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    Does Desperation Breed Deceiver? A Behavioral Model of New Venture Opportunism

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    Author
    Jiang, Han
    Cannella, Albert A.
    Jiao, Jie
    Affiliation
    Univ Arizona, Dept Management & Org, Eller Coll Management
    Issue Date
    2018-09
    
    Metadata
    Show full item record
    Publisher
    WILEY
    Citation
    Jiang, H., Cannella, A. A., & Jiao, J. (2018). Does desperation breed deceiver? A behavioral model of new venture opportunism. Entrepreneurship Theory and Practice, 42(5), 769-796. https://doi.org/10.1111/etap.12279
    Journal
    ENTREPRENEURSHIP THEORY AND PRACTICE
    Rights
    Copyright © 2018, © SAGE Publications.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We develop a behavioral-decision model to highlight entrepreneurs' decision making behind venture opportunism. We find that opportunism can present to entrepreneurs and their new ventures a risky yet beneficial choice to secure short-term gains at potential social costs. We posit that, motivated by loss aversion, entrepreneurs may accept the risk and engage in opportunism when their ventures confront economic losses. For instance, a high risk of venture failure may motivate entrepreneurs to act opportunistically in the hope that the failure can be averted. We further posit that such loss-averse decisions will be moderated by the entrepreneurs' personal bonds to their new ventures. That is, the scale of entrepreneurs' personal investment in their ventures will intensify their economic loss aversion posed by venture failure risk. In contrast, when entrepreneurs use their personal social capital to support their ventures, they will personally bear more of the down-side risks of opportunistic behavior and thus be less likely to act opportunistically to countervail a potential economic loss. Results based on the data collected from 244 NEEQ-listed new ventures in Beijing and Tianjin in China support our predictions.
    Note
    24 month embargo; published online: 23 January 2018
    ISSN
    1042-2587
    1540-6520
    DOI
    10.1111/etap.12279
    Version
    Final accepted manuscript
    Additional Links
    http://journals.sagepub.com/doi/10.1111/etap.12279
    ae974a485f413a2113503eed53cd6c53
    10.1111/etap.12279
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    UA Faculty Publications

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