News

David Lenz and Jan Kinne generate corporate information in real-time. The Covid-19 pandemic pushed their business model. With their analyses they support European policy makers in identifying the economic consequences.

Publications

Dania Eugenidis, David Lenz, Christoph Leser, Frauke Schleer-van Gellecom  und Peter Winker (2020), Text-mining basierte Analyse der Kapitalmarktreaktionen auf Ad-hoc-Mitteilungen, CORPORATE FINANCE, 09-10.

Mirtsch, Mona, Jan Kinne und Knut Blind (2020), Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis, IEEE Transactions on Engineering Management.

Kinne, Jan, Miriam Krüger, David Lenz, Georg Licht und Peter Winker (2020), Corona-Pandemie betrifft Unternehmen unterschiedlich, Tagesaktuelle Webseiten-Analyse zur Reaktion von Unternehmen auf die Corona-Pandemie in Deutschland, ZEWKurzexpertise Nr. 20-05, Mannheim.

Kinne, Jan und Resch Bernd (2018), Generating Big Spatial Data on Firm Innovation Activity from Text- Mined Firm Websites, GI_Forum 1, 8289.

Krüger, Miriam, Jan Kinne, David Lenz und Bernd Resch (2020), The Digital Layer: How Innovative Firms Relate on the Web, ZEW Discussion Paper No. 20-003, Mannheim.

Rammer, Christian, Jan Kinne und Knut Blind (2019), Knowledge Proximity and Firm Innovation: A Microgeographic Analysis for Berlin, Urban Studies.

D. Lenz, C. Schulze, M. Guckert (2018),”Real-time Session-Based Recommendations using LSTM with neural Embeddings”Artificial Neural Networks and Machine Learning – ICANN 2018 | SpringerLink.

D. Lenz, P. Winker (2020), “Measuring the Diffusion of Innovations with Paragraph Vector Topic Models” PLOS ONE. 2020;15(1):1-18

Kinne, Jan und David Lenz (2019), Predicting Innovative Firms Using Web Mining and Deep Learning, ZEW Discussion Paper No. 19-001, Mannheim.

Kinne, Jan und Bernd Resch (2018), Analyzing and Predicting MicroLocation Patterns of Software Firms, ISPRS International Journal of GeoInformation 7, 1.

Kinne, Jan und Janna Axenbeck (2018), Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany, ZEW Discussion Paper No. 18-033, Mannheim.

Press articles