A Predictive Model of Technology Transfer Using Patent Analysis

Choi, Jaehyun; Jang, Dong-Sik; Jun, Sunghae; Park, Sangsung

doi:10.3390/su71215809

Cited by 45 publications

(33 citation statements)

References 24 publications

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“…Reconstruct a patent-keyword matrix (PKM) from the PTM (1) Search top-ranked terms in the PTM (2) Remove meaningless terms (3) Determine the keywords using the remaining terms (4) Build a PKM…”

Section: Hierarchical Diagram Of Technology For Sustainable Technologmentioning

confidence: 99%

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A Patent Analysis for Sustainable Technology Management

2016

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Technology analysis (TA) is an important issue in the management of technology. Most R&D (Research & Development) policies have depended on diverse TA results. Traditional TA results have been obtained through qualitative approaches such as the Delphi expert survey, scenario analysis, or technology road mapping. Although they are representative methods for TA, they are not stable because their results are dependent on the experts' knowledge and subjective experience. To solve this problem, recently many studies on TA have been focused on quantitative approaches, such as patent analysis. A patent document has diverse information of developed technologies, and thus, patent is one form of objective data for TA. In addition, sustainable technology has been a big issue in the TA fields, because most companies have their technological competitiveness through the sustainable technology. Sustainable technology is a technology keeping the technological superiority of a company. So a country as well as a company should consider sustainable technology for technological competition and continuous economic growth. Also it is important to manage sustainable technology in a given technology domain. In this paper, we propose a new patent analysis approach based on statistical analysis for the management of sustainable technology (MOST). Our proposed methodology for the MOST is to extract a technological structure and relationship for knowing the sustainable technology. To do this, we develop a hierarchical diagram of technology for finding the causal relationships among technological keywords of a given domain. The aim of the paper is to select the sustainable technology and to create the hierarchical technology paths to sustainable technology for the MOST. This contributes to planning R&D strategy for the sustainability of a company. To show how the methodology can be applied to real problem, we perform a case study using retrieved patent documents related to telematics technology.

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Section: Hierarchical Diagram Of Technology For Sustainable Technologmentioning

confidence: 99%

“…Technology analysis (TA) is an important task in technology management fields such as technological forecasting, innovation and transfer [1][2][3][4]. TA is one of the popular works in the management of technology (MOT) [5].…”

Section: Introductionmentioning

confidence: 99%

A Patent Analysis for Sustainable Technology Management

2016

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“…They studied on growth curves based on expert survey and patent data to assess the sustainability of defense technology. A research on the selection method of sustainable technology was introduced by Choi et al (2015) [4]. The authors used a network model based on social network analysis (SNA) for sustainable technology selection, and chose could be used in real problems.…”

Section: Introductionmentioning

confidence: 99%

Statistical Technology Analysis for Competitive Sustainability of Three Dimensional Printing

Park

Jun

2017

Sustainability

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Abstract:The technology of three-dimensional (3D) printing was commercialized in the late 1980s. Since then, the development of this technology has been dramatically increasing. Moreover, 3D printing technology has been used in many different fields, such as electronics and medical appliances, because 3D printing is a technological convergence based on precision instruments, chemical materials, and electrical equipment. The technological impact of 3D printing is so powerful that we need to analyze 3D printing technology to understand the 3D printing industry. In addition, we want more analytical results for understanding the sustainability of 3D printing technology. Thus, we compare the technologies between 3D printing competitors to find their technological innovations and evolution from a technological sustainability. To analyze the 3D printing technology, we propose a new methodology of statistical technology analysis combing social network analysis with time series clustering. In our case study, we make a comparison between "3D Systems" and "Stratasys", two major 3D printing companies, because they have been leading the sustainable technologies of 3D printing in the market. We illustrate how the proposed methodology can be applied to practical problems from the case study. This paper contributes to the sustainable technology management, and our research can expand to other competitors with diverse technological fields as well as 3D printing.

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“…Patent data are highly efficient to search and analyze because the patent specification format is standardized [38,39]. In addition, patent data include bibliographic information in addition to technical information, so various analyses are possible.…”

Section: Data Collection and Sao Structure Extractionmentioning

confidence: 99%

SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map

et al. 2017

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Abstract:The Outcome-Driven Innovation (ODI) method based on the 'Jobs-to-be-done' concept is very useful in the identification of unmet customer needs and has been adopted widely in the industry. The Job Map, a tool of the ODI method, is used to understand customers by defining their behavioral process. Complications must be overcome before the Job Map can be applied to the specific problem in question, such as a time-consuming process, dealing with a large amount of data, and experts' biased work. To solve these problems, this study develops a patent mining-based method based on the subject-action-object (SAO) structure to support the creation of a Job Map by semi-automatizing data collection and analysis. This effort at better utilizing computers in customer analysis for product design will contribute to expanding computerized methods for solving design and engineering problems in practice.

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A Predictive Model of Technology Transfer Using Patent Analysis

Cited by 45 publications

References 24 publications

A Patent Analysis for Sustainable Technology Management

A Patent Analysis for Sustainable Technology Management

Statistical Technology Analysis for Competitive Sustainability of Three Dimensional Printing

SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map

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