The WebAI paradigm of innovation research : extracting insight from organizational web data through AI
Year of publication: |
[2025]
|
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Authors: | Dahlke, Johannes ; Schmidt, Sebastian ; Lenz, David ; Kinne, Jan ; Dehghan, Robert ; Abbasiharofteh, Milad ; Schütz, Moritz ; Kriesch, Lukas ; Hottenrott, Hanna ; Kanilmaz, Umut Nefta ; Grashof, Nils ; Hajikhani, Arash ; Liu, Lingbo ; Riccaboni, Massimo ; Balland, Pierre-Alexandre ; Wörter, Martin ; Rammer, Christian |
Publisher: |
Mannheim, Germany : ZEW - Leibniz Centre for European Economic Research |
Subject: | web data | artificial intelligence | innovation studies | research methods | Innovation | Künstliche Intelligenz | Artificial intelligence | Wissenschaftliche Methode | Scientific method | Social Web | Social web | Internet |
Extent: | 1 Online-Ressource (circa 43 Seiten) Illustrationen |
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Series: | Discussion paper. - [Mannheim] : [ZEW], ZDB-ID 2985404-0. - Vol. no. 25, 019 (04/2025) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Classification: | C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C45 - Neural Networks and Related Topics ; B4 - Economic Methodology ; O3 - Technological Change; Research and Development ; R1 - General Regional Economics |
Source: | ECONIS - Online Catalogue of the ZBW |
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Dahlke, Johannes, (2025)
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