2023
DOI: 10.1016/j.techfore.2023.122516
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Towards a precise understanding of social entrepreneurship: An integrated bibliometric–machine learning based review and research agenda

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Cited by 19 publications
(6 citation statements)
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References 140 publications
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“…Third, we build on institutional logics research (Battilana and Dorado, 2010; Zhao and Lounsbury, 2016) to inform our understanding of social entrepreneurship antecedents and outcomes (Jayawarna, Jones and Macpherson, 2020; Kaushik et al. , 2023). The presence of social and of commercial logics in social enterprises may be compatible or incompatible and could potentially prove detrimental to organizing efforts and outcomes (Besharov and Smith, 2014).…”
Section: Discussionmentioning
confidence: 99%
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“…Third, we build on institutional logics research (Battilana and Dorado, 2010; Zhao and Lounsbury, 2016) to inform our understanding of social entrepreneurship antecedents and outcomes (Jayawarna, Jones and Macpherson, 2020; Kaushik et al. , 2023). The presence of social and of commercial logics in social enterprises may be compatible or incompatible and could potentially prove detrimental to organizing efforts and outcomes (Besharov and Smith, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…However, despite the promise of this research avenue, data and research on the topic are still relatively scarce (Kaushik et al. , 2023; Lall and Park, 2022).…”
Section: Theory and Hypothesesmentioning
confidence: 99%
“…While the extant body of literature on SE has addressed a wide array of themes (Kaushik et al, 2023 ), scant attention has been devoted to the examination of opportunity indicators. Identification of such opportunity indicators in emerging economies would allow governments to design policies that would increase SE.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, Chen et al ( 2020 ) employed the structural topic model to identify topics in 3,342 articles published in Computers & Education , a leading educational technology journal, with the aim of identifying major research topics and potential future directions in educational technology. Kaushik et al ( 2023 ) utilized the latent Dirichlet allocation (LDA) model to mine topics from 3,844 articles related to social entrepreneurship that were obtained from the Scopus and Web of Science (WOS) databases and identify latent research topics and future development trends in social entrepreneurship studies. Wang et al ( 2023 ) also used the LDA to mine topics from 8,197 articles related to health-promoting behaviors among miners that were obtained from the WOS database to assist researchers with grasping the core research topics and potential future directions in that domain.…”
Section: Literature Reviewmentioning
confidence: 99%