## 4 Evaluated Measurements
### Third Evaluated Step-FST Approach into ANP Model  
To purify the questionnaire results of fifteen experts in the ANP model of qualitative analysis for higher research reliability, the FST method was continuously employed to verify the measured \begin{table}
\begin{tabular}{c c} \hline
**Pairwise-Comparison Matrix** & **C.R. (All C.R. Were Lower Than 0.1)** \\ \hline Pattern customers (Mo) & 0.096 \\ Pattern company (Lo) & 0.0927 \\ Pattern society (So) & 0.0697 \\ Criteria External & 0.079 \\ Criteria Perceived Usefulness & 0.0673 \\ Criteria Perceived Ease & 0.0647 \\ Criteria Behavioral & 0.0631 \\ Sub-criteria-PI & 0.0484 \\ Sub-criteria-PP & 0.0356 \\ Sub-criteria-PFS & 0.0389 \\ Sub-criteria-OS & 0.0577 \\ Sub-criteria-SA & 0.0556 \\ Sub-criteria-PB & 0.0556 \\ Sub-criteria-PB & 0.0469 \\ Sub-criteria-IE & 0.0438 \\ Sub-criteria-PR & 0.0248 \\ Sub-criteria-IS & 0.0282 \\ Sub-criteria-AE & 0.0338 \\ Sub-criteria-PC & 0.0307 \\ Sub-criteria-DO & 0.0191 \\ Sub-criteria-PWS & 0.0467 \\ Sub-criteria-PWNS & 0.0396 \\ Sub-criteria-BC & 0.0507 \\ \hline \end{tabular}
\end{table} 
Table 6: C.R. numbers of ANP model. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**C Criteria**} & \multirow{2}{*}{**Weight-ANP**} & \multirow{2}{*}{**Sub-Criteria**} & \multirow{2}{*}{\begin{tabular}{c} **Communalities** \\ **of FA** \\ **Approach** \\ \end{tabular} } & \multicolumn{2}{c}{\begin{tabular}{c} **Purchasing** \\ **Original Intentions** \\ \end{tabular} } & \multicolumn{2}{c}{\begin{tabular}{c} **Purchasing** \\ **Attitude Decisions** \\ \end{tabular} } & \multicolumn{2}{c}{\begin{tabular}{c} **Purchasing Actual** \\ **Actions** \\ \end{tabular} } \\ \cline{3-10}  & & & & & **Evaluated** & & **Score** & **Weight** & **Evaluated** \\ \hline \multirow{4}{*}{\begin{tabular}{c} External Variables (TAM) \& \\ Exogenous Variable (HS) \\ \end{tabular} } & & PI & 0.813 & 0.5813 & 0.2147 & 0.291 & 0.1075 & 0.1277 & 0.0472 \\  & & PT & 0.705 & 0.5762 & 0.1845 & 0.2914 & 0.0933 & 0.1324 & 0.0424 \\  & & PT & 0.725 & 0.5763 & 0.1989 & 0.2876 & 0.0947 & 0.1362 & 0.0448 \\  & & PFS & 0.763 & 0.5752 & 0.1993 & 0.2876 & 0.0997 & 0.1349 & 0.0468 \\ \hline \multirow{4}{*}{\begin{tabular}{c} Perceived Usefulness (TAM) \& \\ Perceptual Constraints (ISM) \\ \end{tabular} } & & OS & 0.672 & 0.5899 & 0.1117 & 0.286 & 0.0541 & 0.1241 & 0.0235 \\  & & SA & 0.66 & 0.583 & 0.1084 & 0.2906 & 0.054 & 0.1264 & 0.0235 \\  & & PFS & 0.665 & 0.583 & 0.1092 & 0.2906 & 0.0544 & 0.1264 & 0.0237 \\ \hline \multirow{4}{*}{\
\begin{tabular}{c} Perceived Ease of USE (TAM) \& \\ \& Information Search \& \\ Decision Assessment (N) \\ \end{tabular} } & & PI & 0.716 & 0.5881 & 0.0711 & 0.2866 & 0.0347 & 0.1253 \\  & & IE & 0.825 & 0.5848 & 0.0815 & 0.2879 & 0.0401 & 0.1272 & 0.0177 \\ \hline \multirow{4}{*}{
\begin{tabular}{c} Behavioral Intentions to Use \\ (TAM) \& Decision Process \\ (EZB) \\ \end{tabular} } & & PR & 0.769 & 0.5777 & 0.0423 & 0.2932 & 0.0215 & 0.1291 & 0.0094 \\  & & IS & 0.602 & 0.5709 & 0.0327 & 0.2933 & 0.0168 & 0.1358 & 0.0078 \\  & & AE & 0.74 & 0.5777 & 0.0407 & 0.2888 & 0.0204 & 0.1335 & 0.0094 \\  & & PC & 0.682 & 0.5728 & 0.0372 & 0.2913 & 0.0189 & 0.1359 & 0.0088 \\  & & DO & 0.384 & 0.5824 & 0.0213 & 0.2836 & 0.0104 & 0.134 & 0.0049 \\  & & PWS & 0.578 & 0.5724 & 0.0315 & 0.2972 & 0.0164 & 0.1355 & 0.0072 \\  & & PWNS & 0.777 & 0.572 & 0.0423 & 0.2911 & 0.0215 & 0.1369 & 0.0101 \\  & & BC & 0.675 & 0.5803 & 0.0373 & 0.2888 & 0.0186 & 0.1309 & 0.0084 \\ \hline \multicolumn{4}{c}{Standardized SNIC} & & 0.5797 & \multicolumn{4}{c}{0.2895} & \multicolumn{4}{c}{0.1307} \\ \hline \hline \end{tabular}
\end{table} 
Table 5: The standardizing SCIN measurement of ANP model. consequences of the ANP model based on the Equation (3) of the FST method of qualitative analysis. The most critical reason is that the FST method were able to effectively minimize the linguistic ambiguousness of the experts' questionnaire responses in order to exactly recognize the interviewees' real comments.