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...

Scaling up private investment in Decentralised Renewable Energy (DRE) is crucial for achieving universal electricity access in sub-Saharan Africa. Tailored de-risking actions based on investors' risk perceptions can facilitate investment. However, current literature provides a fragmented...

The growing adoption of renewable energy, particularly photovoltaic (PV) solar systems, has led to the development of numerous simulation software tools to simplify system design, analysis, and optimization. This study evaluates five widely used PV simulation software packages-SAM, PVsyst,...

This study aims to examine the Islamic banking performances of the 10 countries with the highest Islamic bank assets between 2018-2022 (including the period of Covid-19 pandemic), to observe whether different criteria weighting methods yield different results and whether there is a relationship...

This study analyses the barriers hindering the implementation of sustainable supply chain practices within the food industry while proposing effective mitigation strategies. Employing an extensive literature review as a foundation, the study utilizes the Pythagorean fuzzy Delphi approach to...

The digitisation of seaports has brought about a significant improvement in efficiency, productivity, and communication within the maritime industry. However, the increasing reliance on technology exposes seaports to cyber threats, constituting significant risk to the economy and national...

The oil and gas industry, with numerous supply chain partners, significantly contributes to the world economy. This industry's operations involve complex processes and interactions with different stakeholders, leading to many drivers contributing to its complexity. This study identifies...

Rapid industrialization necessitates the utmost balance among economic, environmental, and social performance of manufacturing industries for long-term sustainability. The equity among the performance criteria can be maintained through the adoption of sustainability in the industries' supply...

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...

Purpose - Cryptocurrency, an emerging asset class, is a virtual form of currency that uses cryptography for security and operates on decentralised networks based on blockchain technology. It offers both challenges and opportunities for investors, particularly in terms of diversification, risk...

The Colombian government is promoting the transition to electric vehicles in metropolitan areas; however, a lack of decision-making in intermediate and small cities hinders local sustainable objectives. The transition to clean technologies must be aligned with the realities intrinsic to cities....

The selection of suppliers in public procurement significantly impacts economic efficiency and social wellbeing, particularly within residential care institutions responsible for vulnerable populations. Despite the strategic importance of procurement decisions, limited research has addressed...

In response to global challenges posed by climate change and the urgent need to transition toward sustainable energy sources, this study aims to understand societal risk perceptions associated with both established and emerging energy systems. Utilizing the analytical hierarchy process (AHP), a...

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...

COVID-19 pandemic has become a global issue of increasing concern in recent years. As time has passed, existing urban planning and design have gradually been challenged and transformed. The World Health Organization has provided numerous recommendations to the public regarding the transmission...

Background: Selecting enterprise resource planning (ERP) systems for complex port environments is a significant challenge. This study addresses a key research gap by identifying and prioritizing the critical factors for ERP selection within the strategic context of United Arab Emirates (UAE)...

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...

Many countries are prioritizing renewable energy sources in response to fossil fuel depletion, environmental concerns, and the need for energy resilience. This study evaluates five renewable energy alternatives: Biomass, Wind, Solar, Geothermal, and Hydro, with the aim of reducing foreign energy...

China's iron and steel industry, significant for national economic development, is notable for high energy consumption and carbon emissions. To balance industry growth with carbon neutrality goals, it is crucial to analyze emissions throughout production processes. This study begins with an...

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...

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...

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,...

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...

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...