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Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

Author

Listed:
  • Inchae Park

    (Department of Industrial & Systems Engineering, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 100-715, Korea)

  • Keeeun Lee

    (Department of Industrial & Systems Engineering, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 100-715, Korea)

  • Byungun Yoon

    (Department of Industrial & Systems Engineering, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 100-715, Korea)

Abstract

Given the challenging environmental issues in the energy sector, the importance of strategic research and development (R&D) planning has been emphasized to manage a turbulent business situation. This study aims to propose a methodology for exploring promising research frontiers in the energy sector. To this end, first, core documents are collected from scientific documents such as patents and academic papers. Second, the research frontiers are extracted by clustering the core documents based on the bibliographic relations. Third, a knowledge map is generated by mapping the relations between research frontiers. Finally, the promising research frontiers (RFs) are identified by conducting dynamic analyses and the contents of promising RFs are suggested. As an illustration of the method, the field of solar cell technology is chosen and analyzed As a result, the promising research frontiers from the patent knowledge map are related to development (D) themes and promising research frontiers from scientific paper knowledge map are related to the research (R) themes. The proposed method and results can be utilized by researchers, R&D policy makers, and administrations in practice.

Suggested Citation

  • Inchae Park & Keeeun Lee & Byungun Yoon, 2015. "Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field," Sustainability, MDPI, vol. 7(10), pages 1-30, October.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:10:p:13660-13689:d:56890
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    References listed on IDEAS

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    Cited by:

    1. Martin Kalthaus, 2017. "Identifying technological sub-trajectories in photovoltaic patents," Jena Economics Research Papers 2017-010, Friedrich-Schiller-University Jena.
    2. Inchae Park & Byungun Yoon, 2018. "Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis," Sustainability, MDPI, vol. 10(11), pages 1-32, November.
    3. BangRae Lee & DongKyu Won & Jun-Hwan Park & LeeNam Kwon & Young-Ho Moon & Han-Joon Kim, 2016. "Patent-Enhancing Strategies by Industry in Korea Using a Data Envelopment Analysis," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    4. Wencan Tian & Yongzhen Wang & Zhigang Hu & Ruonan Cai & Guangyao Zhang & Xianwen Wang, 2024. "Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3285-3302, June.
    5. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.

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