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Predicting innovative firms using web mining and deep learning

Citations

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Cited by:

  1. Bottai, Carlo & de Rassenfosse, Gaétan & Raiteri, Emilio, 2025. "A new approach to measuring invention commercialization: An application to the SBIR program," Research Policy, Elsevier, vol. 54(9).
  2. Lele Cao & Vilhelm von Ehrenheim & Sebastian Krakowski & Xiaoxue Li & Alexandra Lutz, 2022. "Using Deep Learning to Find the Next Unicorn: A Practical Synthesis," Papers 2210.14195, arXiv.org, revised Jun 2024.
  3. Carolina Castaldi & Sandro Mendonca, 2021. "Regions and trademarks. Research opportunities and policy insights from leveraging trademarks in regional innovation studies," Papers in Evolutionary Economic Geography (PEEG) 2138, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2021.
  4. Rammer, Christian & Kinne, Jan, 2025. "Identifizierung von Technologie- und Innovationstrends der Berliner Wirtschaft auf Basis von Webseiten-Analysen: Ergebnisbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 334907.
  5. Ashouri, Sajad & Hajikhani, Arash & Suominen, Arho & Pukelis, Lukas & Cunningham, Scott W., 2024. "Measuring digitalization at scale using web scraped data," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
  6. Cruciata, Pietro & Pulizzotto, Davide & Beaudry, Catherine, 2024. "First impressions on sustainable innovation matter: Using NLP to replicate B-lab environmental index by analyzing companies' homepages," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
  7. Albina Latifi & David Lenz & Peter Winker, 2024. "Identification of Innovation Drivers Based on Technology-Related News Articles," MAGKS Papers on Economics 202401, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  8. Aaron Kaegi & Cornelia Storz & Tobias ten Brink & Na Zou, 2025. "Web mining science–industry linkages: extending typologies and rethinking knowledge transfer," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(12), pages 6909-6948, December.
  9. van Meeteren, Michiel & Trincado-Munoz, Francisco & Rubin, Tzameret H. & Vorley, Tim, 2022. "Rethinking the digital transformation in knowledge-intensive services: A technology space analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  10. Gloria Cicerone & Sebastian Losacker & Raquel Ortega-Argilés, 2026. "Relatedness and regional specialization in green, digital, and twin economic activities: evidence from the UK," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(1), pages 1-43, March.
  11. Carolina Castaldi, 2025. "Mapping innovation in space," Papers in Evolutionary Economic Geography (PEEG) 2505, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2025.
  12. Krieger, Bastian & Scrofani, Stefania & Strecke, Linus, 2025. "Innovation performance through collaborations with public research organizations: Conducting and signaling mechanisms," ZEW Discussion Papers 25-001, ZEW - Leibniz Centre for European Economic Research.
  13. Bottai, Carlo & Crosato, Lisa & Domenech, Josep & Guerzoni, Marco & Liberati, Caterina, 2024. "Scraping innovativeness from corporate websites: Empirical evidence on Italian manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
  14. Alessandro Marra & Andrea D’Isidoro & Alessandro Sarra, 2026. "Knowledge flows through text data: the case of Milan’s tech ecosystem," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(1), pages 1-22, March.
  15. Julian Schwierzy & Robert Dehghan & Sebastian Schmidt & Elisa Rodepeter & Andreas Stoemmer & Kaan Uctum & Jan Kinne & David Lenz & Hanna Hottenrott, 2022. "Technology Mapping Using WebAI: The Case of 3D Printing," Papers 2201.01125, arXiv.org.
  16. Moritz Böhmecke-Schwafert & Colin Dörries, 2024. "Measuring Innovation in Mauritius’ ICT Sector Using Unsupervised Machine Learning: A Web Mining and Topic Modeling Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 1-34, September.
  17. Dörr, Julian Oliver & Kinne, Jan & Lenz, David & Licht, Georg & Winker, Peter, 2021. "An integrated data framework for policy guidance in times of dynamic economic shocks," ZEW Discussion Papers 21-062, ZEW - Leibniz Centre for European Economic Research.
  18. Alessandro Marra & Marco Cucculelli & Alfredo Cartone, 2024. "So far, yet so close. Using networks of words to measure proximity and spillovers between firms," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 973-1000, December.
  19. Axenbeck, Janna & Breithaupt, Patrick, 2022. "Measuring the digitalisation of firms: A novel text mining approach," ZEW Discussion Papers 22-065, ZEW - Leibniz Centre for European Economic Research.
  20. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  21. Lele Cao & Gustaf Halvardsson & Andrew McCornack & Vilhelm von Ehrenheim & Pawel Herman, 2023. "Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems," Papers 2309.16888, arXiv.org, revised Jun 2024.
  22. Schmidt, Sebastian & Kinne, Jan & Lautenbach, Sven & Blaschke, Thomas & Lenz, David & Resch, Bernd, 2022. "Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining," ZEW Discussion Papers 22-006, ZEW - Leibniz Centre for European Economic Research.
  23. Breithaupt, Patrick & Hottenrott, Hanna & Rammer, Christian & Römer, Konstantin, 2023. "Mapping employee mobility and employer networks using professional network data," ZEW Discussion Papers 23-041, ZEW - Leibniz Centre for European Economic Research.
  24. Dania Eugenidis & Jan Kinne & David Lenz, 2022. "Analysing Gender Equality at the Firm Level," MAGKS Papers on Economics 202214, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  25. Caravaggio, Nicola & Resce, Giuliano & Santangelo, Agapito Emanuele, 2025. "EU Cohesion Policy and Digital Public Services," Economics & Statistics Discussion Papers esdp25100, University of Molise, Department of Economics.
  26. Dahlke, Johannes & Beck, Mathias & Kinne, Jan & Lenz, David & Dehghan, Robert & Wörter, Martin & Ebersberger, Bernd, 2024. "Epidemic effects in the diffusion of emerging digital technologies: evidence from artificial intelligence adoption," Research Policy, Elsevier, vol. 53(2).
  27. Schubert, Torben & Darold, Denilton & Kroll, Henning, 2025. "Knowledge and technology transfer in German universities: An exploratory study leveraging information from university websites," Socio-Economic Planning Sciences, Elsevier, vol. 102(C).
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