Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain

Hao Zhang, Tugrul Daim and Zhang, Yunqiu (Peggy)

Technological Forecasting and Social Change, 2021, vol. 167, issue C

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.

Keywords: Blockchain; Latent dirichlet allocation topic model; Patent data; Roadmapping analysis; Technology life cycle; Text similarity calculation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004016252100161X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:167:y:2021:i:c:s004016252100161x

DOI: 10.1016/j.techfore.2021.120729

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().