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Article

A Hybrid MCDM Model for Evaluating Open Banking Business Partners

1
Department of Business Administration, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
2
Department of Banking & Finance, Chinese Culture University, Taipei 11114, Taiwan
3
IEMBA Program, Graduate School of Business, National Taipei University, New Taipei City 23741, Taiwan
*
Author to whom correspondence should be addressed.
Mathematics 2021, 9(6), 587; https://doi.org/10.3390/math9060587
Submission received: 22 February 2021 / Revised: 6 March 2021 / Accepted: 7 March 2021 / Published: 10 March 2021
(This article belongs to the Special Issue Multi-Criteria Decision Making and Data Mining)

Abstract

Open banking (OB) is an emerging business field in the financial sector, which relies on intensive collaboration between banks and non-banking service providers. However, how to evaluate OB business partners from multiple perspectives for banks is underexplored. Therefore, this study proposed a hybrid decision model with supports from seasoned domain experts. This study also adopts a domestic bank from Taiwan and four non-banking service providers to illustrate the hybrid approach with the confidence-weighted fuzzy assessment technique. The proposed model might be the first attempt to explore the OB adoption strategy by the novel approach. However, its limitations are the presumed independent relationship among the factors of this hybrid model. Additionally, the results hinge upon domain experts’ knowledge. In practice, the research findings identify the relative importance of banks’ crucial factors to select OB strategic partners, which provide managerial insights and valuable guidance for the banking sector.
Keywords: open banking (OB); financial technology (FinTech); multiple criteria decision-making (MCDM); best-worst method (BWM); fuzzy set theory (FST) open banking (OB); financial technology (FinTech); multiple criteria decision-making (MCDM); best-worst method (BWM); fuzzy set theory (FST)

Share and Cite

MDPI and ACS Style

Daiy, A.K.; Shen, K.-Y.; Huang, J.-Y.; Lin, T.M.-Y. A Hybrid MCDM Model for Evaluating Open Banking Business Partners. Mathematics 2021, 9, 587. https://doi.org/10.3390/math9060587

AMA Style

Daiy AK, Shen K-Y, Huang J-Y, Lin TM-Y. A Hybrid MCDM Model for Evaluating Open Banking Business Partners. Mathematics. 2021; 9(6):587. https://doi.org/10.3390/math9060587

Chicago/Turabian Style

Daiy, Alexander Kuan, Kao-Yi Shen, Jim-Yuh Huang, and Tom Meng-Yen Lin. 2021. "A Hybrid MCDM Model for Evaluating Open Banking Business Partners" Mathematics 9, no. 6: 587. https://doi.org/10.3390/math9060587

APA Style

Daiy, A. K., Shen, K.-Y., Huang, J.-Y., & Lin, T. M.-Y. (2021). A Hybrid MCDM Model for Evaluating Open Banking Business Partners. Mathematics, 9(6), 587. https://doi.org/10.3390/math9060587

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