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.

Balanced scorecard-based analysis of customer expectations for cosmetology services:a hybrid decision modeling approach

The goal of this study is to analyze and characterize customer expectations in the cosmetics sector.Within this framework,first,the extant literature is reviewed,and 12 most prominent performance measurement criteria are identified.Then,these criteria are organized along the four different balanced scorecard dimensions.By employing an Interval Type-2 Fuzzy DEMATEL methodology,the weighted importance of these dimensions and criteria are identified.Additionally,with the Interval Type-2 Fuzzy TOPSIS approach,13 leading cosmetic service providers in Ukraine are ranked based on their relative scores.The findings of the study indicate that consumer is the most significant dimension while learning and growth seem to have the least importance.Similarly,it is also concluded that all consumerfocused criteria(i.e.diversification of services,feedback on the product and services,and customer loyalty)have the highest priorities in the complete criterion set.