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...

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...

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...

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...

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...

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...

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...

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...

In dem vorliegenden Beitrag wurde ein auf Künstliche Intelligenz gestütztes Kon- zept zur Bewertung und Optimierung der Transportplanungsqualität für die Stahl- und Metalllogistik ausgearbeitet und seine Praktikabilität mithilfe methodischer Untersuchungen nachgewiesen. Somit soll die...

The business strategy structure of a logistics firm is determined by its well-integrated supply chain. A lot of companies fail to structure their business strategy models as their line of activities permit them to improvise.Third party service providing has been a strategic planning...

The rapid growth in the volume of international container transport requires that the entire transport chain become more competitive, including maritime container terminals. The aim of the article is to identify the number and location of major Baltic container terminals and to perform a...

Green hydrogen (GH2) is versatile, non-emissive, and one of the most promising energy vectors that have the potential to decarbonize energy systems and promote sustainability. Offshore renewables (ORs) have an enormous potential to facilitate GH2 production on a large scale. However, ORs-based...