Fuzzy Decision Model: Evaluating and Selecting Open Banking Business Partners
Source abstract
Abstract
The finance supply chain has always been a different supply chain compared to product supply chain being a service supply chain. Open Banking (OB) is one of the most important milestones since the beginning of financial technology innovation and service supply chain. As these are activities provided by traditional banks, non-bank financial institutions also provide financial service with access to consumer banking, transactional and other financial data to develop financial applications and services tailored to their customers. The development of financial technology, “Open banking”, promotes financial services to begin this transformation. However, evaluating and selecting open banking business partners from multiple perspectives for banks are underexplored. Thus, the authors in this research proposed a hybrid multi-criteria decision-making model which includes a Spherical Fuzzy Analytical Hierarchy Process (SF-AHP) model and a Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA) model with supports from seasoned domain experts. The contribution of this research is a proposition of a fuzzy decision model for evaluating and selecting open banking business partners. The model successfully determined a suitable open bank provider in order to assist decision makers decide objectively.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Efficiency Analysis Using DEA · Islamic Finance and Banking Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
Show source-provided references
1. Open banking & APIs for transformation in banking
2. The API economy and digital transformation in financial services: The case of open banking10.2139/ssrn.2975199 ↗
3. Makice · Twitter API · 2009
4. Industry perspectives on process analytical technology: Tools and applications in API development10.1021/op400358b ↗
5. Supplier environmental performance evaluation using AHP
6. Applying environmental criteria to supplier assessment: A study in the application of the analytical hierarchy process10.1016/S0377-2217(01)00261-2 ↗
7. Designing an integrated AHP based decision support system for supplier selection in automotive industry10.1016/j.eswa.2016.06.030 ↗
8. Multi-objective decision-making in supplier selection: An application of visual interactive goal programming10.19030/jabr.v15i2.5679 ↗
9. Supplier selection for steelmaking company by using combined grey-marcos methods
10. Multi-criteria decision-making methods in fuzzy decision problems: A case study in the frozen shrimp industry10.3390/sym13030370 ↗
11. Dry port terminal location selection by applying the hybrid grey MCDM model10.3390/su12176983 ↗
12. Real-time location systems selection by using a fuzzy MCDM approach: An application in humanitarian relief logistics10.1016/j.asoc.2020.106322 ↗
13. A GIS-based interval type-2 fuzzy set for public bread factory site selection10.1108/JEIM-02-2018-0029 ↗
14. Multiattribute decision method for comprehensive logistics distribution center location selection based on 2-dimensional linguistic information10.1016/j.ins.2020.05.131 ↗
15. A spherical fuzzy analytic hierarchy process (SF-aHP) and combined compromise solution (CoCoSo) algorithm in distribution center location selection: A case study in agricultural supply chain10.3390/axioms10020053 ↗
16. A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments10.1016/j.ijpe.2014.11.008 ↗
17. Integrated multi-choice goal programming and multi-segment goal programming for supplier selection considering imperfect-quality and price-quantity discounts in a multiple sourcing environment10.1080/00207721.2012.745024 ↗
18. Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach10.1016/j.cor.2016.11.005 ↗
19. Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming10.1016/j.apm.2013.04.045 ↗
20. Resilient supplier selection and optimal order allocation under disruption risks10.1016/j.ijpe.2019.03.018 ↗
21. Environmental design strategies to decrease the risk of nosocomial infection in medical buildings using a hybrid MCDM model
22. Identification of factors influencing the rise of cesarean sections rates in Pakistan, using MCDM10.1108/IJHCQA-04-2018-0087 ↗
23. A multicriteria decision-making model for the selection of suitable renewable energy sources10.3390/math9121318 ↗
24. An evaluation model of quantitative and qualitative fuzzy multi-criteria decision-making approach for hydroelectric plant location selection10.3390/en13112783 ↗
25. Evaluation of clustering algorithms for financial risk analysis using MCDM methods10.1016/j.ins.2014.02.137 ↗
26. Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan10.1016/j.eswa.2007.02.029 ↗
27. An empirical study of classification algorithm evaluation for financial risk prediction10.1016/j.asoc.2010.11.028 ↗
28. A fuzzy decision support system for credit scoring10.1007/s00521-016-2592-1 ↗
29. Development of a credit limit allocation model for banks using an integrated fuzzy TOPSIS and linear programming10.1016/j.eswa.2011.11.005 ↗
30. An out-of-sample framework for TOPSIS-based classifiers with application in bankruptcy prediction10.1016/j.techfore.2017.05.034 ↗
31. Using fuzzy AHP and VIKOR for benchmarking analysis in the hotel industry10.1080/02642069.2010.503874 ↗
32. An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries10.1057/s41283-020-00061-4 ↗
33. Improving financial service innovation strategies for enhancing China's banking industry competitive advantage during the fintech revolution: A hybrid MCDM model10.3390/su11051419 ↗
34. Application of fuzzy multi-criteria decision-making methods for financial performance evaluation of turkish manufacturing industries10.1016/j.eswa.2011.07.024 ↗
35. The evaluation of financial performance for Taiwan container shipping companies by fuzzy TOPSIS10.1016/j.asoc.2014.03.021 ↗
36. Spherical fuzzy sets and spherical fuzzy TOPSIS method10.3233/JIFS-181401 ↗
37. Pythagorean fuzzy subsets
38. A novel spherical fuzzy analytic hierarchy process and its renewable energy application10.1007/s00500-019-04222-w ↗
39. New hybrid multi-criteria decision-making DEMATEL-mAIRCA model: Sustainable selection of a location for the development of multimodal logistics centre10.1080/1331677X.2018.1506706 ↗