Identifying Emerging Technologies and Influential Companies Using Network Dynamics of Patent Clusters

Michael Tsesmelis, Ljiljana Dolamic,Marcus Matthias Keupp,Dimitri Percia David, A. Mermoud

International series in management science/operations research(2023)

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摘要
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 illustrate the capabilities of this system with patent data and discuss how it can help organizations make informed decisions.
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关键词
influential companies,network dynamics,clusters,emerging technologies
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