This article examines the relationship between macroeconomic variables and the share of renewable energy in Eurozone countries from 2006 to 2020. Using the Fully Modified Ordinary Least Squares (FMOLS) method, we analyze the impact of Gross Domestic Product (GDP) per capita, unemployment rate, Financial Development Index (FDI), inflation, government efficiency, and corruption control on the proportion of renewable energy. Focused on the Eurozone, our study fills a gap in existing research. We compile diverse findings from the literature review on this topic. Our analysis reveals that higher GDP per capita positively influences the proportion of renewable energy, while unemployment, lower financial development, higher inflation, inefficient governance, and corruption negatively impact renewable energy adoption. These findings underscore the importance of addressing economic development alongside sustainable energy initiatives. Policymakers should prioritize improving GDP per capita, and addressing barriers such as unemployment and corruption to facilitate the transition to a more sustainable energy landscape in the Eurozone.

This article examines the impact of the macroenvironment on enterprises in euro-area countries over the period 2006–2020. Our study builds on important works and theories in the field of business, including the work of Kar and Özsahin. We employ the Panel Least Squares method to estimate the coefficient of selected variables. We identify political, institutional (government effectiveness index, regulatory quality index, rule of law, market capitalization of company, control of corruption, political stability and absence of violence) and financial (financial development index, gross domestic product, inflation rate, unemployment rate, public debt) determinants that can have an effect on entrepreneurship. The article aims to fill a gap in the existing literature by providing new insights from the Eurozone and updated data that were not included in previous literature reviews and studies. In this way, we contribute to expanding knowledge about the relationship between macroeconomic factors and entrepreneurial activities in this specific geographical area, considering the lack of current analyses. According to our results, there is a positive statistically significant relationship between entrepreneurship and gross domestic product per capita, regulatory quality index, and market capitalization of the company and a negative statistically significant relationship between entrepreneurship and rule of law, and public debt.

This article presents a comprehensive analysis of the development and impact of Business Intelligence (BI) between 2018 and 2022. It focuses on examining research articles published in five reputable journals specified in the field of Business...

Purpose: This paper investigates the adoption of product eco-innovations among Slovak manufacturing firms in the context of circular economy (CE) transition and assesses their relationship with industry sectors and company size. Methodology/Approach: A quantitative survey of 101 Slovak manufacturing firms was analysed using chi-square tests, Cramér’s V, and Spearman correlations to explore links between eco-innovation adoption and firm characteristics. Findings: Firm size significantly relates to general product eco-innovation, but not to five of six specific eco-innovations (health impact, energy use, lifespan, pollution, recycling). Only easier maintenance or upgrading shows this link. No significant link exists between industry sectors and product eco-innovation, although sectoral differences are evident in specific eco-innovations. Specific eco-innovations, such as those that reduce pollution and increase product longevity, often co-occur. Research Limitation/Implication: The main limitation lies in the national scope and single-method approach. Originality/Value of paper: This paper adds to the limited empirical research on product eco-innovation in Central Europe by offering novel insights into sectoral and size-based patterns aligned with CE goals. Purpose: This paper investigates the adoption of product eco-innovations among Slovak manufacturing firms in the context of circular economy (CE) transition and assesses their relationship with industry sectors and company size. Methodology/Approach: A quantitative survey of 101 Slovak manufacturing firms was analysed using chi-square tests, Cramér’s V, and Spearman correlations to explore links between eco-innovation adoption and firm characteristics. Findings: Firm size significantly relates to general product eco-innovation, but not to five of six specific eco-innovations (health impact, energy use, lifespan, pollution, recycling). Only easier maintenance or upgrading shows this link. No significant link exists between industry sectors and product eco-innovation, although sectoral differences are evident in specific eco-innovations. Specific eco-innovations, such as those that reduce pollution and increase product longevity, often co-occur. Research Limitation/Implication: The main limitation lies in the national scope and single-method approach. Originality/Value of paper: This paper adds to the limited empirical research on product eco-innovation in Central Europe by offering novel insights into sectoral and size-based patterns aligned with CE goals.

Understanding the determinants of electricity consumption is essential for designing effective economic and energy policies in advanced economies. This study examines the macroeconomic, institutional, and environmental factors influencing electricity consumption in 19 Euro Area countries during 2006–2024. Using a balanced panel dataset and a fixed-effects regression model, the analysis examines the associations between electricity consumption and GDP per capita, manufacturing value added, regulatory quality, electricity prices, renewable energy share, and heating degree days. The results indicate that GDP per capita, manufacturing value added, and regulatory quality are positively associated with electricity consumption, suggesting that higher levels of economic development, industrial activity, and institutional quality are associated with higher electricity demand. In contrast, electricity prices and renewable energy are negatively associated with electricity consumption, highlighting the importance of market incentives and structural changes related to the energy transition. Heating degree days exhibited the strongest estimated association with electricity consumption, highlighting the importance of climatic conditions across the Euro Area. The study contributes to the energy economics literature by providing an integrated assessment of economic, institutional, and environmental drivers of electricity consumption within a highly integrated economic region. The findings offer relevant implications for policymakers seeking to balance economic growth, energy transition objectives, and long-term electricity demand management.

Manufacturing enterprises operate in increasingly complex and data-intensive environments, where transforming operational and economic data into actionable managerial knowledge is essential for improving managerial decision-making, maintaining competitiveness, and achieving sustainable organizational performance. Despite substantial investments in enterprise information systems and digital technologies, organizations continue to face challenges related to fragmented data, disconnected information systems, and limited analytical integration. Existing research has primarily focused on the implementation of individual digital technologies, while less attention has been devoted to their integration within economic process management. The aim of this study is to propose an integrated approach to the transformation of economic process management for sustainable data-driven decision-making in manufacturing enterprises. The research is based on a qualitative case study employing process analysis, enterprise information system analysis, gap analysis, and enterprise architecture design to examine the current state of economic process management, identify key limitations, and develop a target decision-support environment. The resulting transformation framework establishes a structured transition from fragmented economic process management toward an integrated decision-support environment by combining process analysis, enterprise information system integration, centralized data management, Business Intelligence, and performance measurement. Within the scope of this study, sustainability is understood primarily as the long-term organizational and economic sustainability of data-driven decision-making processes, supported by integrated data management, standardized performance measurement, and reduced dependence on fragmented manual data processing; environmental and social sustainability outcomes were not directly measured. The industrial case study provides empirical grounding for the proposed approach, while expert-based evaluation assesses the logical consistency, organizational applicability, and perceived potential of the IEPTF to support the transformation of economic process management toward sustainable data-driven decision-making. Unlike approaches that address enterprise architecture, Business Intelligence, or digital transformation as separate domains, the proposed IEPTF integrates organizational process assessment, information-system analysis, enterprise architecture design, centralized data management, analytical capabilities, and managerial decision support into a unified transformation methodology specifically focused on economic process management.