Imputed Expert Decision Recommendation System for QFD-based Omnichannel Strategy Selection for Financial Services

Abstract

In this study, a novel hybrid fuzzy decision-making model is constructed for the effective omnichannel strategy selection of financial services. The first phase of this model is related to inputting missing expert decisions for the quality function deployment (QFD) stages and omnichannel service strategies. The QFD stages of financial services are then weighted by bipolar [Formula: see text]-rung orthopair fuzzy ([Formula: see text]-ROF) multi-stepwise weight assessment ratio analysis ([Formula: see text]-SWARA) based on the golden ratio. The QFD-based omnichannel strategy alternatives for financial services are then ranked using bipolar [Formula: see text]-ROF ELECTRE. These calculations are also performed by considering PFSs and IFSs. Finally, the TOPSIS methodology is used to rank the alternatives so that comparative results can be obtained. The main contribution of this study is the creation of effective omnichannel strategies to improve financial services using a novel hybrid fuzzy decision-making methodology based on bipolar [Formula: see text]-rung orthopair fuzzy sets ([Formula: see text]-ROFSs), [Formula: see text]-SWARA, ELECTRE, and the imputation of expert evaluations with collaborative filtering. The analysis results obtained will facilitate determination of the most appropriate omnichannel strategies for businesses to provide effective financial services. In this manner, companies will be able to determine appropriate marketing strategies without incurring excessive costs. Because the analysis results are the same for all fuzzy sets, the proposed model is coherent and reliable. The findings demonstrate that online financial services are the most critical strategy for improving omnichannel. Thus, companies should prioritize online channels to provide financial services that are more effective.

Using Multi-Criteria Decision Making in Quality Function Deployment for Offshore Renewable Energies

“…Newer methodologies have also been used in QFD in recent case studies, including hesitant fuzzy linguistics [36,73,74], fuzzy DEMATEL [39,75], grey relational analysis (GRA) [37,42,46,47,76], interval-valued fuzzy numbers (IVFN) [65,77], fuzzy Delphi method (FDM) [37,39,40,46,47,49,75], complex proportion assessment method (COPRAS) [78], ordinal priority approach-combinative distance-based assessment (OPA-CODAS) [79], social network analysis (SNA) [80], multi-stepwise weight assessment ratio analysis (M-SWARA) [81], entropy weight method (EWM) [38], double hierarchy hesitant linguistic term sets (DHHLTSs) [36], organísation, rangement et synthèse de données relarionnelles (ORESTE) [36], best-worst method-based [39,82], combined compromise solution (Co-CoSo) [43,70], Dempster-Shafer Theory (DST) [83], fuzzy cognitive maps (FCM) [84], proportional hesitant fuzzy linguistic term sets (PHFLTSs) [85], cumulative prospect theory (CPT) [85], fuzzy measuring attractiveness by a categorically based evaluation technique (FMACBETH) [40], and fuzzy full consistency method (FUCOM) [35,86].…”

“…In the first four months of 2023, 13 studies were identified to achieve supply chain targets [83,87,88] and improvement products [57,89] in post COVID-19 scenarios [87] and also in the energy sector, where an interesting approach was used to address sustainable targets based on a life cycle assessment (LCA) [62] and the creation of roadmaps [82]. The methodologies in HoQ structure are mainly AHP [57], fuzzy AHP [62], and hybrid fuzzy models such as [81,83], PROMETHEE II [89] and TOPSIS [63]. These case studies were applied in the supply chain, sustainability, and design and product development.…”

“…These case studies were applied in the supply chain, sustainability, and design and product development. The methodologies in HoQ structure are mainly AHP [57], fuzzy AHP [62], and hybrid fuzzy models such as [81,83], PROMETHEE II [89] and TOPSIS [63]. These case studies were applied in the supply chain, sustainability, and design and product development.…”

A Novel Fuzzy Model for Knowledge-Driven Process Optimization in Renewable Energy Projects

“…First, weights can be easily calculated with the SWARA method. In addition, the SWARA method can perform consistency analysis of comparisons (Kou et al, 2023a). In this way, it can be checked whether the data received from users is consistent.…”

Insurtech in Europe: identifying the top investment priorities for driving innovation

“…An accurate pricing model makes it possible to offer appropriate pricing to customers' demands and to gain a competitive advantage (Njegomir and Demko-Rihter 2023). Insurtech companies must gain a competitive advantage in the industry by developing new products and services tailored to their customers' needs (Kou et al 2023). New product development is a vital factor in increasing the growth potential of insurtech companies (Tladinyane et al 2022).…”