by Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We...
by Anita Mezzetti, Loïc Maréchal, Dimitri Percia David, William Blonay, Sébastien Gillard, Michael Tsesmelis, Thomas Maillart, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract We introduce a novel recursive algorithm that analyzes and ranks the relative influence that companies and technologies have in a technology landscape. The algorithm also incorporates exogenous variables that reflect investor preferences. The results provide...
by Dimitri Percia David, William Blonay, Sébastien Gillard, Thomas Maillart, Alain Mermoud, Loïc Maréchal, Michael Tsesmelis | Sep 20, 2023 | Publications, Scientific Articles
Abstract We propose a reproducible, automated, scalable, and free method for automated bibliometric analysis that requires little computing power. We explain how firms can use this method with open source data from public repositories to generate unbiased insights...
by Dimitri Percia David, Loïc Maréchal, William Blonay, Sébastien Gillard, Michael Tsesmelis, Thomas Maillart, Alain Mermoud | Mar 1, 2023 | Publications, Scientific Articles
Abstract We study security-development patterns in computer-science technologies through (i) the security attention among technologies, (ii) the relation between technological change and security development, and (iii) the effect of opinion on security development. We...
by Anita Mezzetti, Loïc Maréchal, Dimitri Percia David, William Blonay, Sébastien Gillard, Michael Tsesmelis, Thomas Maillart, Alain Mermoud | Oct 14, 2022 | Publications, Scientific Articles
Abstract We introduce TechRank, a recursive algorithm based on a bi-partite graph with weighted nodes. We develop TechRank to link companies and technologies based on the method of reflection. We allow the algorithm to incorporate exogenous variables that reflect an...
