The Influence and Integration of Multiple Identities in Social Enterprise Design

Summary
- Our next presenter is Tyler Ryan, an assistant professor at the Wharton School of Business. He studies how startup firms in particular navigate between competing goals. How social enterprises get designed is the subject of his talk.
- How do different types of goals become relevant to the entrepreneurial process? Think of identities and the identities that an entrepreneur has when we're thinking about what they do and the ventures they're creating.
- Theory: Identity is meaningful and it also motivates behavior. We want to act in ways that are consistent with our salient identities. How does this link to entrepreneurship? Entrepreneurship doesn't have strong expectations about what you should do.
- Mixed entrepreneurs have one set of aims associated with deep knowledge, competencies, social relationships, and then the other. A balanced entrepreneur has sequential work roles or concurrent role identities associated with these different types of aims. The perception of tension you have between your identities and needs is a function of how accountable you feel to both.
- For the mixed entrepreneurs, they're going to feel some tension between the social and financial aims that they want to pursue. The knowledge and capabilities are going to be stronger for the set of aims associated with their work role identity. As the tension grows higher, people pursue different approaches to integration.
- Do you have any idea according to the flood on table it will make a difference in terms of the longevity or performance or goal of the pushup enterprises? If you're a balanced entrepreneur, you're in a better position to sustain this deep integration and the hybridity of the organization over time.
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Speaker A Our next presenter is Tyler Ryan. He's an assistant professor at the Wharton School of Business. He studies how startup firms in particular navigate between competing goals such as the ...

NOTE: This transcript was created by AI and may be expected to be only 96% accurate.