## 4 Results and Discussion
### Factor Analysis
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & & \multicolumn{2}{c}{**Extraction**} & \multicolumn{2}{c}{**Rotation**} & \multirow{2}{*}{**Code**} & \multirow{2}{*}{**Risk Factor**} \\
**Risk Factor** & **Extracted** & **Sum of** & **Sum of** & **Factor** & & \\
**Components** & **Eigenvalue** & **Squared** & **Squared** & **Loadings:** & **Coadings:** & **Coore** & & \\  & & **Variance \%** & **Variance \%** & **Variance \%** & & & & \\ \hline  & & & & 0.723 & R42 &
\begin{tabular}{c} Failure to consider component \\ repair and replacement \\ \end{tabular} \\ \cline{4-7}
5 & 2.640 & 4.000 & 5.312 & 0.717 & R41 &
\begin{tabular}{c} Failure to consider construction \\ health and safety \\ \end{tabular} \\ \cline{4-7}
6 & 2.599 & 3.938 & 5.062 & 0.580 & R58 & Failure to build to design \\  & & & 0.494 & R52 & \
\begin{tabular}{c} Failure to consider \\ construction Techniques \\ \end{tabular} \\ \cline{4-7}  & & & 0.465 & R49 & Poor project management \\ \hline  & & & 0.785 & R4 &
\begin{tabular}{c} Inadequate inflation forecasts \\ \end{tabular} \\ \cline{4-7}
7 & 2.200 & 3.334 & 4.841 & 0.649 & R6 &
\begin{tabular}{c} Failure to consider future \\ operational costs \\ \end{tabular} \\ \cline{4-7}
8 & 1.975 & 2.993 & 4.762 & 0.502 & R18 & \begin{tabular}{c} Failure to consider implication of \\ economic conditions \\ \end{tabular} \\ \cline{4-7}  & & & 0.497 & R17 & \
\begin{tabular}{c} Failure to consider \\ constructability issues \\ \end{tabular} \\ \hline  & & & & 0.762 & R57 &
\begin{tabular}{c} Improper project planning \\ and budgeting \\ \end{tabular} \\ \cline{4-7}
9 & 1.721 & 2.608 & 4.605 & 0.728 & R56 &
\begin{tabular}{c} Failure to consider \\ procurement method \\ \end{tabular} \\ \cline{4-7}
10 & 1.540 & 2.333 & 4.338 & 0.577 & R29 & \begin{tabular}{c} Unproven \\ construction techniques \\ \end{tabular} \\ \cline{4-7}  & & & 0.498 & R16 & \
\begin{tabular}{c} Failure to appreciate \\ design uncertainty \\ \end{tabular} \\ \cline{4-7}  & & & 0.407 & R32 &
\begin{tabular}{c} Failure to meet performance or \\ design standards \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 4: _Cont._Table 3 also shows the strength of the relationship between the variables and the extracted matrix of correlation coefficients, and then extracts the components that have an eigenvalue of more than 1 from the matrix of correlation coefficients. The results present the variables that highly correlate with a set of other variables. The eigenvalues for the components varied between 33.91 and 1.54, and the rotated variance load varied between 9.13% and 2.63%. Each component has more than two factors with a loading score of more than 0.4. The value attributes that have a loading score of more than 0.4 were reduced and redundant data were eliminated in the clustering stage in order to obtain a few variables that present the risk characteristics and their impacts on value created by green building design. Further reduction was carried out in the subsequent section based on their ranking by the professionals. Table 4 presents the factor analysis and data reduction results for the five new clusters that were molded based on the 16 extracted components and their most important risk factors in Table 3. The new clusters were considered as risk indicator clusters that impact the value creation and can be used for managing the project risks at tolerance level. The variance percentage of each risk factor was extracted from Table 3 while the variance of each cluster was calculated by summation of each component's variance in the same generated cluster. For example, the functional risk cluster in Table 4 is one of five clusters for impact of risk factors on value creation. The cluster encompasses component 8 (variance of 4.76%) that presents R20, R19, and R17; component 11 (variance of 3.69%) that presents R21 and R22; component 10 (variance of 4.34%) that presents R33; and component 14 (variance of 3.501%) that presents R35 and R36 as the main indicators of its set.