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Crowdfunding success prediction: An emprical study on Indiegogo platform

Author

Listed:
  • Seda Tolun

    (Istanbul University School of Business, Quantitative Methods Department)

  • Cem Gürler

    (Istanbul University School of Business, Quantitative Methods Department)

  • Mehmet Ça?lar

    (Y?ld?z Technical University Faculty of Economic and Administrative Sciences Department of Business Administration Numerical Methods)

Abstract

Crowdfunding is an appealing financing method to enterpreneurs with financial difficulties in realizing their project ideas. This practice is an endeavour to raise funds for a project or a business venture from a large population where the enterpreneurs make an open call through the internet and try to persuade individuals to support their innovative ideas. Within four different types of crowdfunding and hundreds of websites emerged, this study focuses on reward and donation based crowdfunding in one of the most prominent platforms, Indiegogo. The study introduces a decision tree model that classifies the submitted projects at Indiegogo as successful or not and underlines the key success features for entrepreneurs who are to make an online call for fundraising.

Suggested Citation

  • Seda Tolun & Cem Gürler & Mehmet Ça?lar, 2017. "Crowdfunding success prediction: An emprical study on Indiegogo platform," Proceedings of International Academic Conferences 5908122, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:5908122
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    File URL: https://iises.net/proceedings/34th-international-academic-conference-florence/table-of-content/detail?cid=59&iid=056&rid=8122
    File Function: First version, 2017
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    More about this item

    Keywords

    classification; data mining; crowdfunding; binary model; knowledge discovery;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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