Factor analysis of investment judgment in crowdfunding using structural equation modeling

カテゴリ: 国際会議

論文No: SS2-2

グループ名: ACIS2015

発行日: 2015/10/15

著者名(英語): Ryosuke Saga(Osaka Prefecture University), Shoji Nohara(Osaka Prefecture University)

キーワード: crowdfunding, causal relationship\nanalysis, structural equation modeling

要約(英語): This study describes the factor analysis of investment judgment in crowdfunding. Crowdfunding is a web service used by founders and funders. By using this service, a founder can gather small amounts of money, much like in micro-financing, from people who are interested in donating. Crowdfunding is suitable for startup and small businesses that cannot borrow large amounts of money from venture capitals and banks. However, what the important elements are and what factors dictate the investment remain unclear. Therefore, this study analyzes crowdfunding using the structural equation modeling and the text mining technique. We assume that the crowd decides to invest in the content and externality of the project. Specifically, the content element is built from not only from observed variables but also from words extracted by hierarchical latent dirichlet allocation. The experiment that used 754 data from Kickstarter.com shows that the external social relationship influences the decision to invest in a project.

原稿種別: 英語

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