This study investigates the impact of Foreign Direct Investments (FDIs) on wage dynamics in Slovakia and Slovenia, with a particular emphasis on gender-specific effects in post-Communist emerging markets. By analyzing wage outcomes for male and female workers separately, the research reveals potential disparities in FDIs-driven wage growth. Employing econometric techniques and longitudinal data, the study explores the nuanced relationship between FDIs, wage policies, and economic development over time. A temporal lag in FDIs analysis suggests that Slovakia and Slovenia have experienced differing impacts from past foreign capital flows. In Slovakia, significant correlations indicate persistent FDIs influence and a pronounced effect on gender wage disparities. In Slovenia, more moderate correlations and FDIs volatility suggest a less stable relationship between external investment and wage dynamics. The originality of this research lies in its comparative approach, examining two distinct post-Communist nations and identifying unique country-specific patterns and trends. This study contributes to a deeper understanding of FDI’s role in labor market management and its implications for gender equality in two European emerging economies.

Inland Container Depots (ICDs) are inland multi-modal terminals where goods in intermodal loading units can be transferred directly to seaports. The contribution of ICDs to regions’ economic and social growth is undeniable. To achieve the sustainable development of ICDs, evaluating and improving their service quality is critical. This study aims to investigate the factors contributing to the service quality of ICD in a developing country. The data utilized covers some ICDs in the Red River Delta, Vietnam. Regarding analytic methods, descriptive statistics first were run to show the level of aspects of service quality of ICDs. Subsequently, attitudinal statements were analyzed using exploratory factor analysis before linear regression was applied to recognize the factors influencing the service quality of ICDs. Generally, the service quality of ICDs was evaluated at an acceptable level but far from the high one. The results suggested that the four influential service quality factors included location and accessibility, facilities, process and management, and labor. Based on the findings of contributing factors, managerial implications were proposed.

South Africa, like many emerging economies, grapples with the challenges of rapid urbanisation, unequal access to resources, and historical spatial inequalities. Addressing these issues requires a multifaceted approach that reimagines urban real estate development as a catalyst for positive social change. This paper explores the imperative of inclusive urban real estate development in South Africa and presents innovative strategies to promote equity, accessibility, and sustainability in urban environments. Following a quantitative inquiry technique, primary data was gathered from 109 built environment professionals with experience in sustainable urban development. To support this, descriptive and inferential statistics, particularly exploratory factor analysis (EFA), were used. According to the descriptive analysis using the mean score (MS) ranking technique, the development of affordable housing was one of the higher up-front innovative strategies for reshaping real estate development. Ensuring objectivity in city planning, re-engineering the city streets and buildings to create a safer environment were among the highly ranked strategies. The EFA further demonstrated that “urban redevelopment”, “government regulations”, “spatial planning”, “urban policy” and “diversification” were the underlying groups of new approaches for inclusive development. Implementing these innovative strategies, South Africa can move towards a more inclusive and equitable urban landscape, where urban real estate development becomes a force for positive social change, fostering sustainable economic growth and improving the quality of life for all citizens. This research contributes to the ongoing dialogue on urban development in South Africa and offers actionable insights for policymakers, developers, and community stakeholders invested in shaping more inclusive cities.

Over the past twenty years, service organizations have adopted total quality management to enhance their service quality, significantly impacting business performance, customer satisfaction, and profitability. This study delves into policy development of sustainable quality management theory, benefits, and various service components, while reviewing its implementation in services industries and policy innovation. The concept of Sustainable Quality Management 4.0 (SQM 4.0) integrates sustainable management, traditional quality management, and Quality 4.0 principles to optimize resources, reduce environmental impacts, and enhance decision-making through Industry 4.0, IoT, AI, and big data analytics. The findings offer valuable framework and policy insights for managers and practitioners on quality management and service systems, providing an implementation framework for Sustainable Quality Management in the service sector. The paper outlines comprehensive elements and strategies for implementation as a SQM framework for attaining sustainable quality management in the services industry.

The application of quality management methods and tools is an important prerequisite for the success and performance increase of manufacturing enterprises. The paper deals with the application of methods and tools of quality management (MTQM) in manufacturing enterprises. The paper aims to analyze whether there is a relationship between the application of MTQM and the size of enterprises, the use of MTQM, and the performance of enterprises measured through the achieved profit. It also analyzes the impact of MTQM on the agility of manufacturing enterprises measured through the decrease in sales expressed in revenues during the pandemic period. The paper presents the results of the research which was conducted between 2020–2022. Several statistical tools such as the Chi-square goodness-of-fit test, Pearson’s chi-square test, and contingency analysis were used to evaluate the different analyses as well as the representativeness of the sample. Based on the results, it can be concluded that there are differences in the use of MTQM and the size of the enterprise as well as the performance of the enterprises. At the same time, the hypothesis that enterprises using a wider range of quality management methods and tools have a higher potential to adapt to unexpected market changes was also confirmed.