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(α = 0.898) which indicate that all variables are reliable for this study. Each variable resulted above 0.7 where the lowest is complementarity (α
= 0.837) and highest is e-trust (α = 0.903).

4.3 Multiple Regression Analysis

According to Petchko (2018), multiple regression analysis (MRA) is a statistical approach for determining the link between a dependant variable
and independent variables. The estimates generated by this statistical approach are known as coefficients. After all the other predictor variables
in the model have been statistically eliminated, the size of regression coefficients reflects how much each predictor variable contributes to the
variance in the dependent variable on its own. Multiple regression analysis method is widely used by most practitioners and academicians
because it has been well-established for a long time (Shetty et al., 2020). In addition, multicollinearity is a statistical phenomenon characterised
by a high correlation between two or more predictor variables in a multiple regression model (Frost, 2021). Multicollinearity can be determined
by examining the correlation between variables and calculating tolerance values and the variance inflation factor (VIF) when tolerance levels
are less than 0.1. The multicollinearity exists when there is no connection between independent variables with values greater than 95% (Lavery
et al., 2019). In this study, a multiple regression analysis was conducted to investigate the relationships between ease of use, usability,
entertainment and complementarity of website with e-trust and online booking intention.

To test the proposed hypotheses, multiple regression analysis was conducted on every independent variable and dependant variable. The
confidence interval was set to 0.95 during the analysis. The multiple regression analysis result in Table 3 shows that three independent variables
have p value less than 0.05 and other two independent variable has p value more than 0.05. Usability of website, complementarity of website
and e-trust of website have significance value of 0.00 which indicates that these three website elements have positive relationship with the online
booking intention. Therefore, H1 (The usability of website positively and significantly influences the online booking intention of customers), H4
(The complementarity of website positively and significantly influences the online booking intention of customers) and H9 (The e-trust on the
website positively and significantly influences the online booking intention among customers) are supported. In contrast, ease of use and
entertainment of website have no relationship with the online booking intention. Therefore, H2 (The ease of use of website positively and
significantly influences the online booking intention of customers) and H3 (The entertainment of website positively and significantly influences
the online booking intention of customers) are not supported.

Model Coefficients Std. Std. Coefficients Result
Unstandardized Error (Beta) t Sig.
Dependant Variable: Online Booking Intention
Usability 0.473 0.120 0.385 3.930 0.000 Supported
Ease of Use 0.140 0.124 -0.109 -1.127 0.262 Not Supported
Entertainment -0.142 0.106 0.130 -1.337 0.183 Not Supported
Complementarity 0.775 0.113 0.635 6.842 0.000 Supported
E-Trust 0.781 0.059 0.737 13.252 0.000 Supported
Table 3: Result of multiple regression

The multiple regression analysis result in Table 4 reveals that two independent variables have p value less than 0.05 and other two independent
variable has p value more than 0.05. Usability of website and complementarity of website has same significance value (p = 0.00) which indicates
that these two website elements have positive relationship with the e-Trust. Therefore, H5 (The usability of the website positively and significantly
influences the e-trust) and H8 (The complementarity of website positively and significantly influences the e-trust) are supported. In contrast, ease
of use of website and entertainment of website has significance value (p = 0.335) and (p = 0.673) respectively. This indicates that ease of use and
entertainment of website have no relationship with the e-trust. Therefore, H6 (The ease of use of the website positively and significantly
influences the e-trust) and H7 (The entertainment of the website positively and significantly influences e- trust) are not supported.

Model Coefficients Std. Std. Coefficients Result
Unstandardized Error (Beta) t Sig.
Dependant Variable: E-Trust
Usability 0.380 0.096 0.327 3.937 0.000 Supported
Ease of Use 0.096 0.099 0.079 0.967 0.335 Not Supported
Entertainment 0.036 0.085 0.035 0.423 0.673 Not Supported
Complementarity 0.542 0.091 0.471 5.978 0.000 Supported
Table 4: Result of multiple regression

■ 5.0 ONLINE BOOKING IMPLEMENTATION FOR NASESZ ENTEPRISE

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