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Identifying Emerging Trends of Financial Business Method Patents

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  • Won Sang Lee

    (Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 03722, Korea)

  • So Young Sohn

    (Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 03722, Korea)

Abstract

Financial technology has become an important part of the banking industry in recent times. This study attempts to propose a framework to identify emerging areas and trends using financial business method patents. Based on the abstracts of financial business method patents registered at the United States Patent and Trademark Office, this study first applies latent Dirichlet allocation to identify emerging topics. The probability of the annual occurrence of each topic is adjusted through the exponentially weighted moving average to reflect the importance of the recent probability of topics. Each topic is classified as “hot” or “cold” depending on whether the exponentially weighted moving average of the probabilities exceeds the threshold. We applied survival analysis to the time gap of recurrently becoming hot from a cold status with the associated factor of financial business method patents. The findings suggest that the topic with the short granted period and high forward citation is likely to become hot. In addition, the topic that is aged and specific in narrow areas is likely to continuously change into the hot or cold status. The approach proposed in this study contributes toward understanding topic emergence in the financial area and pursuing sustainable development.

Suggested Citation

  • Won Sang Lee & So Young Sohn, 2017. "Identifying Emerging Trends of Financial Business Method Patents," Sustainability, MDPI, vol. 9(9), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1670-:d:112597
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    References listed on IDEAS

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    Cited by:

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    2. Donghyun Choi & Bomi Song, 2018. "Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    3. Yoonki Rhee & Sejun Yoon & Hyunseok Park, 2022. "Exploring Knowledge Trajectories of Accounting Information Systems Using Business Method Patents and Knowledge Persistence-Based Main Path Analysis," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
    4. Nhu Khoa Nguyen & Thierry Delahaut & Emanuela Boros & Antoine Doucet & Gael Lejeune, 2023. "Contextualizing Emerging Trends in Financial News Articles," Papers 2301.11318, arXiv.org.
    5. Francesca Pampurini & Anna Grazia Quaranta, 2024. "Assessing the Impact of Banks’ High-Tech Investments on Efficiency: What Is the Actual Relationship Direction?," International Journal of Business and Management, Canadian Center of Science and Education, vol. 18(6), pages 1-13, January.
    6. Han, Xiaotong & Zhu, Donghua & Lei, Ming & Daim, Tugrul, 2021. "R&D trend analysis based on patent mining: An integrated use of patent applications and invalidation data," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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