Crowdfunding is an emerging segment of the financial sectors. Entrepreneurs are now able to seek funds from the online community through the use of online crowdfunding platforms. Entrepreneurs seek to understand attributes that play into a successful crowdfunding project (commonly known as campaign). In this paper we seek so understand the field of crowdfunding and various factors that contribute to the success of a campaign. We aim to use traditional modeling techniques to predict successful campaigns for Kickstarter. We find emerging field of crowdfunding has many nuances due to various funding methods of online platforms. The importance of having relevant data is further highlighted as contributing factors identified from empirical studies were not published in data set used for modeling. With the understanding of the field we were able to identify that the lack of features provided would hinder the creation of an accurate model. In conclusion we find that the need for complete and quality data is needed to create quality models.
Markas, Ruhaab and Wang, Yisha
"Dare to Venture: Data Science Perspective on Crowdfunding,"
SMU Data Science Review: Vol. 2:
1, Article 19.
Available at: https://scholar.smu.edu/datasciencereview/vol2/iss1/19
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