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Shaping Entrepreneurial Opportunities: Managing Uncertainty and Equivocality in the Entrepreneurial Process.

dc.contributor.authorBarton, Michelle A.en_US
dc.date.accessioned2011-01-18T16:21:20Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2011-01-18T16:21:20Z
dc.date.issued2010en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/78946
dc.description.abstractThis dissertation develops and tests a theory of how technology entrepreneurs shape their business opportunity and the organizing practices that facilitate that process. I suggest that entrepreneurial opportunities are not predetermined phenomena discovered by vigilant individuals but rather are emergent, created by founders as they manage the uncertainties of the entrepreneurial process. Study 1 is a case-based analysis of technology ventures. The findings suggest that opportunities emerge through a change process as founders shape their ventures to match their evolving knowledge and changing environmental realities. As founders learn from experience, receive feedback and advice and respond to unexpected events the opportunity takes form through a series of changes. However, because change can be disruptive and time-consuming, the process can be costly to the venture. I then develop a theoretical framework of organizational practices that facilitate the shaping process by reducing the disruptive effects of change. I suggest that because the shaping process occurs in a dynamic and uncertain context, ventures that develop vigilant awareness of changing conditions, through performance monitoring and environmental scanning, are more able to recognize the need for change before problems escalate. In addition, ventures that systematically learn from their experience can rapidly reduce equivocality and build knowledge. As a result, change efforts tend to be smaller, more incremental and based on more accurate information and result in less disruption. I test my hypotheses in Study 2 using a survey of technology entrepreneurs. The findings suggest that performance monitoring reduces overall change experienced by ventures and environmental scanning is associated with better perceived performance. Experiential learning strategies reduce the disruptiveness of change efforts and are associated better perceived performance. Mediation tests suggest that experiential learning strategies reduce disruption and improve performance in part because they improve certainty about the venture’s internal and external environment. This dissertation contributes to the entrepreneurship and innovation literatures by providing a window into micro-level processes through which new opportunities are created, managed and shaped. Furthermore, by addressing the real-time organizing practices that allow entrepreneurs to manage their emerging opportunity, this research also contributes to literatures on managing uncertainty and unexpected events.en_US
dc.format.extent4778989 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectEntrepreneurshipen_US
dc.subjectOrganizational Learningen_US
dc.subjectUncertaintyen_US
dc.subjectInnovationen_US
dc.subjectNew Venturesen_US
dc.subjectUnexpected Eventsen_US
dc.titleShaping Entrepreneurial Opportunities: Managing Uncertainty and Equivocality in the Entrepreneurial Process.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineBusiness Administrationen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberSutcliffe, Kathleen M.en_US
dc.contributor.committeememberGonzalez, Richard D.en_US
dc.contributor.committeememberSpreitzer, Gretchen Marieen_US
dc.contributor.committeememberWeick, Karl E.en_US
dc.contributor.committeememberWestphal, James D.en_US
dc.subject.hlbsecondlevelBusiness (General)en_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelSocial Sciences (General)en_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78946/1/mibarton_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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