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Exploring the dark side and the downside of entrepreneurship with machine learning, sentiment analysis and experience sampling methodologies

Williamson, Amanda J. (2019) Exploring the dark side and the downside of entrepreneurship with machine learning, sentiment analysis and experience sampling methodologies. PhD thesis, University of Sheffield.

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Abstract

Entrepreneurship is well recognized as a vehicle for individual flourishing. However, comparatively little is known in the entrepreneurship literature about the negative side of being an entrepreneur. To address this gap, I examine entrepreneurship’s dark side (negative affective experiences) and downside (loss of passion), and explore their antecedents with state of the art research methods. The thesis consists of four studies and a coherent synthesis of their implications. It provides a compassionate contribution, shedding light on the negative side of entrepreneurship that paves the way for addressing suffering associated with it. Implications for theory, practice, and future research are discussed.

Item Type: Thesis (PhD)
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield)
Depositing User: Ms Amanda Williamson
Date Deposited: 22 Jul 2019 10:11
Last Modified: 22 Jul 2019 10:11
URI: http://etheses.whiterose.ac.uk/id/eprint/24421

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