Analysis of Factors Affecting Backers’ Fundraising on Reward-Based Crowdfunding

Bih Huang Jin*, Yung Ming Li, Cui Ping Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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’ funding decision and attract more backers in order to increase the success rate of crowdfunding projects.

Original languageEnglish
Title of host publicationTrends and Innovations in Information Systems and Technologies - Volume 1, WorldCIST 2020
EditorsÁlvaro Rocha, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo, Irena Orovic, Fernando Moreira
PublisherSpringer
Pages21-34
Number of pages14
ISBN (Print)9783030456870
DOIs
StatePublished - 2020
Event8th World Conference on Information Systems and Technologies, WorldCIST 2020 - Budva, Montenegro
Duration: 7 Apr 202010 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1159 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference8th World Conference on Information Systems and Technologies, WorldCIST 2020
CountryMontenegro
CityBudva
Period7/04/2010/04/20

Keywords

  • Crowdfunding
  • FinTech
  • Kickstarter
  • Multiple linear regression analysis

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