Discovering pre-entry knowledge complexity with patent topic modeling and the post-entry growth of Italian firms
Year of publication: |
[2022]
|
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Authors: | Guerzoni, Marco ; Nuccio, Massimiliano ; Tamagni, Federico |
Publisher: |
Pisa, Italy : LEM, Laboratory of Economics and Management, Institute of Economics, Scuola Superiore Sant'Anna |
Subject: | pre-entry knowledge base | complexity | text analysis | patents | firm growth | post-entry performance | Patent | Unternehmenswachstum | Firm growth | Italien | Italy | Unternehmenserfolg | Firm performance | Wissen | Knowledge | Wissensmanagement | Knowledge management | Innovation |
Extent: | 1 Online-Ressource (circa 26 Seiten) Illustrationen |
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Series: | LEM working paper series. - Pisa : [Verlag nicht ermittelbar], ISSN 2284-0400, ZDB-ID 2436330-3. - Vol. 2022, 25 (September 2022) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Other identifiers: | hdl:10419/273627 [Handle] |
Classification: | d22 ; O30 - Technological Change; Research and Development. General |
Source: | ECONIS - Online Catalogue of the ZBW |
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