Multidimensional competency construct for social entrepreneurs: A logistic regression approach

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Garima Saxena


Do social entrepreneurs running a for-profit (private, limited) enterprise require different competencies from those running a not-for-profit enterprise? The present research study aimed to answer the above question by proposing and vindicating a multidimensional competency construct that can serve as a succinct base to distinguish for-profit social en- trepreneurs from not-for-profit social entrepreneurs. An online survey method was used to elicit responses from 400 Indian social entrepreneurs. Logistic regression analysis was used to analyze the data and to test the hypothesis. The empirical results revealed that for-profit social entrepreneurs did not differ not-for-profit social entrepreneurs in four competencies. By vindicating the competencies relevant for the two different forms of social enterprises, the study contributes to theory development in the field of social entrepreneurship. Furthermore, the study makes an attempt to explore new avenues for social entrepreneurial competencies research, which offer special insight with regard to enterprise form/type. The logistic regression model provides valuable insights for future enquiries by postulating and vindicating competencies as an underpinning for differentiation. The research study is limited to India; hence, it provides scope for further research in other geographical regions in order to generalize the results.


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SAXENA, Garima. Multidimensional competency construct for social entrepreneurs: A logistic regression approach. Kasetsart Journal of Social Sciences, [S.l.], v. 40, n. 3, p. 684–688, oct. 2019. ISSN 2452-3151. Available at: <>. Date accessed: 21 jan. 2020.
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