Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Predicting the Entrepreneurial Behaviour of Starting Up a New Company: A Regional Study Using PLS-SEM and Data from the Global Entrepreneurship Monitor
المؤلفون: José Alberto Martínez-González, Carmen Dolores Álvarez-Albelo, Javier Mendoza-Jiménez, Urszula Kobylinska
المصدر: Mathematics; Volume 10; Issue 5; Pages: 704
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: Global Entrepreneurship Monitor, entrepreneurial behaviour, entrepreneurial intention, contextual variables of entrepreneurship, personal variables of entrepreneurship, regional entrepreneurship
الوصف: 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.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Financial Mathematics; https://dx.doi.org/10.3390/math10050704
DOI: 10.3390/math10050704
الاتاحة: https://doi.org/10.3390/math10050704
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.34E8EDE7
قاعدة البيانات: BASE