Next Article in Journal
Fractional Calculus and Confluent Hypergeometric Function Applied in the Study of Subclasses of Analytic Functions
Next Article in Special Issue
Outcomes of Industry–University Collaboration in Open Innovation: An Exploratory Investigation of Their Antecedents’ Impact Based on a PLS-SEM and Soft Computing Approach
Previous Article in Journal
What Group Theory Can Do for You: From Magmas to Abstract Thinking in School Mathematics
Previous Article in Special Issue
Deterministic Chaos Detection and Simplicial Local Predictions Applied to Strawberry Production Time Series
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Mathematics
Volume 10
Issue 5
10.3390/math10050704
mathematics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Predicting the Entrepreneurial Behaviour of Starting Up a New Company: A Regional Study Using PLS-SEM and Data from the Global Entrepreneurship Monitor

by
José Alberto Martínez-González
1,*,
Carmen Dolores Álvarez-Albelo
2,
Javier Mendoza-Jiménez
1 and
Urszula Kobylinska
3
1
Department of Business Management and Economic History, Faculty of Economics, Business and Tourism, Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain
2
Department of Economics, Accounting and Finance, Faculty of Economics, Business and Tourism, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain
3
Faculty of Engineering Management, Bialystok University of Technology, 15-351 Bialystok, Poland
*
Author to whom correspondence should be addressed.
Mathematics 2022, 10(5), 704; https://doi.org/10.3390/math10050704
Submission received: 2 February 2022 / Revised: 19 February 2022 / Accepted: 22 February 2022 / Published: 23 February 2022
(This article belongs to the Special Issue Applications of Quantitative Methods in Business and Economics Research)
Browse Figures
Versions Notes

Abstract

It is essential to understand the variables that explain and predict the behaviour of starting up a new company in a regional context. This study aims to analyse the theoretical basis and predictive potential of the Global Entrepreneurship Monitor (GEM) data, considering the concerns and suggestions of other authors. In addition to an extensive literature review, a PLS-SEM methodology and data on variables and countries from the latest GEM report are used in this study. The results show that GEM reports have a sufficient theoretical foundation for quality studies in this field. In addition, a valid and reliable causal model is designed that includes all personal and contextual GEM variables. The hypotheses of the proposed model are based on the existing causal relationships in the literature, using GEM data in its formulation. The model is comprehensive and practical because it significantly predicts entrepreneurial behaviour, particularly entrepreneurial intention and action. The usefulness of this study is high, both for researchers, practitioners and institutions wishing to understand better and further promote entrepreneurial behaviour at a regional (country) level.
Keywords: Global Entrepreneurship Monitor; entrepreneurial behaviour; entrepreneurial intention; contextual variables of entrepreneurship; personal variables of entrepreneurship; regional entrepreneurship Global Entrepreneurship Monitor; entrepreneurial behaviour; entrepreneurial intention; contextual variables of entrepreneurship; personal variables of entrepreneurship; regional entrepreneurship

Share and Cite

MDPI and ACS Style

Martínez-González, J.A.; Álvarez-Albelo, C.D.; Mendoza-Jiménez, J.; Kobylinska, U. Predicting the Entrepreneurial Behaviour of Starting Up a New Company: A Regional Study Using PLS-SEM and Data from the Global Entrepreneurship Monitor. Mathematics 2022, 10, 704. https://doi.org/10.3390/math10050704

AMA Style

Martínez-González JA, Álvarez-Albelo CD, Mendoza-Jiménez J, Kobylinska U. Predicting the Entrepreneurial Behaviour of Starting Up a New Company: A Regional Study Using PLS-SEM and Data from the Global Entrepreneurship Monitor. Mathematics. 2022; 10(5):704. https://doi.org/10.3390/math10050704

Chicago/Turabian Style

Martínez-González, José Alberto, Carmen Dolores Álvarez-Albelo, Javier Mendoza-Jiménez, and Urszula Kobylinska. 2022. "Predicting the Entrepreneurial Behaviour of Starting Up a New Company: A Regional Study Using PLS-SEM and Data from the Global Entrepreneurship Monitor" Mathematics 10, no. 5: 704. https://doi.org/10.3390/math10050704

APA Style

Martínez-González, J. A., Álvarez-Albelo, C. D., Mendoza-Jiménez, J., & Kobylinska, U. (2022). Predicting the Entrepreneurial Behaviour of Starting Up a New Company: A Regional Study Using PLS-SEM and Data from the Global Entrepreneurship Monitor. Mathematics, 10(5), 704. https://doi.org/10.3390/math10050704

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop