FURTHER EDUCATION, ITS METHODS AND SELECTED CHARACTERISTICS OF ORGANISATIONS: AN EMPIRICAL STUDY OF THEIR ASSOCIATION WITH ORGANISATIONS PROFITABILITY

Author:

Pudil Pavel1ORCID,Somol Petr2,Mikova Irena3ORCID,Pribyl Vladimir3ORCID,Komarkova Lenka3ORCID

Affiliation:

1. Faculty of aFaculty of Management, Prague University of Economics and Business, Jindrichuv Hradec, Czech Republicanagement, Prague University of Economics and Business, Jindrichuv Hradec, Czech Republic

2. Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

3. Faculty of Management, Prague University of Economics and Business, Jindrichuv Hradec, Czech Republic

Abstract

Purpose – The paper presents the results of the study based on a sample of 358 organisations that focuses on further education and training (FET) of their employees. It specifically investigates which specific educational methods and various characteristics of organisations are associated with their financial performance. Research methodology – The Dependency Aware Feature (DAF) selection method from statistical pattern recognition has been used to identify which of the 37 considered variables are most associated with the profitability indicators (ROA, ROCE, ROS). Findings – The profitability indices are significantly associated with some of the specific methods of FET. Organisations should pay attention particularly to instructing, coaching and mentoring. The results also confirm the importance of talent management for organisations to be successful. Research limitations – The examined sample consists solely of organisations operating in the Czech Republic. Shortly, we plan to extend the selection by including organisations from abroad. Practical implications – The study provides recommendations for HR managers for the goals they should focus on. Organisations should evaluate the impacts of FET; otherwise increasing investments in it may not have an effect. Originality/Value – The originality of the current study lies in using a new methodology based on machine learning and respecting complex mutual relations among variables.

Publisher

Vilnius Gediminas Technical University

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Development,Business and International Management

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