| 书目名称 | Investors’ Preferences in Financing New Ventures |
| 副标题 | A Data Mining Approa |
| 编辑 | Francesco James Mazzocchini,Caterina Lucarelli |
| 视频video | http://file.papertrans.cn/476/475043/475043.mp4 |
| 概述 | Investigates the main impactors on equity crowdfunding campaign (ECF) success.Employs a data mining approach to analyse different crowdfunding platforms across countries.Integrates a FinTech and signa |
| 图书封面 |  |
| 描述 | .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. .. ..The book uses an innovative hybrid analysis to generate knowledge patterns creating data-driven models on one hand, and on the other test research hypotheses adoptingstatistical models to investigate empirical evidence in line, or in contrast, with the extant literature. The book also integrates organizational theories to examine the extent to which ECF platform managers follow a strategy of isomorphism |
| 出版日期 | Book 2023 |
| 关键词 | Equity crowdfunding; Fintech; Entrepreneurial finance; New ventures success; Signaling theory; Data minin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-30058-5 |
| isbn_ebook | 978-3-031-30058-5 |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 |
|Archiver|手机版|小黑屋|
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