This book aims at providing an empirical understanding of the main drivers affecting investors? preferences in financing new ventures through equity crowdfunding (ECF) and determining fundraising campaign success. ECF is increasing in prominence as a route for new ventures in obtaining external financial resources. To raise capital, entrepreneurs are required to convey quality signals of their proposals with real-time information and knowledge sharing. This book advances knowledge in entrepreneurial finance by investigating the factors that affect individuals? decisions to participate in ECF. The authors adopt a data mining approach to extract publicly available information from a multitude of crowdfunding platforms across different countries, producing a unique dataset.
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Investors? Preferences in Financing New Ventures : A Data Mining Approach to Equity
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| Weight | 1 kg |
|---|---|
| Book Author | Mazzocchini |
| Edition | 1st |
| Format | Hardback |
| ISBN | 9783031300578 |
| Language | English |
| Pages | 164 |
| Publication Year | |
| Publisher |
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