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A Bibliometric Analysis of the FinTech Agility Literature: Evolution and Review

Author

Listed:
  • Abdelkebir Sahid

    (SIAD Laboratory, ENCG Settat, Hassan 1st University, Settat 26000, Morocco)

  • Yassine Maleh

    (LaSTI Laboratory, Sultan Moulay Slimane University, Beni Mellal 25000, Morocco)

  • Shahram Atashi Asemanjerdi

    (Department of Applied Economics, Faculty of Economics and Business Sciences, University of Valladolid, 47002 Valladolid, Spain)

  • Pedro Antonio Martín-Cervantes

    (Department of Financial Economics and Accounting, Faculty of Economics and Business Sciences, University of Valladolid, 47002 Valladolid, Spain)

Abstract

Bibliometric analysis is crucial in understanding the evolution of research trends and knowledge in various fields. This study applies bibliometric analysis to explore the growth of the research paradigm on agility in the FinTech literature, using co-citation analysis and bibliographic coupling of selected articles. Based on this bibliometric analysis, the evolution of research on agility in the FinTech domain has been prepared, focusing on the literature related to FinTech agility between 1984 and 2022. In this study, we also address the limitations of individual analyses from Scopus and Web of Science (WOS) and propose a comprehensive approach by merging the two research databases. The results reveal significant disparities between authors, publication influences, and keyword occurrences between the WOS and merged databases. Our research highlights the importance of combining a database approach in bibliometric studies, providing valuable insights for scholars, researchers, and stakeholders. Finally, the in-depth bibliometric analysis demonstrates the significance of “FinTech agility” in the rapidly evolving FinTech sector. Financial technology companies’ agility, or ability to adapt quickly, is the foundation of their success and innovation.

Suggested Citation

  • Abdelkebir Sahid & Yassine Maleh & Shahram Atashi Asemanjerdi & Pedro Antonio Martín-Cervantes, 2023. "A Bibliometric Analysis of the FinTech Agility Literature: Evolution and Review," IJFS, MDPI, vol. 11(4), pages 1-32, October.
    • Handle: RePEc:gam:jijfss:v:11:y:2023:i:4:p:123-:d:1263905
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    References listed on IDEAS

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    1. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    2. Armstrong, J. Scott, 1977. "Social irresponsibility in management," Journal of Business Research, Elsevier, vol. 5(3), pages 185-213, September.
    3. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    4. Saïd Echchakoui, 2020. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 165-184, September.
    5. John Mingers & Evangelia A. E. C. G. Lipitakis, 2010. "Counting the citations: a comparison of Web of Science and Google Scholar in the field of business and management," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 613-625, November.
    6. Taewon Hwang & Sung Tae Kim, 2019. "Balancing in-house and outsourced logistics services: effects on supply chain agility and firm performance," Service Business, Springer;Pan-Pacific Business Association, vol. 13(3), pages 531-556, September.
    7. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    8. Donthu, Naveen & Kumar, Satish & Pandey, Neeraj & Pandey, Nitesh & Mishra, Akanksha, 2021. "Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis," Journal of Business Research, Elsevier, vol. 135(C), pages 758-773.
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