With the development of agricultural production, the demand for electricity correspondingly increases. To sustainably meet this demand, renewable energy sources (RESs) can be utilized. This paper explores the application of RES alternatives in agriculture to provide guidelines for enhancing...

In this paper, we seek to ascertain whether the recently developed ordered fuzzy number (OFN) representation of a limit order book (LOB) by Marszałek and Burczyński (2024) may serve as a measure of stock liquidity. In particular, we aim to test whether this measure contains similar or distinct...

The pursuit of disabled students' inclusion in higher education remains a significant global concern, particularly in developing nations where systemic and institutional barriers persist. Despite progressive legislative and policy frameworks promoting inclusive education, Kenyan and Pakistani...

This paper investigates tail-risk transmission and asymmetric dependence in commodity markets using an asymmetric fuzzy vine copula framework applied to gold, crude oil, natural gas, and silver from 1 January 2015 to 1 January 2025, extracted from Yahoo Finance. Bootstrap-based trapezoidal fuzzy...

Fostering rural e-commerce entrepreneurial vibrancy is crucial for achieving regional economic transformation and sustainable development. However, existing research has predominantly examined the net effects of individual factors, overlooking the diverse pathways and complex causal mechanisms...

Ports are the major gateways of cities. Background: Sustainable growth requires ports to prioritize efficiency while balancing economic, social, and environmental goals. There is limited synthesized evidence on the sustainability evaluation of ports, including those of North America. In this...

Background: Cold chain distribution in Agri-Biotech supply chains faces serious challenges due to strict time windows, high temperature sensitivity, and conflict between different operational objectives, and conventional static approaches are unable to address these complexities. Methods: In...

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...

As tertiary education expands, employers increasingly rely on academic distinctions to screen among similarly qualified graduates. We study the labor-market effects of honors using administrative and survey data on Sorbonne master's graduates. We exploit France's fixed GPA thresholds for honors...

Fuzzy marketing considers the degree to which a customer belongs to specific segments and subsequently allows them to be targeted with messages that engage them emotionally. To better understand the application and importance of fuzzy logic in marketing strategy, we developed a systematic...

Background: Distribution is a very important part of logistics and an activity that is present in every area today. One of the basic problems in distribution is how to correctly determine its price. For this reason, this paper presents a model created to determine the price of the product...

The corporate environment is always characterized by a high degree of volatility, uncertainty, complexity and ambiguity. These aspects influence Human Resource Management (HRM) just like other areas of the company. In the context of decision problems, especially in HRM, it is not always possible...

Economic activity always involves the allocation of scarce goods to competing uses. Among these scarce goods is also the personnel of the enterprise. Personnel economics therefore also has to make such allocation decisions with respect to the availability of personnel and with respect to the...

It is virtually a truism that companies should respond to situations of high complexity, dynamics and contingency with strategic management measures. Not least in turbulent VUCA-type environments, the company is well advised to use alternative scenarios for environmental forecasting. The...

This study aims to determine the most important component of economic freedom and to rank the performance of countries using multiple criteria decision-making tools within the context of fuzzy set theory. To do so, we utilize a combination of fuzzy entropy weighting and fuzzy technique for order...

We estimate the difference in direct healthcare costs of individuals diagnosed with diabetes depending on their glucose level, considering different timespans and subgroups. Using data from administrative registers of 285,450 individuals in Catalonia from 2013 to 2017, we used a fuzzy regression...

Poverty is one of the most important global socio-economic problems. Despite a strong interest in this phenomenon, there is no unified concept for measuring it. It is difficult to quantify due to the diversity of the dimensions of perceived poverty, particularly subjective ones. Thus, the aim of...

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: 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...

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...

Efficient supply chain models are crucial for ensuring swift medical intervention and the timely delivery of essential supplies in disaster management. This study focuses on optimizing disaster relief efforts in meteorological disasters, specifically flash floods triggered by cloudburst events....

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...

This study integrates the House of Risk (HOR) approach with the Fuzzy Inference System (FIS) to manage supply chain risks in steel fabrication by addressing market uncertainties and operational challenges to enhance stability and productivity. The study begins with risk identification using HOR...

This study presents an advanced Economic Order Quantity inventory model that integrates intuitionistic fuzzy sets and fuzzy learning to enhance decision-making under environmental uncertainty. The model systematically incorporates green technology adoption and accounts for the uncertain impact...

The carbon footprint is highly uncertain and directly impacts demand forecasting, with uncertainty arising from both positive and negative perspectives. This duality highlights the contrasting viewpoints of decision-makers during the decision-making process. This study employs generalized...

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: 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...

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...