In this paper the impact and predictive effects of knowledge management on financial performance are analysed. The research also includes an analysis of the moderating effects of two moderators (National Origin and Enterprise Size) and their relationship. The data was gathered by interviewing 520 managers from manufacturing companies operating in Serbia. The most important conclusions of the research are: 1. High levels of knowledge management positively influence business performance, quality and competitiveness. 2. Financial performance is mainly influenced by the dimensions connected to the effects of knowledge management regarding its implementation and protection and the acquisition of competitive advantages. 3. Knowledge management strongly influences the market aspects of business, but also the increase of fixed assets. 4. Knowledge management has a slightly greater impact on financial performance in foreign enterprises (operating in Serbia) compared to domestic (Serbian) enterprises. The situation is similar when comparing medium and large enterprises (a higher impact) with small enterprises (a smaller impact). 5. The greatest effects are achieved when an effective organizational structure is in place, when the organization protects its knowledge, when it manages to materialize the knowledge gathered in the form of the efficient application of knowledge. Keyword : knowledge management, intellectual capital, financial performance, national origin of the enterprise, enterprises size, Serbia

Globalization, Industry 4.0, and the dynamics of the modern business environment caused by the pandemic have created immense challenges for enterprises across industries. Achieving and maintaining competitiveness requires enterprises to adapt to the new business paradigm that characterizes the framework of the global economy. In this paper, the applications of various statistical methods in data mining are presented. The sample included data from 214 enterprises. The structured survey used for the collection of data included questions regarding ICT implementation intentions within enterprises. The main goal was to present the application of statistical methods that are used in data mining, ranging from simple/basic methods to algorithms that are more complex. First, linear regression, binary logistic regression, a multicollinearity test, and a heteroscedasticity test were conducted. Next, a classifier decision tree/QUEST (Quick, Unbiased, Efficient, Statistical Tree) algorithm and a support vector machine (SVM) were presented. Finally, to provide a contrast to these classification methods, a feed-forward neural network was trained on the same dataset. The obtained results are interesting, as they demonstrate how algorithms used for data mining can provide important insight into existing relationships that are present in large datasets. These findings are significant, and they expand the current body of literature.

The study presents the results of the impact of organizational culture on public relations in business organizations. The data were obtained from a survey of 415 respondents from 93 companies in Serbia. The following statistical methods were used: descriptive statistics, correlation analysis, regression analysis and hierarchical regression analysis. Some of the most important conclusions of the research follow: In most cases, the organizational culture dimensions have a statistically significant and positive influence on the communication models of public relations (CMPR) dimensions and the organization – public relations (OPR) dimensions; A favorable organizational culture (represented through the favorable values of the organizational culture dimensions) has a positive impact on two-way models of communication, especially the symmetrical model, as well as on most of the OPR dimensions. On the other hand, an unfavorable organizational culture encourages one-way communication and the organization’s orientation solely for its own benefit; The Power Distance dimension acts in contrast to the other dimensions of organizational culture: high power distance impedes two-way communication and promotes the utility of the company, all of which causes public distrust and dissatisfaction.

Enterprise Potential, Entrepreneurial Intentions and Envy