Technology Analysis of Global Smart Light Emitting Diode (LED) Development Using Patent Data
Sangsung Park and
Sunghae Jun
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Sangsung Park: Graduate School of Management of Technology, Korea University, Seoul 136701, Korea
Sunghae Jun: Department of Statistics, Cheongju University, Chungbuk 360764, Korea
Sustainability, 2017, vol. 9, issue 8, 1-15
Abstract:
Technological developments related to smart light emitting diode (LED) systems have progressed rapidly in recent years. In this paper, patent documents related to smart LED technology are collected and analyzed to understand the technology development of smart LED systems. Most previous studies of the technology were dependent on the knowledge and experience of domain experts, using techniques such as Delphi surveys or technology road-mapping. These approaches may be subjective and lack robustness, because the results can vary according to the selected expert groups. We therefore propose a new technology analysis methodology based on statistical modeling to obtain objective and relatively stable results. The proposed method consists of visualization based on Bayesian networks and a linear count model to analyze patent documents related to smart LED technology. Combining these results, a global hierarchical technology structure is created that can enhance the sustainability in smart LED system technology. In order to show how this methodology could be applied to real-world problems, we carry out a case study on the technology analysis of smart LED systems.
Keywords: smart LED; technology analysis; patent data; Bayesian networks; statistical modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:9:y:2017:i:8:p:1363-:d:106736
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