Non-financial impacts analysis on firm growth: A study on TOBB Turkey 100 companies

Due to economic pressures, growth is given importance for companies. This study aims to examine the dynamics that affect the growth and success of companies applying to the TOBB Turkey 100 program for the 2020 and 2021 periods, based on their net sales revenue growth. In line with this goal, regression and logistic regression models with independent variables for 2020 and 2021 were established for the growth and success section. Then, with the regression and logistic regression models we obtained with the data of the companies applying for the 2020 period, the growth rate and success status of the companies applying for the 2021 period were estimated. According to the results obtained, it is seen that the change in the number of employees has a positive effect on the increase in turnover in both periods. The growth rate decreases as the age of the firm increases. It has been observed that the companies operating in the agriculture, forestry and fisheries sectors have grown less than the companies in other sectors and are less likely to be successful. It has been determined that the growth rate and probability of success of the companies in the Eastern Anatolia Region are lower than those in Istanbul, West Marmara and West-East Black Sea Regions. For the estimation of the success situation, the correct prediction rate of the 2021 period of the 2020 period logistic regression model was calculated as 77%. The accuracy rate of the logistic regression model of the success status of 2021 with the data of the companies applying in the 2021 period was found to be 81.6%. When the accuracy rates are compared, it turns out that the 2021 logistic regression model is a better forecasting model.