Integrating Patent Analysis Into Technology Roadmapping: A Latent Dirichlet Allocation Based Technology Assessment and Roadmapping in the Field of Blockchain
Published In
Technological Forecasting and Social Change
Document Type
Citation
Publication Date
6-2021
Abstract
This study develops a new analysis method, the latent Dirichlet allocation topic model, and uses it to perform technology assessment and roadmapping analysis of the blockchain field based on patent data. Our results describe the current state of technology development and predict future development trends. The new analysis method is based on technology life cycle theory, the latent Dirichlet allocation topic model, and text similarity calculation, enabling a more effective analysis of the status of R&D in the blockchain field. We find that research on the theory of blockchain, blockchain trading systems, blockchain system structure, and intelligent financial systems based on blockchain should be prioritized to realize the full benefits of this technology.
Rights
© 2021 Elsevier Inc. All rights reserved.
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DOI
10.1016/j.techfore.2021.120729
Persistent Identifier
https://archives.pdx.edu/ds/psu/36338
Citation Details
Hao Zhang, Tugrul Daim, Yunqiu (Peggy) Zhang, Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain, Technological Forecasting and Social Change, Volume 167, 2021, https://doi.org/10.1016/j.techfore.2021.120729.