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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| Main Author: |
Kaiser, Ulrich
Kuhn, Johan M |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Place of publication: |
Elsevier 01.11.2020 |
| Data of publication: | 2020-11-01 |
| ISSN: |
2352-6734 |
| Discipline: | Economics |
| Bibliography: |
https://www.zora.uzh.ch/id/eprint/196036/ merlin-id:20205 Kaiser, Ulrich; Kuhn, Johan M (2020). The value of publicly available, textual and non-textual information for startup performance prediction. Journal of Business Venturing Insights, 14:e00179. 10.1016/j.jbvi.2020.e00179 |
| Subjects: | |
| Online Access: | available in Bonn? |
| Database: | ZORA ZORA (Open Access) Database information Databases - DBIS |