Our study aims to identify the impact that both economic growth and human development have on the logistic performance of the EU member states. When discussing the economic development of a country, the human and economic growth components tend to be separated. This research aims to fill this gap by integrating both perspectives into the comprehensive variable of economic development. Utilising a linear regression model, the study uses economic development as a composed independent variable, containing both the human development index and the GDP per capita (as the main indicator for economic growth), while the logistics performance index (LPI) is considered the dependent variable. Based on the results, both independent variables of the model explain up to 54% from the variation of the LPI in the EU member states. Furthermore, the results of the research indicate that the strongest correlation is identified between the human development index and logistics performance index (0.73). The study explores how economic growth and advancements in human development metrics enhance the efficiency and effectiveness of national logistics systems. Findings suggest that increased economic development is closely linked to improved logistics infrastructure, enhanced trade facilitation, and greater supply chain dependability. Furthermore, human development – assessed via education, health, and social welfare – arises as a crucial factor influencing logistics performance, underscoring the importance of human capital in facilitating sustainable transportation and trade systems. The results highlight the significance of combining economic and social development strategies with logistics policies to improve competitiveness and connectivity in the EU.
Currently, organizations are being called upon to adapt to numerous crises, which hinder their development and even their survival. Among these crises there are significant upheavals in the job market. In this context of uncertainty, companies are trying to find tools to better retain and build employee loyalty. One of these tools would be the understanding of corporate social responsibility (CSR) and its links with employees' perception of identification with the organization. Despite the existence of some studies on CSR and human resources management (HRM), several facets of the subject remain to be explored. Based on a cross-sectional qualitative research using a comparative case study of two organizations in Eastern Canada, we wanted to study potential links between the fields of CSR and HRM. The first objective was to create an integrative model based on a literature review of the founding texts of CSR and to test it with managers and employees. Next, we aimed to study employees' perceptions of their social identification and the links they perceived between CSR and their social identification. Finally, we made comparisons between the two organizations in relation to the subjects under study. Our research results demonstrated the relevance of the CSR management model we designed. We also observed a strong general connection between employees and their organization. Although further research will be necessary to validate this result, our research demonstrates the existence of a link between participants' perception of social identification and social responsibility management models. Thus, according to employees, sharing the same values as their organization could increase the identification link. However, it was the model as a whole that was appreciated by employees and not specific social responsibility measures. In short, one of the important and novel contributions of this study is the analysis of the connection between two different fields, namely the field of strategic management and that of organizational behavior while also achieving significant results.
Climate change represents one of the most pressing existential threats of our time, requiring coordinated, cross-domain responses that integrate technological, financial, and policy-oriented knowledge. This paper investigates the behavior of selected clean energy stock indices before, during, and after the COVID-19 crisis and applies advanced machine learning methodologies, specifically Recurrent Neural Networks (RNNs) and Gated Recurrent Units (GRUs), to predict clean energy stock prices. The results provide new insights into the nonlinear dynamics of financial markets linked to the clean energy sector and show that both LSTM and GRU models outperform VAR in stock price forecasting, delivering superior accuracy. This research highlights the effectiveness of integrating traditional statistical models with deep learning techniques to improve forecasting performance. It promotes a deeper understanding of the behavior of this crucial industry, providing a bridge between finance, technology, and sustainability topics, necessary to achieving a resilient and equitable low-carbon economy.
This paper examines the relationship between sectoral foreign direct investment, institutional quality, and environmental sustainability in Central and Eastern European countries. The analysis is based on a balanced panel dataset covering Bulgaria, the Czech Republic, Croatia, Poland, Romania, Slovakia, and Slovenia over the period 2010-2023. Environmental sustainability is measured using two indicators: ecological footprint and CO2 emissions. The study considers both total FDI and sectoral FDI in mining and quarrying, manufacturing, electricity and gas, construction, and services. Institutional quality is captured through a composite index constructed from control of corruption, government effectiveness, political stability, regulatory quality, rule of law, and voice and accountability. Using fixed-effects panel models with country and year effects, the paper investigates whether institutional quality moderates the environmental impact of FDI. The results suggest that the relationship between FDI and environmental sustainability differs across environmental indicators and sectors. Total FDI is negatively associated with CO2 emissions in the baseline model, while its relationship with ecological footprint is not statistically significant. The moderation results indicate that institutional quality plays a sector-specific role, particularly in the CO2 models, where stronger institutions reduce the environmental impact of total FDI, manufacturing FDI, and services FDI. These findings highlight the importance of considering both the sectoral composition of FDI and institutional conditions when assessing the environmental implications of foreign investment in CEE economies.
Urban destinations increasingly deploy events as strategic instruments to amplify competitiveness, stimulate visitation and sustain demand beyond peak seasons. However, their effective contribution to destination management, particularly in the post-pandemic urban tourism landscape, remains insufficiently evidenced. This study examines Lisbon through a mixed-methods design that combines a structured intercept survey of 388 non-resident visitors with a focus group involving nine directors of four- and five-star hotels in the metropolitan area. Quantitatively, events emerge as a relevant but segmented pull factor: their importance is concentrated among short-stay visitors, younger and highly educated travellers, and full-time professionals, who also register the highest satisfaction with event experiences. Satisfaction with events is generally favourable and is closely associated with their experiential, symbolic and emotional value. Qualitatively, hotel directors describe large concerts, congresses and public programmes as decisive triggers of demand, generators of extended stays and catalysts of repeat visitation, while noting that these effects are systematically under-captured by hotel booking and reporting systems. The discussion further reveals structural coordination gaps, including limited communication between event organisers, municipalities and accommodation providers, the absence of an integrated events calendar, and the lack of shared data on event-motivated travel. The study argues that events in Lisbon operate not only as temporal attractors but as experiential enhancers of destination image, memorability and competitiveness. Yet, their strategic potential remains only partially realised due to governance and information constraints that limit integrated planning and evidence-based management.
