Journal
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Volume 138, Issue -, Pages 115-126Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2018.08.013
Keywords
Safety technology; Safety field; Patent analysis; Latent Dirichlet allocation (LDA); Convergence network
Categories
Funding
- National Research Foundation of Korea (NRF) - Korea government (MSIT: Ministry of Science and ICT) [NRF-2017R1C1B5015787]
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As industrial systems expand and complex systems are developed, it is no longer effective to minimize hazards and risks for industrial safety using the technological solutions limited to a single industry. Thus, to resolve complicated problems, safety technology has been developed by promoting technology innovation and convergence. In this respect, this study aims at monitoring major safety fields and technologies through patent analysis to identify the trends in technology development that prevent the risks of various industrial systems. Patent information is effectively used for analyzing technology descriptions, which include the purpose and newness of technology. Using this patent information, we propose the major safety fields and related technology keywords using the following two techniques: (1) latent Dirichlet allocation (LDA), which aims to extract the latent topics and main keywords contained in documents, and (2) network analysis, which is useful for monitoring change patterns and relations. Further, the convergence trajectories of safety technology are identified to provide insights about the technology trends in safety fields. The results are expected to enable safety managers and engineers to effectively find relevant technology trends for reducing hazardous factors.
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