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 : ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung |
Subject: | web data | artificial intelligence | innovation studies | research methods |
Series: | ZEW Discussion Papers ; 25-019 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1928977391 [GVK] RePEc:zbw:zewdip:319890 [RePEc] |
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: |
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Dahlke, Johannes, (2025)
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Using a Large Language Model for Accounting Topic Classification
Burke, Jenna, (2023)
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Urban economics in a historical perspective: recovering data with machine learning
Combes, Pierre-Philippe, (2021)
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Dahlke, Johannes, (2025)
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Dahlke, Johannes, (2024)
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