## 4 Research Methodology
### Research Results
\begin{table}
\begin{tabular}{l c c c c c} \hline \hline \multirow{2}{*}{**Independent Variable**} & \multirow{2}{*}{**Beta**} & \multirow{2}{*}{**SE**} & \multicolumn{2}{c}{**Standardized Beta**} & \multirow{2}{*}{**T-Student**} & \multirow{2}{*}{_p Value_} \\ \hline Company’s environment is & & & & & \\ constantly changing. & 0.000 & 0.041 & \(-\)0.001 & \(-\)0.008 & 0.993 \\ The company’s & \(-\)0.003 & 0.046 & \(-\)0.004 & \(-\)0.059 & 0.953 \\ environment is complex. & & & & & \\ The company offers a lot of & 0.043 & 0.042 & 0.069 & 10,016 & 0.311 \\ different products. & & & & & \\ Manufacturing process is & 0.064 & 0.039 & 0.105 & 10,618 & 0.108 \\ routine, tasks are repeatable. & & & & & \\ Organizational culture is & & & & & \\ strong and employees are & 0.067 & 0.043 & 0.100 & 10,571 & 0.118 \\ sharing it willingly. & & & & & \\ Most of employees have a & 0.151 & 0.041 & 0.246 & 30,663 & 0.000 \\ higher degree of education. & & & & & \\ Controlling dynamic & & & & & \\ capabilities (CDC) & & & & & \\ \hline \hline \end{tabular} Source: own work.  
\end{table} 
Table 3: Regression analysis with control variables. The obtained regression model with mediator is statistically significant (F (2224) = 139,073 and corrected R2 = 0.553), as the obtained coefficient satisfy the rule of thumb for research in social sciences ([PERSON] et al., 2010). Moreover, controlling quality is a statistically significant mediator of the model (\(p\) < 0.001, coeff. = 0.348, se = 0.069). Those results confirm that the mediating effect is statistically significant, as can be observed in Table 4 (indirect effect occurs, \(p\) < 0.001). The obtained model shows _that controlling quality is indeed a mediator of the relation between controlling dynamic capabilities and organizational performance._ Therefore, those results together with the results of correlation analysis allow for accepting hypothesis H1-H4. The obtained mediation model was analyzed in the context of IT influence to verify the statistical significance of IT dynamic capabilities and IT reliability it as moderators of the relations given in the model. The hypotheses were tested using multiple mediated regression analysis with moderator for every relation. Using the Process Macro (models 7 and 14), the moderated regression analysis procedure was performed to verify the proposed hypotheses. The moderator was introduced into the mediated linear regression model as a new variable for every case. Mediator is a product of two standardized independent variables. For every case, three linear regression models were built. The first model, where only independent variables were added as predictors, is a base one for comparison. The second model, where not only independent variables, but also the moderator is added as predictors, is compared with it. It allows to verify if there is a moderating influence in the entire sample. The third model is built for confirmation, where only moderator and one independent variable are introduced. The results of the analysis are presented in Table 6.  
The performed mediated linear regression analysis with moderators confirmed the hypotheses. The obtained results clearly show that IT dynamic capabilities is a statistically significant moderator in case of the relation between controlling dynamic capabilities and controlling quality in a given mediated regression model (F (3216) = 183,130, \(p\) < 0.001). The IT reliability is in turn a statistically significant moderator in case of the relation between controlling quality and organizational performance in a given mediated regression model (F (3216) = 137,171, \(p\) < 0.001). In both cases, the model fit and F-Snedecor statistics were sufficient and statistically significant, hence the model could be used for statistical reasoning. Therefore, as shown in Table 6, obtained results are the basis for the acceptance of hypothesis H5 and H6.