The value of publicly available, textual and non-textual information for startup performance prediction
We use administrative textual and non-textual data retrieved from publicly available archives to predict the performance of Danish startups at the time of foundation. The performance outcomes we consider are survival, high employment growth, a return on assets of above 20 percent, new patent applica...
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| Volume: | 14 |
|---|---|
| Main Author: |
Kaiser, Ulrich
Kuhn, Johan M |
| Format: | Journal Article |
| Language: | English |
| Place of publication: |
Elsevier Inc 01.11.2020 |
| published in: | Journal of Business Venturing Insights Vol. 14 |
| ORCID: |
0000-0003-4372-2479 |
| Data of publication: | November 2020 |
| ISSN: |
2352-6734 |
| Subjects: | |
| Online Access: |
Fulltext |
| Database: | Elsevier:ScienceDirect:Open Access ScienceDirect Open Access Titles Database information Databases - DBIS |