## 4 Data Analysis
### Discussions  
The structural model is described in this section and Table 9. The data demonstrate excellent validity and reliability, and the structural model explains 86% of the variance in green procurement practices, demonstrating its predictive validity. The \(p\)-value and t-value were determined in the structural model to evaluate the hypotheses. This means that any hypothesis can be accepted as long as the t-value is more than 1.96 or the \(p\)-value is less than 0.05. For the first research question, descriptive analysis has been employed. According to prior analyses, Malaysia had a modest degree of application of E-procurement technology for green procurement, because the notion of sustainable procurement practices is comparatively recent in the country [39; 47]. Therefore, this indicates that the ISO14001-accredited firms who have participated and responded to the research have successfully adopted and implemented strategies to achieve sustainability in their operations for the long run. A breakdown of E-procurement technology deployment levels for long-term procurement practices is therefore needed. An average mean score of 3.943 is portrayed as the 'Higher-level of sustainability after the adoption of E-procurement technologies in procurement operations and supply chain management. In this approach, focusing on E-procurement and sustainable supply chains is a milestone towards greater adoption, usage, and implementation of sustainability practices, because, in an organization, procurement and supply chain analysis encompasses the entire product life cycle, spanning raw material processing through to distribution to the end customer. Several established and developing market businesses have effectively integrated sustainability throughout their supply chains using emerging digital technologies such as E-procurement, boosting TBL effectiveness beyond the focus companies' limits. For the second research question, it is summarised that E-procurement technologies aid throughout the procurement procedure through factors such as reducing costs, time, eliminating \begin{table}
\begin{tabular}{c c c} \hline \hline
**Construct** & **SSO/SSE** & **Q2 = (1 - SSE/SSO)** \\ \hline Green Procurement Practices & 1672/ & 0.396 \\ (GPP) & 1009.934 & 10.396 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Predictive relevance (Q2). \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Path** & \
\begin{tabular}{c} **Original** \\ **Sample** \\ **(O)-Beta** \\ \end{tabular} &
\begin{tabular}{c} **Standard** \\ **Deviation** \\ **(STDEV)** \\ \end{tabular} & **T Statistics** & \(p\) **Values** & **Decisions** \\ \hline E-INF \(\rightarrow\) GPP & 0.029 & 0.048 & 2.604 & 0.044 & Supported \\ \hline E-ORD \(\rightarrow\) GPP & 0.021 & 0.034 & 6.607 & 0.000 & Supported \\ \hline E-RA \(\rightarrow\) GPP & 0.019 & 0.030 & 0.619 & 0.536 & Unsupported \\ \hline E-SOU \(\rightarrow\) GPP & 0.881 & 0.030 & 2.931 & 0.000 & Supported \\ \hline E-TEN \(\rightarrow\) GPP & 0.056 & 0.045 & 1.247 & 0.213 & Unsupported \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Hypotheses testing. mistakes, preserving resource requirements, and adding to long-term socioeconomic sustainability through enhanced process supply chain performance. Given the foreseeable trajectory embracing digitization in the ISO 14001 manufacturing sector environment, the multiple benefits of E-procurement enable procurement to contribute to sustainable procurement initiatives. Subsequently, the prerequisite for the creation of appropriate techniques that successfully encourage the adoption and broad usage of E-procurement achieves sustainability in the long run. The consortium of firms accomplishes its corporate social responsibility (CSR) through implementing green procurement practices, primarily through E-procurement, while seeking voluntarily sustainable and environment quality certification for sustainable consumption policies.