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Social Networks, Cognition And Risk Recognition In New Ventures: Evidence From China

Author

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  • JUNPING YANG

    (School of Economics and Management, Zhejiang Science and Technology University, Hangzhou, Zhejiang, China, 310018, China)

  • JING ZHANG

    (Department of Management, Strome College of Business, Old Dominion University, 2038 Constant Hall, Norfolk, VA 23529, USA)

Abstract

Although risk has always been at the center of entrepreneurship, research on risk recognition in new ventures is limited. Applying cognitive information-processing theory, we develop a theoretical framework that explores the interactive influences of entrepreneurs' social networks and their cognitive characteristics on the outcomes of risk recognition. We test the framework on a sample of 226 Chinese entrepreneurs. The results show that network size, tie strength and structural holes enhance risk recognition outcomes and that cognition (i.e. risk propensity and illusion of control) generally reduces such effects, except in the case of illusion of control, which has no effect on structural holes.

Suggested Citation

  • Junping Yang & Jing Zhang, 2015. "Social Networks, Cognition And Risk Recognition In New Ventures: Evidence From China," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-27.
    • Handle: RePEc:wsi:jdexxx:v:20:y:2015:i:02:n:s1084946715500120
    DOI: 10.1142/S1084946715500120
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    References listed on IDEAS

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    1. Saulo Barbosa & Jill Kickul & Matthew Liao-Troth, 2007. "Development and Validation of a Multidimensional Scale of Entrepreneurial Risk Perception," Post-Print hal-02312751, HAL.
    2. Saulo D. Barbosa & Jill Kickul & Matthew Liao-Troth, 2007. "Development and Validation of a Multidimensional Scale of Entrepreneurial Risk Perception," Post-Print hal-02276689, HAL.
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    Cited by:

    1. Huatao Peng & Bingbing Li & Yang Liu, 2022. "How Social Network Influences the Growth of Entrepreneurial Enterprises: Perspective on Organizational and Personal Network," SAGE Open, , vol. 12(2), pages 21582440221, June.
    2. Laurence Saglietto & Cécile Cézanne & Delphine David, 2020. "Research On Structural Holes: An Assessment On Measurement Issues," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 572-593, July.

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