Highlights Dual AHP usage improves the accuracy of customer clustering and prioritization. First application of RFM for electronic banking adoption, offering a data-driven approach with transactional data, reducing reliance on subjective survey methods. Cluster demographics used to provide strategic recommendations for enhancing e-service engagement.

Highlights Measuring and evaluating supplier effectiveness is an indispensable process for every company. We aim to objectively and analytically evaluate a supplier evaluation process using Best-Worst (BWM)-based SAW and Entropy-based SAW two-stage MCDM methods. The supplier selection problem is evaluated from a multidimensional perspective with a two-stage analytical approach.

Highlights Evaluate regional vulnerability to anaemia in children Peruvian departments Incorporate a temporal analysis using two distinct points in time Investigation of the drivers behind reduced vulnerability in certain departments and the challenges contributing to increased vulnerability in others ABSTRACTAnemia is a significant public health concern, particularly among children aged 6 to 35 months, due to its adverse effects on cognitive development, physical growth, and overall well-being.This condition exhibits marked regional disparities across Peruvian departments, highlighting the need for systematic and targeted interventions.Building upon prior research, this study employs the Analytic Hierarchy Process to assess anemia vulnerability, integrating sociodemographic and healthcare data into the framework.By comparing two points in time, the study identifies shifts in vulnerability indices, examining the factors contributing to improvements in some departments and the challenges driving increased vulnerability in others.The analysis seeks to uncover effective interventions implemented in regions with positive outcomes and to understand the barriers hindering progress in departments with worsening conditions.By structuring complex decisionmaking processes into a hierarchical framework, the AHP approach allows for the synthesis of multiple criteria to calculate updated vulnerability indices.These findings are visualized through enhanced vulnerability maps, providing a comprehensive view of the regional landscape.This approach aims to facilitate evidence-based policymaking and the design of targeted strategies to reduce anemia prevalence, improve access to prenatal and child healthcare, and ultimately enhance health outcomes for vulnerable populations in Peru.

Comprehensive ANP Framework: Developed to aid blockchain selection specifically for supply chain management. Interdependency Consideration: Emphasizes accounting for the interrelationships among blockchain enablers.

Highlights Net Zero strategies are critical to mitigating global warming. Aligns with Sustainable Development Goals 7

Highlights The paper contains an outline of several ranking-dependent pair-wise comparison patterns. Such patterns and respective matrices can be both complete and incomplete. So, we try to find the specific conditions under which these patterns can be compared in terms of stability to expert errors. We also suggest a simulation algorithm, allowing to experimentally compare stability of several ranking-dependent comparison patterns which can be used in the Analytic Hierarchy Process.

Spare parts of production line assets must be readily available at the lowest possible cost. Hydraulic systems can be found in a wide variety of industrial applications that demand control of large loads and high-power density. The assessment of spare parts of hydraulic systems involves multiple criteria. Multi-criteria decision-making (MCDM) methods were developed to solve problems with several criteria. The AHP (Analytic Hierarchy Process) is a leading MCDM method. This paper presents an AHP application in a steel mill plant located in the Brazilian State of Rio de Janeiro. With the application of AHP, it was possible to identify the highest priority factor for the inventory management of spare parts.

The use of electric vehicles shows an increasing trend. However, the adoption rate of battery electric vehicle (BEV) is still relatively very low compared to the gasoline-powered cars. In the Indonesian market, BEVs are still not affordable for most people. Previous studies on EV have explored many factors that influence the level of adoption and people's purchase intention of electric vehicles. The purpose of this study is to analyze the problemsolution fit of a battery electric vehicle in the Indonesian market. The AHP decision model is adopted in the value proposition design (VPD) framework to see whether electric vehicles have the ability to answer people's pains and gains in performing customers' job to be done of commuting. The most affordable BEV currently introduced in the Indonesian market is chosen in this study. This study is expected to be able to explain the problemsolution fit of any BEV product offered to a certain target customer. In addition, this study can also explain the priorities of the customer pains and gains that gasoline powered car drivers want to resolve.