## 6 Discussion
### Development Impact of the Key Factors  
Performance expectancy accounted for the highest variance (24.798%), underscoring its critical role in influencing government cloud adoption intent and subsequent development outcomes. This highlights how perceived benefits of cloud services--such as efficiency, cost reduction, and service improvement--can drive transformative change in how governments deliver essential services to citizens, particularly in resource-constrained and required secure and trusted environments [127]. When governments recognise cloud computing's potential to enhance service accessibility and reduce digital divides, they are more likely to invest in these technologies as development enablers.  
The governance framework factor, contributing 12.70% of the variance, emphasises the importance of institutional structures and policy-level support in cloud adoption decisions and leveraging cloud technologies for development. This factor encompasses regulation and compliance mechanisms that are essential for ensuring a secure cloud adoption, contributing to inclusive and sustainable development rather than exacerbating existing inequalities in terms of accessibility and affordability [128]. Our findings align with previ  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline  & \multicolumn{4}{c}{**Rotated Component Matrix a**} \\ \hline  & \multicolumn{4}{c}{**Component**} \\ \cline{2-5}  **1** & **2** & **3** & **4** & **5** & **6** \\ \hline GovItnt1 & & & & 0.711 \\ \hline GovItnt2 & & & & 0.848 \\ \hline GovItnt3 & & & & 0.762 \\ \hline GovItnt4 & & & & 0.442 \\ \hline GovItnt5 & & & & 0.792 \\ \hline GovItnt6 & & & & 0.612 \\ \hline \end{tabular}
\end{table}
Table 5: _Cont._ous studies that underline the need for governance frameworks to mitigate information security and privacy challenges while maximising the developmental benefits [9; 64; 129].  
Information security (10.950% variance) and privacy (0.789% variance) reflect the technological and ethical concerns that often hinder cloud adoption in government contexts where public trust, data protection, and sovereignty are essential for IT development. The high factor loadings for information security between 0.908 and 0.952 and privacy between 0.704 and 0.907 demonstrate how these concerns significantly shape government intentions toward adopting cloud technologies that could otherwise accelerate development initiatives. This indicates that governments may hesitate to embrace cloud-enabled development pathways without explicit assurances regarding data sovereignty and citizen privacy protection.  
Perceived risk, which moderates the independent factors, explains 7.771% of the variance, with factor loadings ranging from 0.705 to 0.849. This demonstrates how risk perception influences the technology-development relationship, as governments remain cautious about the potential consequences of cloud adoption that could undermine IT development. Including perceived risk in our measurement scale highlights its significant role in moderating the challenges of cloud adoption and its potential developmental benefits in understanding risk perception in cloud computing for government institutions.  
The government intentions factor (5.064% variance) reflects how institutional readiness and strategic priorities influence the adoption of development-enabling cloud services. This aligns with the UTAUT model that highlights the importance of leadership in shaping technological trajectories, particularly in contexts where information security and privacy play a role in IT implementation perception that directly impacts developmental outcomes for service delivery, enhanced transparency, and increased citizen participation.  
The high Cronbach's alpha values (0.807-0.950) confirm the reliability of the constructs for measuring the relationships between the cloud adoption factors and intention to utilise the cloud for developmental services in government contexts.