Conference proceeding
Money Talks: A Predictive Model on Crowdfunding Success Using Project Description
AMCIS 2015 PROCEEDINGS
01/01/2015
Abstract
Existing research of crowdfunding mainly focuses on the basic properties of the project such as category and goal, the information content of the project, however, is barely studied. By introducing Elaboration Likelihood Model into crowdfunding context and using a large dataset obtained from Kickstarter, a popular crowdfunding platform, we study the influence of project descriptions in terms of argument quality and source credibility, and investigate their impacts on funding success. We find information disclosed in project descriptions is associated with funding success. We also examine the practical impacts of project description by using a predictive model. Results show that our model can predict with an accuracy rate of 73% (71% in F-measure), which represents an improvement of 15 percentage points over the baseline model and 4 percentage points over the mainstream model. Overall, our results provide insights to researchers, project owners and backers to better study and use crowdfunding platforms.
Details
- Title: Subtitle
- Money Talks: A Predictive Model on Crowdfunding Success Using Project Description
- Creators
- Mi (Jamie) Zhou - Virginia TechQianzhou Du - Virginia TechXuan Zhang - Virginia TechZhilei Qiao - Virginia TechAlan G. Wang - Virginia TechWeiguo (Patrick) Fan - Virginia Tech
- Resource Type
- Conference proceeding
- Publication Details
- AMCIS 2015 PROCEEDINGS
- Publisher
- Assoc Information Systems
- Number of pages
- 8
- Language
- English
- Date published
- 01/01/2015
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380482202771
Metrics
3 Record Views