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This paper aims to research the organizational factors influencing the implementation of energy efficiency measures in companies. The analysis was performed on a sample of companies from Serbia included in the World Bank Enterprise Survey. The raw data collected by the World Bank were utilized to analyze the correlation between various organizational factors and the adoption of energy efficiency measures. The analysis revealed a statistically significant correlation between management maturity and the implementation of energy efficiency measures in companies. These findings suggest that improving energy efficiency is not an isolated process but rather closely related to the maturity of management practices, highlighting the importance of comprehensive organizational development for achieving optimal energy management.

Real estate market analysis can involve many aspects. One of them is the study of the influence of various factors on prices and property values. For this type of issues, different kinds of measures and statistical models are often used. Many of them do not give unambiguous results. One of the reasons for this is the fact that the real estate market is characterized by the concept of local markets, which may be affected in different ways by economic, social, technical, environmental and other factors. Incorporating the influence of local markets, otherwise known as submarkets, into models often helps improve the precision of mass real estate valuation results. The delineation of submarket boundaries can be done in several different ways. One tool that is helpful in these types of situations are geographically weighted regression (GWR) models. The problem that may arise when using such models is related to the nature of some market factors, which may be of a qualitative nature. Because neighborhoods of individual properties may lack variability in terms of some variables, estimating GWR models is significantly difficult or impossible.

Aim/purpose – Multiple factors affect a passenger’s origin and destination airport choice. This study explores some of the leading indicators associated with performance in cities with more than one airport. Two important Multi-Airport Systems (MAS) in Brazil were the object of this study: São Paulo (Congonhas and Guarulhos) and Rio de Janeiro (Santos Dumont and Galeão), the most significant demand-generating centers in the country and the most critical distribution centers of flights from South America.

The effect of proximity to a transit system on property values has become a key issue of debate regarding public infrastructure and economic development. This article aims to examine the impact of selected stations along the Blue line of Delhi Mass Rapid Transit System (MRTS) on commercial property prices. The research analyzed 1,413 commercial property parcels sold before and after the commissioning of Blue line in 2005. Hedonic Price Analysis (HPA) was used to estimate the effects of proximity to the metro rail on commercial property values. The method was applied to two time periods, i.e., from 2000-2004 and 2005-2008, coinciding with planning and construction (pre-commissioning phase and the operation phase (post-commissioning phase) of metro rail using actual sale prices of commercial units. The results indicate that a station node shows a negative trend during the planning and construction period. However, the operation period has produced a significant price premium associated with commercial properties, connected with improved accessibility. The coefficients indicate that MRTS has induced an increase in prices from INR 732.80 to INR 246.19, and its radius of impact covers an area of approximately 1/2 km from the stations. The methodology and results provide insight with a specific focus on commercial real estate values in other metropolitan cities developing and expanding MRTSs.

This paper analyses correlations between several organizational characteristics and product/process innovations in enterprises in Serbia. We used the World Bank Enterprise Survey data on 339 small, medium, and large companies from various industries. Many of the factors analysed in this study are consistent with theoretical conclusions in the literature on this topic and relate to organizational maturity. Also, factors such as the size of the company and the industry to which it belongs were analysed. For correlations testing, the Chi-square correlation coefficient and the Cramer’s V test were used. The analysis revealed correlations between innovativeness and many organizational characteristics. However, in some cases, contrary to theoretical claims, correlations were not confirmed. We found that the introduction of new products and/or processes in the company is influenced by business strategy, production targets, number of performance indicators monitored, establishment of quality management system, formal training programs for company’s full-time employees, ease of achieving the company’s production targets, level of awareness of management and employees about the company’s production targets, spending on research and development activities within the company, and acquisition of external knowledge, way of promoting non-managers in a company, time frame of the company’s production targets, company’s size and main market.

Research background: Lesser Poland is one of the most visited regions in Poland. Among the reasons why it is so, there are a variety of attractions located in this voivodeship and also the activities taken by local government, for which the development of the tourism industry is one of the key goals.

This paper discusses the causal relationships among posted content types, the number of reached individuals and follower counts of a Facebook brand page by investigating the communication forms of a Hungarian Twitch.tv live streamer. The Kolmogorov-Smirnov test for the analyses’ distributional properties is followed by the Kruskal-Wallis H test, which determines significant differences in content types in terms of their total reach, reaction, comment and share counts. The Kendall’s tau-b tests are performed for the examination of interrelationships among the retrieved Facebook metrics. Furthermore, mediation analysis is conducted, wherein the antecedent role is taken by post type, the follower count appears as a consequent variable and the total reach count takes the mediator role in the proposed model. The results of the analysis conclude that the analysed Facebook metrics display statistically significant, strong and positive correlations with one another; additionally, post type has a strong, significant and direct influence on reached individuals and although they do not show a significant, direct influence on follower count, they display a significant, total effect on it. The paper thereby contributes to the existing online brand personality and gaming research, offering value to the research domain of online marketing and communication as well.

The complexity of multi-component real properties results from the possibility of identifying various components in legal, physical or functional terms. The possibility of distinguishing various functional elements of real properties, combined with the specificity resulting from their market properties, is problematic when applying the comparative approach to real estate valuation. In this case, the valuation procedure can be implemented using statistical models: the parametric model or the conditional one.

Real estate valuation is carried out correctly if it takes into account all the conditions occurring on a given market at the time of its performance. One of the important determinants of correct valuation is the proper determination of the land use class of the property being valued. It is equally important to find similar properties with the same land use classes as the property subjected to valuation. This does not pose a problem when a property is located within an area with one specific land use zone. If, however, its land use zoning is not homogeneous, finding similar properties may be difficult.

The financial crises are closely connected with spread changes and liquidity issues. After defining and addressing spread considerations, we research in this paper the topic of liquidity issues in times of economic crisis. We analyse the liquidity effects as recorded on spreads of securities from different markets. We stipulate that higher international risk aversion in times of financial crises coincides with widening security spreads. The paper then introduces liquidity as a risk factor into the standard value-at-risk framework, using GARCH methodology. The comparison of results of these models suggests that the size of the tested markets does not have a strong effect on the models. Thus, we find that spread analysis is an appropriate tool for analysing liquidity issues during a financial crisis.