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An, J., Quercia, D. and Crowcroft, J. (2014) Recommending Investors for Crowdfunding Projects. In: Proceedings of the 23rd International Conference on World Wide Web, ACM, New York, 261-270.
https://doi.org/10.1145/2566486.2568005

has been cited by the following article:

• TITLE: Successful Factors and Prediction of Crowdfunding on WeChat

  AUTHORS: Yong Xu, Ni Zhu

  KEYWORDS: Crowdfunding, WeChat, Successful Factors, Logistic Regression, Forecast

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.8 No.4, April 28, 2018

  ABSTRACT: Taking crowdfunding projects on WeChat for research object, including Tencent Charitable Foundation and Qingsongchou, empirical study has used the multivariate analysis of variance, logistic regression and data mining to analyse the influence factors of final funding and the result (success or failure), and then build a model to forecast the result. The empirical study indicates that user participation, user trust and project characteristics have significant influence on crowdfunding projects’ success. The forecast model based on data mining has good prediction accuracy.