## 4 Results and Analysis
### Structural Model Assessment
\begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline
**Constructs** & **1** & **2** & **3** & **4** & **5** & **6** & **7** & **8** \\ \hline
1. COL: Collaboration & – & & & & & & & \\
2. DIPI: Digital Piracy & 0.064 & & & & & & & \\
3. DTE: Digital Transformation Enablers & 0.516 & 0.225 & & & & & & \\
4. IDL: Information and Data Literacy & 0.442 & 0.428 & 0.637 & & & & & \\
5. IN: Innovation & 0.434 & 0.199 & 0.524 & 0.701 & & & & \\
6. ISM: Information Security Management & 0.272 & 0.551 & 0.478 & 0.816 & 0.554 & & & \\
7. PS: Problem-Solving & 0.274 & 0.303 & 0.585 & 0.668 & 0.565 & 0.689 & & \\
8. RES: Responsibility & 0.146 & 0.593 & 0.489 & 0.634 & 0.420 & 0.667 & 0.556 & – \\ \hline \hline \end{tabular} Source: Authors.  
\end{table} 
Table 3: Discriminant validity (HTMT0.85 criterion). that the values of the path coefficients for the four previously mentioned relations record are negative but very discrete values. Responsibility recorded a positive indirect effect on innovativeness (\(\beta\) = 0.112, t = 3.013, \(p\) < 0.01), as well as on problem-solving capabilities (\(\beta\) = 0.117, t = 2.917, \(p\) < 0.01), including an intervening role of digital transformation enablers. The intervening role of digital transformation enablers was recorded in the positive and statistically significant relationship between collaboration and innovation (\(\beta\) = 0.131, t = 4.304, \(p\) < 0.001), as well as between collaboration and problem-solving capabilities (\(\beta\) = 0.137, t = 4.743, \(p\) < 0.001). To validate the mediator effect, the method described by [PERSON] et al. [79] was employed. The application of the aforementioned method and further analysis of the path coefficients confirmed that digital transformation enablers serve as a partial mediator between the constructs of digital citizenship and innovation and problem-solving capabilities in all indirect relationships for which a statistically significant indirect effect was previously confirmed. Thus, both hypotheses H3a and H3b were partially confirmed. Standard coefficients used in the partial-least-squares approach to structural equation modeling were used to assess the quality of the structural model. The conceptual model proposed in the study recorded a standard root-mean-square (SMRM) value of 0.07, which is less than the upper limit set at 0.09 [80]. A cross-validated redundancy index (Stone-Geisser Q\({}^{2}\)) for digital transformation enablers, innovation, and problem-solving capabilities was calculated to be 0.346, 0.276, and 0.242, respectively (Table 5). All the listed values are positive and indicate the good quality of the structural model. The \begin{table}
\begin{tabular}{l c c c c} \hline \hline
**Relationship** & **Path Coefficient** & \(t\)**-Value** & **95\% CIs (Bias-Corrected)** & **Results** \\ \hline IDL \(\rightarrow\) DTE & 0.318 *** & 3.339 & [0.130, 0.501] & Supported \\ ISM \(\rightarrow\) DTE & \(-\)0.020 & 0.235 & [\(-\)0.187, 0.143] & Not supported \\ DIPI \(\rightarrow\) DTE & \(-\)0.044 & 0.681 & [\(-\)0.174, 0.087] & Not supported \\ RES \(\rightarrow\) DTE & 0.242 *** & 3.212 & [0.072, 0.371] & Supported \\ COL \(\rightarrow\) DTE & 0.284 *** & 4.852 & [0.172, 0.388] & Supported \\ DTE \(\rightarrow\) IN & 0.463 *** & 9.001 & [0.355, 0.556] & Supported \\ DTE \(\rightarrow\) PS & 0.482 *** & 9.507 & [0.369, 0.572] & Supported \\ \hline \hline \end{tabular}  
* Notes: IDL: Information and data literacy; ISM: Information security management; DIPI: Digital piracy; RES: Responsibility; DTE: Digital transformation enablers; IN: Innovation; COL: Collaboration; PS: Problem-solving *** \(p\) < 0.001. Source: Authors.  
\end{table} 
Table 4: Results of testing the research model: direct effects.