As current production and consumption patterns exceed planetary boundaries, many leaders have stressed the need to adopt green economic stimulus policies in the aftermath of the COVID-19 pandemic. This paper provides an integrated multi-stakeholder framework to design an economic recovery...

Access to high-quality and affordable healthcare services is necessary for people worldwide. Achieving this goal requires healthcare providers to procure the best available equipment and pharmaceutical items at the lowest possible cost. Hence, proper supplier selection is crucial for all...

This study addresses the challenges associated with optimal power flow (OPF) management in hybrid power systems incorporating diverse energy sources, particularly focusing on the unpredictability of renewable energy sources (RESs). A novel analytics approach is introduced using Multi-Objective...

This research addresses the challenges of multi-attribute group decision-making in a hesitant fuzzy environment, where randomness and uncertainty introduce biases into practical making choices. A probability-based double uncertain fuzzy (PDHF) algorithm is proposed to overcome these challenges....

Credit risk assessment involves conducting a fair review and evaluation of an assessed subject's solvency and creditworthiness. In the context of real estate enterprises, credit risk assessment provides a basis for banks and other fnancial institutions to choose suitable investment objects....

Supplier selection plays a crucial role in enhancing the competitiveness and operational efficiency of manufacturing industries. In the Indonesian manufacturing sector, where market conditions are dynamic and complex, the need for an effective supplier selection methodology is particularly...

In corporate sustainability reporting, the credibility of environmental, social, and governance (ESG) information is paramount, especially for socially responsible investors relying on ESG metrics. This study proposes an integrated method combining Data Envelopment Analysis (DEA), Analytic...

This study proposes an integrated Decision Support System (DSS) with Multi-Criteria Decision-Making (MCDM) to evaluate trainers in organizations and choose the most suitable one(s) for a training program. The clustering stage determines the most appropriate number of trainees to be assigned to a...

Internationalization makes possible the competitive development of firms. This study proposes a methodology for the selection of international markets that identifies the most favourable international destinations for the paper and paperboard export industry in Colombia. For this purpose, a set...

Chatbots are increasingly integrated into customer support systems due to recent developments in artificial intelligence. Chatbots can provide quick and tailored services to users, including employees and consumers. This paper presents a decision-making framework for chatbot selection in the...