@inproceedings{53aed65063e64ad5a73cd73519e3dbc2,
title = "Analysis of Factors Affecting Backers{\textquoteright} Fundraising on Reward-Based Crowdfunding",
abstract = "This study use data from Kickstarter to find what factors are correlated with the numbers of backers of all projects and projects of different categories by using multiple linear regression model. The result shows that variables including projects goal, description information such as FAQs, updates and comments as well as the rewards characteristics are significantly affecting the number of projects backers. Besides, variables have different effect on projects backers of different categories, several factors show significantly effect on some projects but totally different results of others. It can help entrepreneurs to better understand backers{\textquoteright} funding decision and attract more backers in order to increase the success rate of crowdfunding projects.",
keywords = "Crowdfunding, FinTech, Kickstarter, Multiple linear regression analysis",
author = "Jin, {Bih Huang} and Li, {Yung Ming} and Chen, {Cui Ping}",
note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 8th World Conference on Information Systems and Technologies, WorldCIST 2020 ; Conference date: 07-04-2020 Through 10-04-2020",
year = "2020",
doi = "10.1007/978-3-030-45688-7_3",
language = "English",
isbn = "9783030456870",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "21--34",
editor = "{\'A}lvaro Rocha and Hojjat Adeli and Reis, {Lu{\'i}s Paulo} and Sandra Costanzo and Irena Orovic and Fernando Moreira",
booktitle = "Trends and Innovations in Information Systems and Technologies - Volume 1, WorldCIST 2020",
address = "德國",
}