Fintech investments in European banks:a hybrid IT2 fuzzy multidimensional decision‑making approach

Financial technology(Fintech)makes a significant contribution to the financial system by reducing costs,providing higher quality services and increasing customer satisfaction.Hence,new studies play an essential role to improve Fintech investments.This study evaluates Fintech-based investments of European banking services with an application of an original methodology that considers interval type-2(IT2)fuzzy decision-making trial and evaluation laboratory and IT2 fuzzy TOPSIS models.Empirical findings are controlled for consistency by applying the VIKOR method.Moreover,we conduct a sensitivity analysis by considering six distinct cases.This study contributes to the existing literature by identifying the most important Fintech-based investment alternatives to improve the financial performance of European banks.Our empirical findings illustrate that results are coherent,reliable,and identify“competitive advantage”as the most important factor among Fintech-based determinants.Moreover,“payment and money transferring systems”are the most important Fintech-based investment alternatives.It is recommended that,among Fintech-based investments,European banks should mainly focus on payment and money transferring alternatives to attract the attention of customers and satisfy their expectations.This is also believed to have a positive impact on the ease of bank’receivable collection.Another important point is that Fintech-based investments in money transferring systems could help to decrease costs.

A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech‑based clean energy investment projects

This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the consensus-based group decisionmaking with incomplete preferences,Pythagorean fuzzy decision-making trial and evaluation laboratory(DEMATEL)and technique for order preference by similarity to ideal solution(TOPSIS).Moreover,a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I.Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases.The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model.By considering the iteration technique and consensus-based analysis,the missing parts in the evaluations can be completed and opposite opinion problems can be reduced.Furthermore,with the help of hybrid MCDM model by combining DEMATEL and TOPSIS,more objective results can be reached.It is concluded that the analysis results are coherent and reliable.The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives.On the other side,the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative.Additionally,it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects.In this way,it will be possible to provide a continuous resource for clean energy investment projects.On the other hand,by providing financing with equity,there will be no fixed financing cost for clean energy investors.If these investors make a profit,they distribute dividends with the decision of their authorized bodies.

Consensus‑based multidimensional due diligence of fintech‑enhanced green energy investment projects

The purpose of this study is to provide a hybrid group decision-making approach to evaluate fintech-based financial alternatives for green energy investment projects.First,the multidimensional factors of due diligence for fintech-based financing alternatives of green energy investment projects are identified.In this regard,the balanced scorecard perspectives are considered.Next,consensus-based group decision-making analysis is performed.Second,impact-relation directions for fintech-based financing alternatives of green energy investment projects are defined.For this purpose,the spherical fuzzy Decision-Making Trial and Evaluation Laboratory(DEMATEL)methodology is applied.The novelty of this study is its proposal of a new outlook to due diligence of fintech-project financing for renewable energy investments by using the group and integrated decision-making approaches with spherical fuzzy DEMATEL.The findings indicate that customer expectations are the most essential factor for the revenue sharing and rewarding models.Additionally,this study identified that organizational competency plays the most important role with respect to the peer-to-business debt model.In contrast,the conclusion was reached that financial returns have the greatest importance for the equity sharing model.