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Table 6. Correlations between Security & E-Customer Satisfaction
SUM_E-Customer
SUM_Secutiry Satisfaction
**
Security Pearson Correlation 1 .606
Sig. (2-tailed) .000
N 133 133
**
E-customer Pearson Correlation .606 1
satisfaction Sig. (2-tailed) .000
N 133 133
**. Correlation is significant at the 0.01 level (2-tailed).
Q1: How does the security of e-commerce affect e-customer satisfaction in Malaysia?
H1: There is a significant relationship between security and e-customer satisfaction in Malaysia.
H1 is accepted (p=0.000, r=0.606). This provides an insight that security has a positive effect on e-
customer satisfaction in Malaysia. As can be seen in the above table, there is a significant relationship
between security and e-customer satisfaction (r=0.606, p<0.05). The relationship’s strength is strong
and highly correlated. Security concerns have gotten one of the main focus in the advanced time,
moreover for researchers, consumers, organizations, specialists, and arrangement producers (Acquisti
& Gross, 2009). According to Vijayasarathy (2002), the previous researcher has stated that customers
were very delicate on online protection. It is because, during online transactions, the issues of security
and protection would play an important role in making trust between the customers and the sellers
(Chellappa & Pavlou, 2002).
Table 7. Most Visited E-Commerce Platform
Cumulative
Frequency Percent Valid Percent
Percent
Valid Lazada 26 19.5 19.5 19.5
Shopee 46 34.6 34.6 54.1
Taobao 35 26.3 26.3 80.5
Hermo 1 .8 .8 81.2
Zalora 4 3.0 3.0 84.2
Others (Facebook, 21 15.8 15.8 100.0
Instagram etc)
Total 133 100.0 100.0
Table 8. Correlations between Product Quality & E-Customer Satisfaction
SUM_E-Customer SUM Product
Satisfaction Quality
**
E-customer satisfaction Pearson Correlation 1 .730
Sig. (2-tailed) .000
N 133 133
**
Product Quality Pearson Correlation .730 1
Sig. (2-tailed) .000
N 133 133
**. Correlation is significant at the 0.01 level (2-tailed).
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