Ex ante predictability of rapid growth : a design science approach
Ari Hyytinen, Petri Rouvinen, Mika Pajarinen, and Joosua Virtanen
| Year of publication: |
2023
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|---|---|
| Authors: | Hyytinen, Ari ; Rouvinen, Petri ; Pajarinen, Mika ; Virtanen, Joosua |
| Published in: |
Entrepreneurship theory and practice : ET&P. - Thousand Oaks, CA : Sage Publishing, ISSN 1540-6520, ZDB-ID 2069619-X. - Vol. 47.2023, 6, p. 2465-2493
|
| Subject: | high-growth enterprises | relevance | prediction | design research | machine learning | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Unternehmenswachstum | Firm growth |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/10422587221128268 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014433283