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Development of a patent roadmap through the Generative Topographic Mapping and Bass diffusion model
- Authors
- Jeong, Yujin; Lee, Keeeun; Yoon, Byungun; Phaal, Rob
- Issue Date
- Oct-2015
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Patent roadmap; Generative Topographic Mapping (GTM); Bass diffusion model; Patent planning and forecasting; Visualization
- Citation
- JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT, v.38, pp 53 - 70
- Pages
- 18
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT
- Volume
- 38
- Start Page
- 53
- End Page
- 70
- ISSN
- 0923-4748
1879-1719
- Abstract
- This paper aims to present a novel concept roadmap the patent roadmap and suggest an advanced patent roadmapping process, based on the Generative Topographic Mapping (GTM) and Bass diffusion model. The process for patent roadmapping is composed of two modules: Developing the GTM-based patent map and determining the appearance time of the emerging patent through Bass model. The result of this research is meaningful knowledge from analyzing a vast store of patent data with quantitative methods and automated tools. It can serve as an effective patent planning tool, and proposes a strategic Research and Business Development (R&BD) for both firms and governments. (c) 2015 Elsevier B.V. All rights reserved.
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Related Researcher
- Yoon, Byung Un
- College of Engineering (Department of Industrial and Systems Engineering)