The value of publicly available, textual and non-textual information for startup performance prediction
Can publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs) supplemented by...
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| Main Author: |
Kaiser, Ulrich
Kuhn, Johan M |
|---|---|
| Format: | Publication |
| Language: | English |
| Place of publication: |
Mannheim: ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung 01.01.2020 |
| Data of publication: | 2020-01-01 |
| Dewey Decimal Classification: | 330 |
| Discipline: | Economics |
| Subjects: | |
| Online Access: | available in Bonn? |
| Database: | OpenAIRE (Open Access) OpenAIRE Database information Databases - DBIS |