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...

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...

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...

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...

The concept of circular public procurement has been developed as an approach that extends the green public procurement one, recognising the relevance of circular economy-related dimensions in green public procurement procedures, such as resource reuse and efficiency. This notwithstanding, 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...

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...

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...

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...

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....

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...

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...

CHAPTER 1 – INTRODUCTION -- CHAPTER 2 – ASSESSING THE VULNERABILITY OF INDEPENDENT COLLEGE STUDENT HOUSEHOLDS TO ENERGY POVERTY -- CHAPTER 3 – A COMPARATIVE REGIONAL STUDY OF HOUSEHOLDS: ENERGY POVERTY VULNERABILITY BEFORE AND AFTER THE RUSSIA-UKRAINE WAR -- CHAPTER 4 – CONCLUDING REMARKS.

At the present stage of development, one of the major problems of regions is ensuring their economic security. This requires the development of effective methodological approaches to assess economic security at the regional level by governing bodies, and the development of directions for...

This study investigates the contribution of Mozambique's flagship social pension programme, the Programa de Subsídio Social Básico, to building resilience against shocks. Applying a fuzzy regression discontinuity approach to bespoke survey data, we separate direct effects of programme...

The purpose of this study was to investigate the barriers and drivers of digitalization in small- and medium-sized enterprises (SMEs). Specifcally, the study aimed to identify the key factors infuencing the adoption and implementation of digital technologies in SMEs, understand the challenges...

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...

We revisit the issue of Intimate Partner Violence (IPV) during the COVID-19 pandemic asking three questions: whether IPV increased with lockdown, what pandemic-specific 'shocks' or 'stressors' had the greatest impact and how the results change when different measures of IPV are used. Leveraging...

The cryptocurrency market offers attractive but risky investment opportunities, characterized by rapid growth, extreme volatility, and uncertainty. Traditional risk management models, which rely on probabilistic assumptions and historical data, often fail to capture the market's unique dynamics...

The development of a country cannot be realized only through the amount of energy it produces and its industrialization. In a country where its people are left homeless and poor, and its cultural and natural riches are destroyed, the electricity produced is not a measure of development on its...

As countries worldwide grapple with the urgent need to mitigate climate change, adopting low-carbon energy sources has become a top global priority. This priority is particularly emphasized in the European Union (EU), with various initiatives, policies, and regulations to promote renewable...

In risk assessment, numerous subfactors influence the probabilities of the main factors. These main factors reflect adverse outcomes, which are essential in risk assessment. A Bayesian network can model the entire set of subfactors and their interconnections. To assess the probabilities of all...