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dc.contributor.authorAgrawal, Jiggyasa Gyanchandra
dc.date.accessioned2018-08-28T22:00:55Z
dc.date.available2018-08-28T22:00:55Z
dc.date.issued2018
dc.identifier.citationAgrawal, Jiggyasa Gyanchandra. The uncertainty and its role in the effectuation theory. Master thesis, University of Oslo, 2018
dc.identifier.urihttp://hdl.handle.net/10852/63862
dc.description.abstractThe uncertainty is of great significance to the entrepreneurship. The existence of the contradictory views about the nature of uncertainty makes it an ambiguous construct in the entrepreneurship. The presence of uncertainty proves to be a catalyst in creating innovative products or niche markets or leads to missed opportunities. The choice of entrepreneurial decision-making method is thus crucial. Therefore, it is imperative to investigate if the effectuation decision-making method is an appropriate method to manage under the uncertainty. Effectuation claims to bestow the appropriate tools and guidelines to the entrepreneur to use the uncertainty to create new possibilities from extant realities. Thus, the aim of this thesis is to understand and analyze the role of uncertainty in the effectuation theory and how it aids the entrepreneur to create an economic opportunity. This research study adopts the qualitative and descriptive approach to investigate the research problem. The objective of this study is to provide a complete review of the uncertainty construct as discussed in the entrepreneurship literature and the role of uncertainty in effectuation decision-making process.eng
dc.language.isoeng
dc.subjectUncertainty
dc.subjectOpportunity creation
dc.subjectEntrepreneurial decision-making method
dc.subjectEffectuation
dc.titleThe uncertainty and its role in the effectuation theoryeng
dc.typeMaster thesis
dc.date.updated2018-08-28T22:00:54Z
dc.creator.authorAgrawal, Jiggyasa Gyanchandra
dc.identifier.urnURN:NBN:no-66391
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/63862/1/Agrawal_Jiggyasa_Master_Thesis_2018_SFE.pdf


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