Environmental support and entrepreneurial intentions: Exploring the mediating role of attitude and behavioural control and moderating effect of family background

Abstract

Objective: The objective of the article is to investigate the relationship between environmental support and entrepreneurial intention, as well as the mediating and moderating effects involved.

Research Design & Methods: A web-based survey was conducted among a sample of 612 students from institutions of higher education in Spain and Poland. Structural equation modelling (SEM) was used to evaluate the conceptual framework and hypotheses.

Findings: The findings revealed a positive impact of environmental support (ENSUP) on attitude, behavioural control, and intentions. Furthermore, the research reveals that attitude and behavioural control act as mediating factors in the relationship between ENSUP and intentions. The research showed that environmental support significantly predicted attitudes and intentions among Spanish students but not Poles. Moreover, the influence of support on perceived behavioural control was greater for individuals from non-entrepreneurial backgrounds compared to those with entrepreneurial backgrounds. Lastly, the influence of a person’s attitude towards entrepreneurship on their level of entrepreneurial intentions was stronger in families with entrepreneurship backgrounds compared to families without such a history.

Implications & Recommendations: The practical implications of this research extend to universities and policymakers, providing recommendations for supporting young entrepreneurs and their networks.

Contribution & Value Added: This article contributes to the existing entrepreneurship literature by enhancing the understanding of the connection between environmental support and intentions, the mediating role of attitude and behavioural control, and the moderating effect of family background.

Keywords

environmental support, attitude, perceived behavioural control/entrepreneurial self-efficacy, Spain, Poland

Author Biography

Kwaku Amofah

Kwaku Amofah holds a Ph.D. in Law and Business Administration from the University of Lleida, Spain. He is a Senior Lecturer and Head of the Distance Learning Centre at Sunyani Technical University, Ghana. His research interest include: entrepreneurship, management, and strategic management.

Michael Gameli Dziwornu

Michael Gameli Dziwornu holds a Ph.D. in Urban Studies from the University of Milan-Bicocca, Italy. He is a Research Scientist at the Institute for Scientific and Technological Information (INSTI) of the Council for Scientific and Industrial Research (CSIR), Accra, Ghana. His research interest include economic geography, sustainable development, crime geography, and entrepreneurship.

Tomasz Rachwał

Tomasz Rachwał, Ph.D., is a Professor of Economics and Economic Geography at the Department of International Trade of the Krakow University of Economics (KUE), Poland. He is also affiliated with the Centre for Strategic and International Entrepreneurship of KUE. He is a member of the editorial board of journals in the field of entrepreneurship and economic geography. His research interests include entrepreneurship education, entrepreneurial intentions of young people, the role of entrepreneurship in the development of local and regional systems, and socio-economic geography.

Ramon Saladrigues

Ramon Solé Saladrigues (Ph.D.) is an Associate Professor of Financial Economy and Accounting at the University of Lleida, Spain. His research interests include economic and financial indicators, European convergence international accounting and accounting reform, entrepreneurship and business creation and university analytical accounting.

Fred Fosu Agyarko

Fred Fosu Agyarko is a doctoral student in Statistics at the University of Ghana, Legon. He is also a Statistician at the Institute for Scientific and Technological Information (INSTI) of the Council for Scientific and Industrial Research (CSIR), Accra, Ghana. His research interests include statistics of extremes, longitudinal data/repeated measures, and mixed models/random-effects models.

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