 57001, Thessaloniki, Greece
Katia-Lida Kermanidis: Department of Informatics, Ionian University, University Campus, Corfu 49100, Greece
Markos Avlonitis: Department of Informatics, Ionian University, University Campus, Corfu 49100, Greece

International Journal of Innovation and Technology Management (IJITM), 2022, vol. 19, issue 05, 1-20

Abstract: The contribution of the paper is the building of a model to predict the proper employees’ allocation in the Greek public sector. To acknowledge the set and weights of criteria upon which our model feeds data, a validated questionnaire was developed and used to conduct a primary quantitative survey amongst HR departments and employees of state organizations in Greece. On the acquired findings, several experiments were administered using linear and machine learning tools, aiming to replace time consuming and subjective procedures, followed by many organizations. Concluding, data classification algorithms are proposed to predict the best matching of employees, giving as inputs personnel qualifications as well as job specifications, leading to a model based on J48, a decision tree algorithm.

Keywords: Organization; model; matching; positioning; human resources (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219877022410073

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