Industrial estate (IE) was established to obtain economic, territorial, and environmental advantages. A high occupancy rate indicates an IE's success, which depends on thorough IE planning and preparation. However, the literature has not fully explored a comprehensive measurement of IE readiness...

The purpose of this study is to evaluate Exogenous Risk Factors (ERFs) affecting Key Performance Indicators (KPIs) in automotive supply chains, aiming to enhance resilience against global disruptions. The primary research question focuses on identifying and prioritizing ERFs that pose the...

This paper empirically explores the early development of insurance projects in the decentralized finance (DeFi) industry, which is based on disruptive technologies like blockchain and smart contracts. A brief history of DeFi is narrated stressing four risks of DeFi (volatility risk, cyberattack...

Postal services have re-emerged across numerous emerging economies worldwide as essential logistics providers, harnessing their vast coverage and dependability in the face of expanding e-commerce platforms and technological innovations. This study investigates India Post, one of the largest...

The security of critical ICT infrastructure is very important because it is directly related to the safety and lives of the people, and a successful cyber-attack can cause catastrophic damage. According to Korean laws, all critical ICT infrastructures are required to confirm the implementation...

Popayán (Colombia) was the first city to be designated a UNESCO Creative City of Gastronomy in 2005, positioning itself as a symbolic 'myth of origin' within the network. In the context of growing demands for local strategies aligned with the Sustainable Development Goals (SDGs), it is...

Background: This study introduces a novel supply chain management (SCM) model tailored for the hospital industry in Thailand. The model emphasises the integration of third-party logistics (3PL) providers to streamline supply-processing-distribution (SPD) functions. By outsourcing non-core...

Background: The supplier selection process (SSP) has grown as a crucial mechanism in organizations' supply chain management (SCM) strategies and as a foundation for continuously gaining a competitive advantage. The concept of the circular economy has garnered significant interest due to its...

One of the most important aspects for the economic and social growth of a country is high efficiency of public investments. This imperative has never been more critical, especially in the context of Europe and Italy, where the integration of environmental, economic, and social goals is essential...

This study utilizes the Analytic Hierarchy Process (AHP) in combination with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Grey Relational Analysis (GRA) models to thoroughly assess the performance of banks in China, India, Pakistan, and Thailand. The...

Supplier selection has become increasingly complex regarding selection criteria caused by expanded data collection processes and supplier numbers due to globalisation effects. This complexity has led to the consideration of Artificial Intelligence (AI) techniques to facilitate and enhance...

This study proposes an integrated framework for successfully implementing collaboration strategies in supply chain (SC) management using a fuzzy decision-making trial and evaluation laboratory (DEMATEL) and multi-criteria decision-making (MCDM) approach. The study analyses and measures the...

This study aims to assess the container terminal choice from the perspective of shipping lines. The method incorporates the technique for order of preference by similarity to the ideal solution (TOPSIS) under fuzzy environmental conditions, the analytic hierarchy process (AHP), and cumulative...

Background: This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. Method: Initially comprising...

African swine fever (ASF) is a disease outbreak that has substantially impacted agriculture, public health, and food security. This study tackles the lack of knowledge regarding the interactions between multiple factors causing the spread of ASF. We also present a potential for...

Artificial Intelligence (AI) startups possess four key attributes; being small enterprises, adopting AI technology, undergoing digital transformation, and using big data systems to enhance their competitiveness. This study aims to identify the key influencing factors needed to enhance the...

The article deals with the decision-making situation whether it is more advantageous for accounting entities in Czechia to keep accounting according to Czech accounting regulations or to International Financial Reporting Standards. The preparation of financial statements only in accordance with...

This study introduces a decision support model integrating the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select an economic tree product champion (bamboo) to benefit rural communities. An extensive literature review and...

Working types are one of the main issues affected by the turbulences in today’s business life and should be handled carefully. Telework is developing in the shadow of information and communication technologies and has become a necessary capability for companies to adapt to today’s business...

Background Supplier selection has emerged as an important activity regarding strategic purchasing with implications for the operational efficiency of both organisations and supply chains. Given the need to evaluate both qualitative and quantitative criteria for different supply alternatives, the...

Background When pairwise comparisons are used to express preferences for alternatives or judgments on criteria's importance, several methods can be used to derive priorities in multi-criteria decision-making. In the case of inconsistency, different methods give different results. Objectives The...

Selecting the appropriate deep learning (DL) model for healthcare research poses a significant challenge due to the diversity of evaluation criteria and the complex nature of health-related tasks, where a single metric like accuracy is often insufficient. Motivated by the need for a structured,...