Predicting the effect of entrepreneurial stressors and resultant strain on entrepreneurial behaviour: an SEM-based machine-learning approach

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Arshi, TA ORCID: 0000-0002-5244-7862, Islam, Sardar M. N ORCID: 0000-0001-9451-7390 and Gunupudi, N ORCID: 0000-0001-6330-0324 (2021) Predicting the effect of entrepreneurial stressors and resultant strain on entrepreneurial behaviour: an SEM-based machine-learning approach. International Journal of Entrepreneurial Behaviour and Research, 27 (7). pp. 1819-1848. ISSN 1355-2554

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/44481
DOI https://doi.org/10.1108/IJEBR-08-2020-0529
Official URL https://www.emerald.com/insight/content/doi/10.110...
Subjects Current > FOR (2020) Classification > 3507 Strategy, management and organisational behaviour
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords entrepreneurial stress; entrepreneurial strain; causal effect; hindrance stressors; psychological capital; machine learning; structural models
Citations in Scopus 2 - View on Scopus
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