Have a personal or library account? Click to login

An Analysis of Entrepreneurship in Family-Owned Stock Companies

Open Access
|Aug 2020

Abstract

Research background: Family businesses are included in the functioning of each market transaction. testing their development and dissemination can be an interesting area of research from the point of view of hierarchy and from the point of view of the owners of these companies.

Purpose: The purpose of the article was to present an analysis of entrepreneurship of family-owned companies listed on the Warsaw Stock Exchange (WSE).

Researcher methodology: The quantitative analysis method, including also the descriptive statistics method, ratio analysis, and inference was incorporated. The study was based on the financial data of 38 family capital groups. The data analysis on entrepreneurship in the years 2009–2018 indicates that in the case of all of the studied companies most were in a stable situation. The analysis of entrepreneurship, which takes into account the rate of income growth and efficiency indicators, indicates that the examined group of family companies was characterized by a high level of entrepreneurship throughout the analysed period, thus showing a downward trend.

The results: The results of the research may form the basis for further research in the field presented in the article with an emphasis on sector diversification, the size of companies and the extension of the analysed time periods.

Novelty: Entrepreneurship research in family entities can be seen from the point of view of the rate of increase of revenues and efficiency of assets and cash efficiency.

DOI: https://doi.org/10.2478/foli-2020-0016 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 266 - 285
Submitted on: Jun 23, 2019
Accepted on: Mar 21, 2020
Published on: Aug 20, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2020 Edyta Mioduchowska-Jaroszewicz, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.