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429                                  Qayum & Mazilah (2021)


                                          Table 3: Multicollinearity Analysis

                              Variables                                 Collinearity Statistics
                                                                Tolerance                   VIF
               Experience with Shopping Environment (SE)          0.589                     1.699

               Experience with Staff Service (SS)                 0.384                     2.606

               Experience with Shopping Procedure (SP)            0.301                     3.317
               Product Experience (PE)                            0.534                     1.873


            a. Dependent Variable: Customer Satisfaction

           4.5  Multiple Regression Analysis

               The regression analysis summary is shown in Table 6. The value R was 0.597, meaning that 59.7% of the variation existed in the
            Customer Satisfaction could be explained by Experience with  Shopping Environment, Experience with Staff Service, Experience with
            Shopping Procedure, and Product Experience. The R square suggested that the relationship was positive, with a score of 59.7%  (Cohen,
            1988).

                                           Table 4: Summary of Regression

                 Model         R        R Square        Adjusted R Square        Std. Error of the Estimate

                                 a
                   1         .772         0.597               0.583                      0.29257
            a. Predictors: (Constant), Experience with Shopping Environment, Experience with Staff Service, Experience with Shopping Procedure,
            Product Experience.

           4.6  Summary of Hypothesis

              Table 7 demonstrates that each independent variable is supported, except for the Experience with Staff Service, which is not supported
            with a value of 0.301. This value violates the significant value requirement of less than 0.05, 0.005, or 0.001. Hence, the customer satisfaction
            was influenced by three independent variables.
                                             Table 5: Hypothesis Testing

                            Variables                   Beta          t         Sig.            Decision

             Experience with Shopping Environment (SE)   0.162      2.126      0.036            Supported

             Experience with Staff Service (SS)         0.098       1.038      0.301          Not Supported
             Experience with Shopping Procedure (SP)    0.197       1.853      0.066            Supported

             Product Experience (PE)                    0.456       5.697      0.000            Supported

            a. Dependent Variable: Customer Satisfaction

             ■   5.0 DISCUSSION

              The significant positive influence of customer experience with an online shopping environment on customer satisfaction is demonstrated.
            The results significantly supported H1, which states that customer experience with an online shopping environment significantly influences
            customer satisfaction. The results revealed that the p-value was 0.036, which was below the 0.05 threshold, and that the β value = 0.162,
            which was within acceptable limits. Pei et al. (2020) conducted a study in which they established a link between the customer's experience
            with an online shopping environment and customer satisfaction. This result is consistent with their findings. According to Liu et al. (2008),
            an online purchasing environment implies that the items are intangible, meaning that buyers cannot touch, taste, see, smell, or listen to the
            goods in the same way they would in a conventional setting.


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