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How Social Networks Dynamics can Affect Collaborative Decision Making on Crowdfunding Platforms

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Smart Business: Technology and Data Enabled Innovative Business Models and Practices (WeB 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 403))

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Abstract

Despite the increasing phenomena that social interactions among contributors by emerging technologies influence crowdfunding decision making, little is known about how social network dynamics formed by these social interactions affect contributors’ decision making. Drawing on a data set collected from an economic experiment conducted on Amazon Mechanical Turk (MTurk), we use a social network approach to investigate the effects of social network structure on collaborative decision making under a crowdfunding setting. Comparing four standard network structures – null, star, weak ties, mesh - Our analysis shows that the mesh network yields the best group collaboration performance, with social information displayed. The result of this research provides a specific and nuanced angle of the importance of social networks in emerging technology – enabled online crowdfunding.

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Author information

Authors and Affiliations

  1. Baruch College, 55 Lexington Ave., New York, NY, 10010, USA

    Yanni Hu & Karl Lang

Authors
  1. Yanni Hu
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  2. Karl Lang
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Corresponding authors

Correspondence to Yanni Hu or Karl Lang .

Editor information

Editors and Affiliations

  1. Baruch College, New York, NY, USA

    Karl R. Lang

  2. Bentley University, Waltham, MA, USA

    Jennifer Xu

  3. Oregon State University, Corvallis, OR, USA

    Bin Zhu

  4. University of Utah, Salt Lake City, UT, USA

    Xiao Liu

  5. University of Illinois, Champaign, IL, USA

    Michael J. Shaw

  6. Georgia Institute of Technology, Atlanta, GA, USA

    Han Zhang

  7. University of Washington, Seattle, WA, USA

    Ming Fan

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Hu, Y., Lang, K. (2020). How Social Networks Dynamics can Affect Collaborative Decision Making on Crowdfunding Platforms. In: Lang, K.R., et al. Smart Business: Technology and Data Enabled Innovative Business Models and Practices. WeB 2019. Lecture Notes in Business Information Processing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-030-67781-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-67781-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67780-0

  • Online ISBN: 978-3-030-67781-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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