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A scientometric review of blockchain research

Author

Listed:
  • Liang Zhou

    (Sichuan University)

  • Lin Zhang

    (Renmin University of China)

  • Ying Zhao

    (Sichuan University)

  • Ruoshu Zheng

    (City University of Hong Kong)

  • Kaiwen Song

    (Sichuan University)

Abstract

As a new and rapidly developing distributed technology, blockchain has shown substantial impact on the fields of cryptocurrency and e-commerce and thus has attracted the interests of governments, enterprises, and research institutions. As such, it is important to understand the state of blockchain research in order for those institutions to plan their research effectively. Towards this goal, we first integrate two search strategies to construct a representative dataset. Then we analyze the blockchain literature between 2013 and 2018 in this dataset with a science mapping approach and Latent Dirichlet Allocation model. Based on the results of the analysis, we found the following insights: (1) the evolution of blockchain research involves many disciplines while two major disciplines—computer science and business—lead the way. (2) The current research can be divided into four research areas: underlying technology architecture, privacy and security, financial application, and smart scene applications. (3) The evolution of blockchain research has gone through three stages: basic blockchain technology, various business applications, and integration with advanced technologies such as fog computing, Internet of things, and artificial intelligence. (4) We also discovered a close coupling of two research issues that have transformative power, i.e., the potential by the application of cryptocurrency in the real world and the improvement of blockchain technology based on the application requirements. Overall, our study uses multiple complementary scientometric methods to generate a panoramic view of the recent developments in blockchain research. Future research directions and some limitations are discussed.

Suggested Citation

  • Liang Zhou & Lin Zhang & Ying Zhao & Ruoshu Zheng & Kaiwen Song, 2021. "A scientometric review of blockchain research," Information Systems and e-Business Management, Springer, vol. 19(3), pages 757-787, September.
    • Handle: RePEc:spr:infsem:v:19:y:2021:i:3:d:10.1007_s10257-020-00461-9
    DOI: 10.1007/s10257-020-00461-9
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    References listed on IDEAS

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    1. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The economics of BitCoin price formation," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
    2. Chaomei Chen & Fidelia Ibekwe‐SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    3. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    4. Chaomei Chen, 2012. "Predictive effects of structural variation on citation counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 431-449, March.
    5. Chaomei Chen, 2012. "Predictive effects of structural variation on citation counts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 431-449, March.
    6. Min Xu & Xingtong Chen & Gang Kou, 2019. "A systematic review of blockchain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-14, December.
    7. Marten Risius & Kai Spohrer, 2017. "A Blockchain Research Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(6), pages 385-409, December.
    8. Ying fan and Adonis Yatchew, 2016. "Introduction," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    9. Chaomei Chen & Fidelia Ibekwe-SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    10. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.
    11. Gareth W Peters & Ariane Chapelle & Efstathios Panayi, 2016. "Opening discussion on banking sector risk exposures and vulnerabilities from Virtual currencies: An Operational Risk perspective," Journal of Banking Regulation, Palgrave Macmillan, vol. 17(4), pages 239-272, November.
    12. J. Leon Zhao & Shaokun Fan & Jiaqi Yan, 2016. "Overview of business innovations and research opportunities in blockchain and introduction to the special issue," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-7, December.
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    Cited by:

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    2. Ren, Yi-Shuai & Ma, Chao-Qun & Chen, Xun-Qi & Lei, Yu-Tian & Wang, Yi-Ran, 2023. "Sustainable finance and blockchain: A systematic review and research agenda," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Zezhou Wu & Lirong Luo & Heng Li & Ying Wang & Guoqiang Bi & Maxwell Fordjour Antwi-Afari, 2021. "An Analysis on Promoting Prefabrication Implementation in Construction Industry towards Sustainability," IJERPH, MDPI, vol. 18(21), pages 1-21, October.

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