The purpose of this paper is to investigate the relationship between ages and gender of employees in organisations in Serbia and their job satisfaction. When it comes to age-job satisfaction relationship the assumption is that this relationship could be represented by the “U” curve. When it comes to gender-job satisfaction relationship the authors investigate whether there is a difference in the overall job satisfaction between men and women as well as whether there is a statistically significant influence of different job facets on job satisfaction of men and women in different ages in organisations in Serbia. For testing these assumptions descriptive statistics and multivariate analysis of variance were applied. The research methodology also included theoretical analysis of the concept of job satisfaction. Results of the study have shown that the level of job satisfaction of employees of different age cannot be represented by the “U” curve. Further, the results have shown that there is a small difference in the overall job satisfaction between men and women as well as that there are some dimensions of job that have statistically significant influence on job satisfaction of men and women in different ages. The practical implication of this paper is that it, based on the obtained results, suggests to the managers certain human resource management (HRM) practices in order to gain more satisfied and, hence, more productive employees.
Low labour costs as one of the key sources of export stimulation, the competitive advantage of domestic agricultural production and bilateral agreements with partner countries - all promote export as a potentially significant factor of encouragement of economic development of the Republic of Serbia.Taking into account this fact, on the one hand, and balance of payments problems that Serbia has been facing over the years, on the other hand, the subject of this paper is an analysis of trends in the Republic of Serbia export and explanation of variations in the export trends during the period from 2004 to 2014. The aim of the paper is to explore export trends forecast from January to December 2015.The analysis uses Holt-Winters and ARIMA methods for analyszing time series.The paper provides insight into the export trend forecasts for the period of 12 months, and thus confirms the possibility of practical usage of the time series analysis methods in forecasting macroeconomic variables such as export. The used methods identify increase of export during the summer and its decrease after October 2015. The paper establishes the existence of a high degree of congruence between forecasts obtained by using two methods, which confirm a high quality of the elaborated methods in the analysis of exports.