The main goal of this study was to examine the effects of capital investments on firm performance, using panel-data analysis. For this purpose, financial data were gathered for 60 manufacturing firms based in Serbia, in the period from 2004 to 2016. The main research hypotheses were developed in accordance with the definition, nature, and time aspect of capital investments. Therefore, empirical expectation of this study was that the relationship between capital investments and firm performance should be positive—they probably bring losses to the firm in the short term, but they should increase firm performance in the long term. Finally, the results have indeed shown that capital investments have statistically significant negative effect on the short-term performance, but positive effect on the long-term performance of the analyzed firms, while controlling for time-fixed effects and certain internal factors.

The aspiration of this study was to examine the impact of foreign direct investments (FDI) and economic growth on environmental degradation in the Balkans for the period 1998–2019. Balkan countries were classified into two groups, high income countries (HIC) and upper-middle income countries (UMIC). Thus, two hypotheses have been set. The effect of FDI on environmental degradation was observed through pollution haven hypothesis (PHH). To examine that connection, we used Pearson correlation for all countries, HIC and UMIC. Furthermore, the impact of economic growth on environmental degradation was tested through the environmental Kuznets curve (EKC) hypothesis. For that purpose, polynomial linear regression was applied. In order to examine the dependence of environmental degradation in relation to all predictors in the model, a multivariate linear regression was used. PHH was confirmed in Serbia, Albania, Croatia, Romania, and Bulgaria, the Balkans as a whole, and HIC, and the EKC hypothesis was rejected. This paper represents a contribution to a very scarce number of studies regarding the impact of FDI and economic growth on the environment in the Balkans, as a whole. The results of this study can be useful to policy makers in the terms of inducting stricter environmental rules.

Our paper analyzes close collaboration between a manufacturer of domestic appliances and consumer electronics and its customers. It reflects on the inclusion of open innovation by users that is presented in the paper on the case of the development of the refrigerator door handle, with an emphasis on design and functionality. The main research question we wanted to answer was whether a buyer (customer/consumer) might actively participate in the process of a new product development. It was interesting to test it in a highly dynamic industry setup since white goods are becoming an integral part of consumers’ life style and not just a mere home appliances used for routine housekeeping tasks. Research sample includes 146 respondents. We applied the conjoint analysis and quality function deployment (QFD) in order to test and understand how customers perceive the different attributes of a new product development process.

Due to the combination of vast technology trends brought by Industry 4.0, present-day consumers need and stiff global competition and require businesses from across many industries to constantly innovate. Clients request multifaceted support from manufacturers and service providers while the transition towards new symbiotic ecosystems disrupts traditionally established processes in some sectors. This is largely happening in the global automotive industry where in-car and around-the-car services with asset-sharing concepts are taking a dominant role rather than plain vehicles sales and car ownership. In our paper, we investigate the possibilities of new and improved business collaborations between a car retailer operating in several European countries and its SME (small and medium-sized enterprises) customers across various sectors currently owning car fleets of at least five vehicles. We test several hypotheses and conduct a systematic statistical analysis of the proposed business model’s aspects on the sample of almost 200 SMEs from five countries in Southeast Europe. By using the χ² test and a one-tailed t-test we tested both frequency data and the continuous variables. Research indicates that SMEs look for new ways to organize their fleet management strategy more efficiently and thus more precisely plan associated costs. Regardless of the country of origin, SMEs want to explore a business model with more introduced to their fleet management and are ready to accept new technologies for fleet management operations.

Power exchanges in Europe have been operating since the 1990s, while in the region of Southeast Europe (SEE) they are only a few years old. Volatility is considered to be one of the indicators that define the level of market development. In this paper, the authors examine 15 power markets in Europe with the novelty of special attention dedicated to the SEE markets, in terms of their volatility. The aim of this paper is to investigate volatility on SEE markets, and their correlation with developed European markets. Power price volatility is measured by price velocity concepts, the daily velocity based on daily/monthly/quarterly/yearly and overall average power prices. The outcomes reveal that power price volatility is higher in new SEE markets than in more mature European markets. The least volatile market is the Greek pool, followed by Switzerland and Austria. The Bulgarian market is the most volatile, followed by that of Romania, and these markets are nearly twice as volatile as the ones previously mentioned. A correlation matrix is carried out and confirms positive correlation between all markets in terms of their average prices. However, a correlation matrix of measured volatilities depicts a negative correlation, in some cases, between SEE and Central European (CE) markets.

Efforts to improve agricultural sustainability have increasingly focused on enhancing productivity while minimizing environmental impact. In the Republic of Serbia, dairy farming remains a critical sector due to its dual role in food production and environmental pressure. This study aims to evaluate the technical and eco-efficiency of dairy farms in the Republic of Serbia using FADN data and the Stochastic Frontier Analysis (SFA) method. Specifically, the SFA methodology was applied, which enables a separate assessment of time-invariant and time-variant efficiency, with the aim of clearly identifying the factors that shape milk production in the Republic of Serbia. It was found that the technical efficiency for the 2015–2023 period was at a level of 58.7%, while the eco-efficiency was estimated to be 13.1%. Observing the relationship between the estimated technical and eco-efficiency, it can be concluded that they share similar mechanisms for improvement. In both cases, time-invariant inefficiency dominated, indicating that factors under the control of farms, such as the characteristics of agricultural producers and farms, play a key role in shaping production efficiency. In this context, adopting circular economy principles, such as nutrient recycling, the use of renewable energy, and optimized input utilization, offers an additional opportunity to enhance both economic and environmental performance.