# The Impact of Force Factors on the Benefits of Digital Transformation in Romania
## 5 Discussions and Conclusions
### Theoretical Implications  
According to the research results, six correlations are significant because their _t_-value levels are higher than the allowed value of 1.96, as follow: PC -> IUP (_t_-value = 5.790 \(>\) 1.96); PR -> IUP (_t_-value = 7.293 \(>\) 1.96), VS -> IUS (_t_-value = 9.270 \(>\) 1.96), IS -> IUS (_t_-value = 6.367 \(>\) 1.96), IUP -> BDT (_t_-value = 5.591 \(>\) 1.96) and IUS -> BDT (_t_-value = 13.355 \(>\) 1.96). Therefore, the null hypothesis 1, hypothesis 3, hypothesis 4, hypothesis 6, hypothesis 7, hypothesis 8 were accepted. For hypothesis 2 and hypothesis 5, the null hypotheses are rejected and the alternative ones are accepted. The exogenous latent variable PO exerts a weak, positive influence (0.090) on the IUP, just as the HS factor has a low positive impact on the IUS (0.082). The research results indicate that the variables Perceived competitiveness (PC), Perceived risk (PR) have a significant impact on Intention to Use Industry 4.0 processes (IUP) while Perceived vertical networking solutions (VS) and Perceived integrated engineering solution (IS) have a significant influence on the Intention to Use Industry 4.0 solutions (IUS). In conclusion, we can say that between Intention to Use Industry 4.0 solutions (IUS) and Benefits of Digital Transformation (BDT) there is a positive and significant association.  
The first Multigroup Analysis PLS (MGA), performed between the groups \"No, I don't use Industry 4.0 processes\" and \"Yes, I use Industry 4.0 processes\" for the proposed structural model indicated that there were no differences for the six paths created by the variables proposed and measured. The confidence intervals overlap for the six: PC -> IUP, PR -> IUP, VS -> IUS, IS -> IUS, IUP -> BDT, IUS -> BDT, so we accept null hypothesis 1, hypothesis 3, hypothesis 4, hypothesis 6, hypothesis 7 and hypothesis 8. The situation is different in the case of pathways PO -> IUP and HS -> IUS, where the confidence intervals do not overlap; therefore, at a significance level of 0.05, the null hypotheses hypothesis 2 and hypothesis 5 and the alternative ones are accepted. The results indicate insignificant differences depending on the \"intention to use Industry 4.0 processes\" for these path coefficients.  
The second Multigroup Analysis PLS (MGA), carried out between the groups \"No, I do not use Industry 4.0 solutions\" and \"Yes, I use Industry 4.0 solutions\" showed that there are no differences between the paths IUS -> BDT, PC -> IUP, VS -> IUS, IS -> IUS, IUP -> BDT, so the null hypotheses are accepted: hypothesis 1, hypothesis 4, hypothesis 6, hypothesis 7 and hypothesis 8. The confidence intervals for the pathways PO -> IUP, PR -> IUP and HS -> IUS do not overlap, so we can say that there are differences and we accept the alternative hypotheses hypothesis 2, hypothesis 3 and hypothesis 5. After performing the PLS-MGA, the parametric test and the Welch-Satterthwait test, it turned out that there is a significant difference depending on the \"intention to use Industry 4.0 solutions\" for the path between the latent variables PR and IUP.