## 4 Results
### Confirmatory Factor Analysis (CFA)
\begin{tabular}{l l c} \hline \hline
**Constructs** & \multicolumn{2}{c}{**Scale Items**} & \(\lambda\)**a** \\ \hline \multirow{3}{*}{\begin{tabular}{c} Performance \\ expectancy \\ \end{tabular} } & A robotic golf caddy seems to improve the efficiency of a round of golf. & 0.931 \\  & A robotic golf caddy is likely to make a round of golf easier. & 0.966 \\  & A robotic golf caddy seems to enhance the convenience of a round of golf. & 0.960 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Effort \\ expectancy \\ \end{tabular} } & Using a robotic golf caddy seems to be easy for me. & 0.887 \\  & Learning how to use a robotic golf caddy seems to be easy for me. & 0.936 \\  & It seems to be simple for me to use a robotic golf caddy. & 0.932 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Social \\ influence \\ \end{tabular} } & People who influence my behavior would think that I should use a robotic golf caddy. & 0.867 \\  & People who are important to me would think that I should use a robotic golf caddy. & 0.901 \\  & I would use a robotic golf caddy during a round of golf because my friends are more & 0.766 \\  & likely to use a robotic golf caddy. & 0.863 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Facilitating \\ conditions \\ \end{tabular} } & I have a condition to use a robotic golf caddy. & 0.863 \\  & My current situation, such as money and time, can support to use a robotic golf caddy. & 0.853 \\  & I could have the knowledge necessary to use a robotic golf caddy. & 0.872 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Perceived \\ risk \\ \end{tabular} } & Using a robotic golf caddy makes me feel anxiety. & 0.881 \\  & Using a robotic golf caddy makes me feel nervous. & 0.949 \\  & The usage of a robotic golf caddy would lead me to a psychological loss. & 0.911 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Attitude \\ \end{tabular} } & Unfavorable—Favorable & 0.880 \\  & Bad—Good & 0.908 \\  & Negative—Positive & 0.922 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Intentions \\ to use \\ \end{tabular} } & I will use a robotic golf caddy during a round of golf. & 0.928 \\  & I am willing to use a robotic golf caddy during a round of golf. & 0.871 \\  & I am likely to use a robotic golf caddy during a round of golf. & 0.947 \\ \hline \multirow{3}{*}{\
\begin{tabular}{c} Word-of-mouth \\ intentions \\ \end{tabular} } & I am likely to say positive things about a robotic golf caddy to others. & 0.839 \\  & I am likely to recommend a robotic golf caddy to others. & 0.967 \\ \cline{1-1}  & I am likely to encourage others to use a robotic golf caddy. & 0.918 \\ \hline \multirow{3}{*}{
\begin{tabular}{c} Goodness-of-fit statistics: \(\chi^{2}\) = 596.664, \(df\) = 224, \(p\) < 0.001, NFI = 0.939, IFI = 0.961, CFI = 0.961, TLI = 0.952, and RMSEA = 0.065 \\ \end{tabular} } \\ \cline{2-4}  & & All factors loadings are significant at \(p\) < 0.001. NFI = Normed Fit Index, IFI = Incremental Fit Index, CFI = Comparative Fit Index, TLI = Tucker–Lewis Index, and RMSEA = Root Mean Square Error of Approximation. \\ \hline \hline \end{tabular}   
* The AVE values, shown in Table 3, for all constructs were higher than the standard of 0.5, and the \(R^{2}\) values of the constructs were lower than their respective AVE values, which indicates both convergent and discriminant validity [81; 82]. Furthermore, the com  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Constructs** & \multicolumn{2}{c}{**Scale Items**} & \(\lambda\)**a** \\ \hline \multirow{3}{*}{ \begin{tabular}{c} Performance \\ expectancy \\ \end{tabular}  } & A robotic golf caddy seems to improve the efficiency of a round of golf. & 0.931 \\  & A robotic golf caddy is likely to make a round of golf easier. & 0.966 \\  & A robotic golf caddy seems to enhance the convenience of a round of golf. & 0.960 \\ \hline \multirow{3}{*}{ \begin{tabular}{c} Effort \\ expectancy \\ \end{tabular}  } & Using a robotic golf caddy seems to be easy for me. & 0.887 \\  & Learning how to use a robotic golf caddy seems to be easy for me.