摘要：AbstractICT sector has been the driving force of Romania's post-transition economy during the last decade. The aim of this paper is to deduce the differentiating factors emanating from companies’ competitive strategies, in order to distinguish between successfully performing and not so successful or failing companies. We studied an unbalanced panel data-set of 68000 records of Romania's ICT industry. In order to run the performance assessment, we elected to use an innovative approach; utilising a combination of econometrics techniques. Firstly, we reduced the data array by applying the Principal Component Analysis method. The resulting factors deduced from the Principal Component Analysis were then introduced as explanatory variables into a binary logistic regression model, and consequently, multinomial logistic regression models, aiming to identify significant success factors that differentiate between the companies which have managed to survive for the entire time horizon, compared to those that had managed less well or had not survived at all for the total duration of the time horizon under consideration. Our analysis concluded that net working capital, total assets, turnover, total owners’ equity and result (Profit/Loss) were significant, while other variables, like long term debt and number of employees were not statistically significant.
