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Hybrid Decision Model for Evaluating Blockchain Business Strategy: A Bank’s Perspective

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  • Nien-Ping Chen

    (Graduate Institute of Finance, National Taiwan University of Science and Technology, Taipei 10633, Taiwan)

  • Kao-Yi Shen

    (Department of Banking & Finance, Chinese Culture University, Taipei 11114, Taiwan)

  • Chiung-Ju Liang

    (Graduate Institute of Finance, National Taiwan University of Science and Technology, Taipei 10633, Taiwan)

Abstract

Banks attempt to invest in emerging financial technology (FinTech), such as blockchain, to enhance competitiveness. There is a great deal of literature on the technical and legal aspects of blockchain. However, there is little specific guidance on how banks can apply a holistic model to evaluate the blockchain-based business. This study proposes a hybrid decision model with confidence-weighted fuzzy assessments to address this valuable research topic. Supported by a group of seasoned experts, five major blockchain-based business models are evaluated for a domestic bank in Taiwan. The key findings contribute to understanding the importance of the involved factors and identifying the ideal business strategy for the bank. The result suggests that the most crucial dimension is policies and regulations, not the technical capability of banks.

Suggested Citation

  • Nien-Ping Chen & Kao-Yi Shen & Chiung-Ju Liang, 2021. "Hybrid Decision Model for Evaluating Blockchain Business Strategy: A Bank’s Perspective," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5809-:d:559672
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    References listed on IDEAS

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    1. Qun Zhao & Pei-Hsuan Tsai & Jin-Long Wang, 2019. "Improving Financial Service Innovation Strategies for Enhancing China’s Banking Industry Competitive Advantage during the Fintech Revolution: A Hybrid MCDM Model," Sustainability, MDPI, vol. 11(5), pages 1-29, March.
    2. Chang, Victor & Baudier, Patricia & Zhang, Hui & Xu, Qianwen & Zhang, Jingqi & Arami, Mitra, 2020. "How Blockchain can impact financial services – The overview, challenges and recommendations from expert interviewees," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Roberto Leonardo Rana & Pasquale Giungato & Angela Tarabella & Caterina Tricase, 2019. "Blockchain Applications and Sustainability Issues," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(S13), pages 861-861, November.
    4. Hernández-Murillo, Rubén & Llobet, Gerard & Fuentes, Roberto, 2010. "Strategic online banking adoption," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1650-1663, July.
    5. Anjee Gorkhali & Ling Li & Asim Shrestha, 2020. "Blockchain: a literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(3), pages 321-343, July.
    6. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    7. Ye Guo & Chen Liang, 2016. "Blockchain application and outlook in the banking industry," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-12, December.
    8. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Ping Zhang, 2018. "DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-33, January.
    9. He, Dongwei & Ho, Chun-Yu & Xu, Li, 2020. "Risk and return of online channel adoption in the banking industry," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    10. Lohmer, Jacob & Bugert, Niels & Lasch, Rainer, 2020. "Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study," International Journal of Production Economics, Elsevier, vol. 228(C).
    11. Xavier Vives, 2019. "Digital Disruption in Banking," Annual Review of Financial Economics, Annual Reviews, vol. 11(1), pages 243-272, December.
    12. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    13. Simon Fernandez-Vazquez & Rafael Rosillo & David De La Fuente & Paolo Priore, 2019. "Blockchain in FinTech: A Mapping Study," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    14. Kauffman, Robert J. & Liu, Jun & Ma, Dan, 2015. "Innovations in financial IS and technology ecosystems: High-frequency trading in the equity market," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 339-354.
    15. Jim-Yuh Huang & Kao-Yi Shen & Joseph C.P. Shieh & Gwo-Hshiung Tzeng, 2019. "Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model," Sustainability, MDPI, vol. 11(3), pages 1-27, January.
    16. Pilkington Marc, 2016. "Blockchain Technology: Principles and Applications," Post-Print halshs-01231205, HAL.
    17. Kimani, Danson & Adams, Kweku & Attah-Boakye, Rexford & Ullah, Subhan & Frecknall-Hughes, Jane & Kim, Ja, 2020. "Blockchain, business and the fourth industrial revolution: Whence, whither, wherefore and how?," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    18. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    19. Ghezzi, Antonio & Cavallo, Angelo, 2020. "Agile Business Model Innovation in Digital Entrepreneurship: Lean Startup Approaches," Journal of Business Research, Elsevier, vol. 110(C), pages 519-537.
    20. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    21. Hojckova, Kristina & Ahlborg, Helene & Morrison, Gregory M. & Sandén, Björn, 2020. "Entrepreneurial use of context for technological system creation and expansion: The case of blockchain-based peer-to-peer electricity trading," Research Policy, Elsevier, vol. 49(8).
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    Cited by:

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    2. Hang Yu & Senlai Zhu & Jie Yang, 2021. "The Quality Control System of Green Composite Wind Turbine Blade Supply Chain Based on Blockchain Technology," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    3. Yu-Cheng Kao & Kao-Yi Shen & San-Ting Lee & Joseph C. P. Shieh, 2022. "Selecting the Fintech Strategy for Supply Chain Finance: A Hybrid Decision Approach for Banks," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    4. Jan Schwiderowski & Asger Balle Pedersen & Jonas Kasper Jensen & Roman Beck, 2023. "Value creation and capture in decentralized finance markets: Non-fungible tokens as a class of digital assets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-16, December.
    5. Ulaş Ünlü & Neşe Yalçın & Nuri Avşarlıgil, 2022. "Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach," Mathematics, MDPI, vol. 10(13), pages 1-22, July.

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