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A Network Analysis Model for Selecting Sustainable Technology

Author

Listed:
  • Sangsung Park

    (Graduate School of Management of Technology, Korea University, Seoul 136-701, Korea)

  • Seung-Joo Lee

    (Department of Statistics, Cheongju University, Chungbuk 363-764, Korea)

  • Sunghae Jun

    (Department of Statistics, Cheongju University, Chungbuk 363-764, Korea)

Abstract

Most companies develop technologies to improve their competitiveness in the marketplace. Typically, they then patent these technologies around the world in order to protect their intellectual property. Other companies may use patented technologies to develop new products, but must pay royalties to the patent holders or owners. Should they fail to do so, this can result in legal disputes in the form of patent infringement actions between companies. To avoid such situations, companies attempt to research and develop necessary technologies before their competitors do so. An important part of this process is analyzing existing patent documents in order to identify emerging technologies. In such analyses, extracting sustainable technology from patent data is important, because sustainable technology drives technological competition among companies and, thus, the development of new technologies. In addition, selecting sustainable technologies makes it possible to plan their R&D (research and development) efficiently. In this study, we propose a network model that can be used to select the sustainable technology from patent documents, based on the centrality and degree of a social network analysis. To verify the performance of the proposed model, we carry out a case study using actual patent data from patent databases.

Suggested Citation

  • Sangsung Park & Seung-Joo Lee & Sunghae Jun, 2015. "A Network Analysis Model for Selecting Sustainable Technology," Sustainability, MDPI, vol. 7(10), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:10:p:13126-13141:d:56384
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    References listed on IDEAS

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    5. Jian Wu & Guangdong Wu & Qing Zhou & Mi Li, 2014. "Spatial Variation of Regional Sustainable Development and its Relationship to the Allocation of Science and Technology Resources," Sustainability, MDPI, vol. 6(9), pages 1-18, September.
    6. Butts, Carter T., 2008. "Social Network Analysis with sna," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i06).
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