Sie sind hier:
Persönlichkeiten wie Clayton Christensen, Erik Brynjolfsson & Andrew McAfee, Eric Ries, Gary Hamel, Roger Martin, Don Tapscott und Michael Porter.
Bereich: FB7
vor und leitete die entsprechende Session. Ann Hipp präsentierte ein Papier in Zusammenarbeit mit Martin Kalthaus (Universität Jena) zum Thema „Firm Entry, Value Chain Position and Industry Dynamics“ und
Hottenrott , Professor of Economics - TU München) • Machine Learning with Application in Economics ( Martin Spindler , Professor for Statistics - University of Hamburg) • Entrepreneurship ( Matthias Menter
integrate technological drivers in urban innovation in their plans. Nguyen, Ngoc Uyen Phuong; Moehrle, Martin G. (2019): Technological Drivers of Urban Innovation: A T-DNA Analysis Based on US Patent Data. In
paper about this topic at the DRUID conference in Copenhagen. The paper is co-authored by Prof. Dr. Martin G. Moehrle. By combining computer vision and natural language processing techniques, the authors
Nils Denter, Fabian Seeger and Martin G. Moehrle published a new paper in the International Journal of Information Management journal titled “How can Blockchain technology support patent management? A
economies" and chaired the corresponding session. Ann Hipp presented a paper in collaboration with Martin Kalthaus (University of Jena) on "Firm Entry, Value Chain Position and Industry Dynamics" and chaired
Summer School on Data and Algorithms for ST&I Studies in Leuven. The paper is co-authored by Prof. Dr. Martin G. Möhrle, Nils Denter and Eliza Stenzhorn. By conducting unsupervised and supervised machine learning
Philip Kerner und Tobias Wendler haben gemeinsam mit Martin Kalthaus (University of Southern Denmark) einen Artikel in der internationalen, referierten Zeitschrift „Energy Economics“ zu der Rolle von