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Research Questions
               a)      Does the security of e-commerce affect e-customer satisfaction in Malaysia?
               b)      Does the product quality of e-commerce influence e-customer satisfaction in Malaysia?
               c)      Does the information quality of e-commerce impact e-customer satisfaction in Malaysia?

                                                   Research Objectives
               The purpose and objective of this research are to study the relationship between e-service quality and
               e-customer satisfaction. The research is aim to examine variables of:
               a)      To determine the relationship between security and e-customer satisfaction.
               b)      To determine the relationship between product quality and e-customer satisfaction.
               c)      To determine the relationship between information quality and e-customer satisfaction.


                                                        Methods
               This research focuses on the quality of e-service and the happiness of e-customers in e-commerce.
               Three key independent factors, including safety, product quality and information quality, are derived
               from e-service quality. Meanwhile, e-commerce satisfaction in Malaysia is assessed by the dependent
               variable. For the goal of our analysis review, this study adopts a quantitative e-commerce research
               approach.  Furthermore,  hypothesis  tests  are  carried  out  by  describing  the  association  between
               dependent and independent variables in this study. A questionnaire is distributed to 133 consumers
               with minimal online experience to elicit their views and perspectives on how e-service quality affects
               e-satisfaction on an online platform. A questionnaire was chosen in this study because it is an efficient
               and straightforward method of data collection, allows for data interpretation, and covers all aspects of
               the subject under consideration. Pearson Correlation Coefficient Analysis was utilized to determine
               the correlation between the independent variables in this study. Additionally, multiple regression was
               performed  to  determine  the  causal  relationship  between  various  independent  variables  and  the
               dependent variable.

                                                  Result and Discussion
               The  result  of  reliability  statistics  is  depending  on  the  133  valid  answers  given  in  this  study.   The
               reliability statistics for security, the Alpha value of 0.871 for the Cronbach, which is higher than 0.70.
               Reliability statistics for product quality, the Alpha value of 0.832 for the Cronbach, which is higher
               than  0.70  and  the  reliability  statistics  of  information  quality,  the  Alpha  value  of  0.824  for  the
               Cronbach,  which  is  higher  than  0.70.  A  coefficient  of  reliability  of  0.70  or  greater  is  called
               "reasonable."

               The table below provides a detailed study of the backgrounds of the 133 respondents from different
               categories. The descriptive statistics are including gender, educational level, average monthly income,
               frequency of using an e-commerce platform, monthly spending on e-commerce platform and  most
               visited e-commerce platform.

                                                      Table 1. Gender
                                                                               Cumulative
                                              Frequency  Percent  Valid Percent   Percent
                               Valid  Male           64      48.1        48.1         48.1

                                     Female          69      51.9        51.9        100.0
                                     Total          133     100.0       100.0





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