The purpose of the article is to develop a methodology that will make it possible to use attitudes and expressions of professional language to the maximum extent when selecting business goals of high-tech entrepreneurship during the development, production and sale of the latest products and to...

Environmental turbulence, which reflects the degree of complexity, volatility, and unpredictability of the external environment, impacts the performance of logistics service providers (LSPs) and has become vital for LSPs in recent years. Managers depend on logistics capabilities to hedge...

The footwear manufacturing industry substantially aids global fashion trends and economic growth. Still, it faces challenges such as excessive raw material waste, increased rework, and inadequate quality control, which hinder sustainability and competitiveness. Integrating Industry 4.0...

In today's competitive global markets, organizations increasingly recognize the necessity of prioritizing projects that improve financial performance and address resource conservation, environmental protection, and community well-being. This study introduces a novel approach to enhance the...

Digital transformation (DT) is imperative to improve co-ordination, collaboration, efficiency, and visibility of organizations in today's complex global supply chains. Such transformations should be driven by the internal requirements of the organization and the expectations of external...

The main goal of the research was to develop a multi-criteria hybrid model for evaluating the region in the context of sustainable tourism, based on the example of the countries of the Visegrad Group. The research uses the mathematical apparatus of expert evaluation, theory of fuzzy sets, fuzzy...

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)...

Sustainable Supplier Selection and Order Allocation (SSSOA) are critical strategic decisions in supply chain management. The decision-making process becomes complex under uncertainty, especially in a multi-supplier, multi-item, and multi-period environment. This study proposes a four-stage...

This study examines how blockchain technology (BT) enhances sustainability and resilience in construction supply chains (CSCs). Recognizing the sector's vulnerability to disruptions and inefficiencies, the research aims to identify key blockchain facilitators (BTFs) that enhance environmental,...

The reorder point formula in the Economic Order Quantity (EOQ) model traditionally assumes that demand during the lead-time follows a normal distribution. However, this assumption presents several challenges. First, alternative probability distributions may better capture demand patterns for...

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...

Traceability capability to track the history, location, and application of dairy products is crucial for ensuring food safety, quality, and transparency across supply chains. However, its development in emerging economies, particularly in Iran, remains limited due to infrastructural and...

Measuring digital transformation is inherently complex and multidimensional, with objective evaluation hindered by subjective factors. Existing maturity models and composite indices typically capture readiness and technology adoption but fail to address the subjective nature of digitalization...

In the rapidly evolving landscape of data analytics, effective decision-making is paramount. Multi-attribute decision-making (MADM) techniques are widely applied to handle uncertainty and vagueness in diverse fields such as medical diagnosis, social selection, networking, and environmental...

The objective of this article is to delve into the digital financial asset (DFA) portfolio price of institutional investors, such as hedge funds. The aim is to make a significant contribution by providing methods (statistical methods and fuzzy logic) for investors to identify and select the best...

Small-scale wind turbines are essential energy sources for hospitals because they have several advantages, such as lower maintenance costs and the possibility of customization. However, small-scale wind energy projects often have high capital requirements. Many factors affect the performance of...

This study has two objectives: to identify sector-specific sustainability indicators from the literature and industry and to evaluate their importance through expert input.The analysis was conducted using the Fermatean fuzzy entropy and WASPAS method.The study found that, according to experts,...

Background: Improving operational efficiency in the mining industry increasingly de-pends on a mature asset management framework and the careful selection of reliable, sustainable suppliers for systems, personnel, equipment, and services. Given the complexity of mining operations and the growing...

Renewable energy projects need innovative investment strategies to adapt to rapidly changing technology and market conditions. These strategies increase the economic efficiency of the projects while achieving environmental sustainability goals. Despite extensive research on renewable energy...

Supply Chain Disaster Management (SCDM) is essential for mitigating disruptions, ensuring business continuity, and maintaining a competitive advantage. This study introduces a comprehensive decision model to assess disaster management readiness within the upstream supply chain. Through an...

Traffic congestion (TC) disrupts everyday life, elevating stress levels, extending commute durations, diminishing productivity, hampering air quality, and reducing the overall quality of life. Congestion exacerbates already-existing problems in densely populated cities and makes efficient urban...

The innovation capacity of organizations, particularly in the competitive Brazilian wine industry, plays a pivotal role in their performance and competitiveness. This study aimed to identify and validate metrics for assessing the innovation capacity of Brazilian wineries through a two-stage...

Background: Effective decision-making in supply chain contexts requires understanding how criteria interact to shape rational and transparent decision structures. This study investigates how behavioral aspects influence the structuring of decision-making logic and the interdependencies between...

In the present study, we model the migration process and the changes in the market environment. The migration process is being modeled as an F -inhomogeneous semi-Markov process with fuzzy states. The evolution of the migration process takes place within a stochastic market environment with...

Recent disruptions have led to a growing interest in studying the social dimension of sustainability and its relationship to resilience within supply chains. Social sustainability is characterized as complex, often offering anomalous data and confounding variables that are impossible to...

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...

Sustainable supply chain has garnered significant attention in recent years as a means of addressing various ecological and social challenges. Today, companies consistently grapple with higher levels of potential supply chain risks in their sustainable operations due to the uncertainty of the...

This paper presents an innovative approach to financial market modelling by integrating fuzzy discount factors into the decision-making process, thereby reflecting the complexities of human behaviour. Traditional financial models often fail to account for market dynamics' psychological factors....

Traditionally, business risk management models have not taken into consideration household composition for the purposes of credit granting or project financing in order to manage the risk of default. In this research, an improvement in the risk management model was obtained by introducing...

This study aims to rate the impact of the three major risks (credit, capital adequacy, and liquidity) on three financial performance measures (return on equity (ROE), earnings per share (EPS), and price-earnings ratio (PER)). This study stands out as one of the few in its field, and the only one...