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dc.contributor.authorXie, K.
dc.contributor.authorChen, Yufen
dc.contributor.authorDu, Jingshu
dc.date.accessioned2017-12-02T14:52:17Z
dc.date.available2017-12-02T14:52:17Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/20.500.12127/4711
dc.description.abstractAlthough there is a high level of practitioner, policymaker, and scholar interest in social entrepreneurship, most research is based on case studies and success stories of successful social entrepreneurs in a single country. We develop a methodology to measure population-based social entrepreneurship activity (SEA) prevalence rates and test it in 49 countries. Our results provide insights into institutional and individual drivers of SEA. Using the Global Entrepreneurship Monitor (GEM) methodology of Total Entrepreneurial Activity (TEA), we find that countries with higher rates of traditional entrepreneurial activity also tend to have higher rates of social entrepreneurial activity. We develop a broad definition of social entrepreneurship and then explore types based on social mission, revenue model, and innovativeness.
dc.language.isoen
dc.subjectOperations & Supply Chain Management
dc.titleThree Dimensional Model of Technology Innovation System Centered on Enterprises
dc.identifier.journalJournal of Wuhan university of technology
dc.source.volume20
dc.source.issue6
dc.source.beginpage783
dc.source.endpage787
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleJournal article with impact factor
vlerick.vlerickdepartmentTOM
dc.identifier.vperid164390
dc.identifier.vperid140601
dc.identifier.vperid164391
dc.identifier.vpubid5607


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