Identifying Emerging Technologies and Leading Companies using Network Dynamics of Patent Clusters: a Cybersecurity Case Study

Abstract Strategic decisions rely heavily on non-scientific instrumentation to forecast emerging technologies and leading companies. Instead, we build a fast quantitative system with a small computational footprint to discover the most important technologies and...

Forecasting Trends in Data Protection and Encryption Technologies using Wikipedia Pageview Statistics

Abstract The goal of this quantitative study is to identify, analyze, and forecast trends related to data protection and encryption technologies. Based on Wikipedia pageview statistics, we study the public interest in 36 technologies that were previously identified by...

S-curves Demystified: Empirical Evidence of Multi-Sigmoid Development in Computer-Science Technologies

Abstract In an environment where technological development largely determines economic growth and social change, predicting these developments is critical for strategic decisions in organizations. Previous work widely uses S-curves to model technological development...

Towards a Technology Convergence Index for Information Technologies: A Keyword Extraction Approach Applied to ArXiv

Abstract Identifying emerging technologies is paramount for anticipating opportunities and risks in organizations early. Previous studies highlight that the combination of technologies sparks innovations. This phenomenon, coined technological convergence, is mainly...