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Remote work, especially working from home, has become the most common form of work in the third decade of the 21st century. What started at the beginning of the millennium as an experimental practice in some companies (mainly in the IT industry) has become widespread and unintentional in 2020 and 2021, due to Covid 19 pandemic. It changed some of the most important features of the jobs, such as the communication patterns and the conception of the workplace, leading not only to significant changes in the way work is done, but also to a different psycho-emotional perception of work in the context of changing socialization patterns. The need to transition to a virtual environment forced both companies and employees to try out different ways of working (e.g., managing virtual teams, ensuring infrastructure and access to work resources, managing teams, workspaces, etc.). The paper addresses some of the key factors that influence work performance at the organizational and individual levels. It presents how technological developments and growing awareness of alternative approaches to work organization are changing companies' perceptions of managing their most valuable resource, human potential, and discuss potential failures in telecommuting policies. The goal of this study is to provide insight on the impact of workplace flexibility on work and the broader implications for both companies and employees.

This paper, in its main section, empirically investigates and determines the characteristics and factors of credit lending and GDP and the correlation between private-sector lending and economic growth in the Republic of Croatia. The aim of this paper is derived from the main section, which is to identify and prove connections and interdependence between credit lending and economic growth in the Republic of Croatia. Therefore, this paper aims to provide a better understanding of how private sector lending affects economic growth and GDP growth. Namely, if quality loans with low-interest rates are provided to the economy, they will stimulate economic growth. In contrast, if there are no available loans, lower rates of economic growth and a decline in employment rates will occur. Based on the above, the following hypothesis of this paper was established as the starting point of the research, which reads: "There is a close positive relationship between private-sector lending and GDP growth rate." The methodology used in the paper consists of the basic methods of descriptive and inferential statistics, which have been applied to prove or disprove correlations between individual variables. The relevant statistical programs IBM SPSS Statistics 22 and MS Excel were used for analysis and presentation. It is therefore concluded that despite the existence of a tight positive link between private sector loans growth and GDP growth, there is a lack of linearity between them, which precludes any possibility of above confidence forecast of 79.3%, which is not sufficient for further research.