IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-023-02581-2.html
   My bibliography  Save this article

Unveiling the landscape of Fintech in ASEAN: assessing development, regulations, and economic implications by decision-making approach

Author

Listed:
  • Chia-Nan Wang

    (National Kaohsiung University of Science and Technology)

  • Nhat-Luong Nhieu

    (National Kaohsiung University of Science and Technology)

  • Wei-Lin Liu

    (National Kaohsiung University of Science and Technology)

Abstract

Fintech has gained immense importance as a catalyst for economic growth, trade enhancement, and global prosperity. This study aims to comprehensively assess the influence and potential of Fintech in the Association of Southeast Asian Nations (ASEAN) countries. The research objective is to evaluate the levels of development in financial activities, technology infrastructure, and Fintech-enabling regulations across the region. A robust decision-making framework combining numerical and linguistic assessments is applied, utilizing the Distance-based CRiteria Importance Through Inter-criteria Correlation (DCRITIC) method and the Fuzzy extension of Evaluation based on Distance from Average Solution (F-EDAS approach). The findings reveal varying levels of development among ASEAN countries about Fintech. Governments and policymakers are urged to prioritize the creation of a supportive environment for Fintech innovation to spur economic growth, attract investments, and foster digital transformation. The study is limited because the weights of the key regulations have not been investigated.

Suggested Citation

  • Chia-Nan Wang & Nhat-Luong Nhieu & Wei-Lin Liu, 2024. "Unveiling the landscape of Fintech in ASEAN: assessing development, regulations, and economic implications by decision-making approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-023-02581-2
    DOI: 10.1057/s41599-023-02581-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-02581-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-023-02581-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Giulio Cornelli & Jon Frost & Leonardo Gambacorta & Raghavendra Rau & Robert Wardrop & Tania Ziegler, 2020. "Fintech and big tech credit: a new database," BIS Working Papers 887, Bank for International Settlements.
    3. Chia-Nan Wang & Nhat-Luong Nhieu & Trang Thi Thu Tran, 2021. "Stochastic Chebyshev Goal Programming Mixed Integer Linear Model for Sustainable Global Production Planning," Mathematics, MDPI, vol. 9(5), pages 1-22, February.
    4. Ms. Ratna Sahay & Mr. Ulric Eriksson von Allmen & Ms. Amina Lahreche & Purva Khera & Ms. Sumiko Ogawa & Majid Bazarbash & Ms. Kimberly Beaton, 2020. "The Promise of Fintech: Financial Inclusion in the Post COVID-19 Era," IMF Departmental Papers / Policy Papers 2020/009, International Monetary Fund.
    5. Yoke Wang Tok & Dyna Heng, 2022. "Fintech: Financial Inclusion or Exclusion?," IMF Working Papers 2022/080, International Monetary Fund.
    6. Meghna Aggarwal & Keyurkumar M Nayak & Viral Bhatt, 2023. "Examining the factors influencing fintech adoption behaviour of gen Y in India," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2197699-219, December.
    7. Christian Haddad & Lars Hornuf, 2023. "How do fintech start-ups affect financial institutions’ performance and default risk?," The European Journal of Finance, Taylor & Francis Journals, vol. 29(15), pages 1761-1792, October.
    8. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nhieu, Nhat-Luong & Dang, Tri Dung, 2024. "Harnessing Vietnam's coastal potential: Prioritizing marine energy technologies with an objectively weighting decision-making approach," Renewable Energy, Elsevier, vol. 230(C).
    2. Zonghuang Xu & Yao Lin & Hongyu Cai & Wei Zhang & Jin Shi & Lingyun Situ, 2024. "Risk assessment and categorization of terrorist attacks based on the Global Terrorism Database from 1970 to 2020," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    3. Chia-Nan Wang & Nhat-Luong Nhieu & Chen-Te Chiang & Yen-Hui Wang, 2024. "Assessing Southeast Asia countries’ potential in the semiconductor supply chain: an objectively weighting multi-criteria decision-making approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahsa Ghandi & Abbas Roozbahani, 2020. "Risk Management of Drinking Water Supply in Critical Conditions Using Fuzzy PROMETHEE V Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 595-615, January.
    2. Manuel Casal-Guisande & Alberto Comesaña-Campos & Alejandro Pereira & José-Benito Bouza-Rodríguez & Jorge Cerqueiro-Pequeño, 2022. "A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring," Mathematics, MDPI, vol. 10(3), pages 1-30, February.
    3. Aikaterini Papapostolou & Charikleia Karakosta & Kalliopi-Anastasia Kourti & Haris Doukas & John Psarras, 2019. "Supporting Europe’s Energy Policy Towards a Decarbonised Energy System: A Comparative Assessment," Sustainability, MDPI, vol. 11(15), pages 1-26, July.
    4. Khalid Aljohani & Russell G. Thompson, 2018. "A Stakeholder-Based Evaluation of the Most Suitable and Sustainable Delivery Fleet for Freight Consolidation Policies in the Inner-City Area," Sustainability, MDPI, vol. 11(1), pages 1-27, December.
    5. Koranteng, Barbara & You, Kefei, 2024. "Fintech and financial stability: Evidence from spatial analysis for 25 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    6. Adugna, Hailu, 2024. "Fintech dividend: How would digital financial services impact income inequality across countries?," Technology in Society, Elsevier, vol. 77(C).
    7. Zamani-Sabzi, Hamed & King, James Phillip & Gard, Charlotte C. & Abudu, Shalamu, 2016. "Statistical and analytical comparison of multi-criteria decision-making techniques under fuzzy environment," Operations Research Perspectives, Elsevier, vol. 3(C), pages 92-117.
    8. Aurelien K. Yeyouomo & Simplice A. Asongu & Peter Agyemang-Mintah, 2022. "Fintechs and the financial inclusion gender gap in Sub-Saharan African countries," Working Papers 22/083, European Xtramile Centre of African Studies (EXCAS).
    9. Minh-Tai Le & Nhat-Luong Nhieu, 2022. "A Novel Multi-Criteria Assessment Approach for Post-COVID-19 Production Strategies in Vietnam Manufacturing Industry: OPA–Fuzzy EDAS Model," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    10. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    11. Gourav Gupta & Shivani & Deepika Rani, 2024. "Neutrosophic goal programming approach for multi-objective fixed-charge transportation problem with neutrosophic parameters," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1274-1300, September.
    12. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 2017. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 19(5), pages 975-991, October.
    13. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    14. Marwa Hannouf & Getachew Assefa, 2018. "A Life Cycle Sustainability Assessment-Based Decision-Analysis Framework," Sustainability, MDPI, vol. 10(11), pages 1-22, October.
    15. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore, 2014. "The SMAA-PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 239(2), pages 514-522.
    16. Kim, Jong Soon & Whang, Kyu-Seung, 1998. "A tolerance approach to the fuzzy goal programming problems with unbalanced triangular membership function," European Journal of Operational Research, Elsevier, vol. 107(3), pages 614-624, June.
    17. Berna Tektaş & Hasan Hüseyin Turan & Nihat Kasap & Ferhan Çebi & Dursun Delen, 2022. "A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning," Energies, MDPI, vol. 15(9), pages 1-26, April.
    18. DeFusco, Anthony A. & Tang, Huan & Yannelis, Constantine, 2022. "Measuring the welfare cost of asymmetric information in consumer credit markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 821-840.
    19. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    20. Víctor G. Alfaro-García & Anna M. Gil-Lafuente & Gerardo G. Alfaro Calderón, 2017. "A fuzzy approach to a municipality grouping model towards creation of synergies," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 391-408, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-023-02581-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.