FINDINGS AND DISCUSSION

Summary of Demographic data

Demographic Factors	Categories	Frequency	Percentage (%)
Gender	Male	167	52.2
	Female	153	47.8
	Total	320	100
Age	18-30	101	31.6
	31-40	124	38.8
	41-50	63	19.7
	51-above	32	10
	Total	320	100
Occupation	Student	63	19.7
	Employed	123	38.4
	Unemployed	31	9.7
	Self-employed	81	25.3
	Retired	22	6.9
	Total	320	100
Do you consider yourself to be an active user of e-payment?	Yes	261	81.6
	No	59	18.4
	Total	320	100
How often do you use e-payment in a month?	Only once	55	17.2
	5 to 10 times	112	35
	More than 10 times	153	47.8
	Total	320	100

Reliability Test

No.	Variable	Cronbach's Alpha	N of Items	Interpretation
1.	Rewards	0.910	5	Very good reliability
2.	Convenience	0.934	6	Very good reliability
3.	Security	0.907	5	Very good reliability
4.	Consumer Adoption	0.901	4	Very good reliability

Based on the table above, the convenience variable has the highest Cronbach's Alpha value standing at 0.934 which ranges at 0.80-0.95, therefore it is considered to have very good reliability. Next, the rewards variable was the second highest with the Cronbach's Alpha value 0.910, which range at 0.80-0.95, which is also considered to have a very good reliability. The third highest is the security variable standing at 0.907 which range at 0.80- 0.95, as very good reliability as well. The lowest out of the four variables is consumer adoption which amounts to 0.901 which still considered having good reliability. Since the overall Cronbach Alpha value was more than 0.9, therefore the questionnaire in this research was considered very good and consistent.

Correlation Test

	Hypothesis	Result	Reason
H1	There is a significant positive relationship between reward and consumer adoption	Accepted	0.803
H2	There is a significant positive relationship between convenience and consumer adoption	Accepted	0.877
H3	There is a significant positive relationship between security and consumer adoption	Accepted	0.873

Regression Test

 

Scatter Plot Graph: Relationship between Reward and Consumer’s Adoption of Cashless Payment

The figure above shows that the relationship between reward and consumer’s adoption to e-payment has been investigated. The line is moving from bottom left towards the upper right in the graph indicates that there is a positive co-relation between reward and consumer’s adoption of e-payment. It is also revealed that the linear regression is 0.645 with a regression equation of y=1.72+0.66*x

  

  

Scatter Plot Graph: Relationship between Convenience and Consumers’ Adoption of Cashless Payment 

The figure above shows that the relationship between convenience and consumer’s adoption to e-payment has been investigated. The line is moving from bottom left towards the upper right in the graph indicates that there is a positive co-relation between convenience and consumer’s adoption of e-payment. It is also revealed that the linear regression is 0.769 with a regression equation of y=1.02+0.57*x

Scatter Plot Graph: Relationship between Convenience and Consumers’ Adoption of Cashless Payment

The figure above shows that the relationship between security and consumer’s adoption to e-payment has been investigated. The line is moving from bottom left towards the upper right in the graph indicates that there is a positive co-relation between security and consumer’s adoption of e-payment. It is also revealed that the linear regression is 0.762 with a regression equation of y=1.05+0.72*x

SEM Development Prediction Model

Model Analysis

Firstly, the model was presented with direct path from rewards, convenience and security. All variable links were significant at 0.000 level with the path coefficient of 0.027, 0.476 and 0.457 respectively. Up to this point, no indirect effect was hypothesized or evaluated. Based on Figure 9 above, convenience contributes the highest relationship between the consumer adoption at the value of 0.476. The items inside convenience that contributed the most towards being the highest relationship are C1, C4 and C5. The models had:

1)      A direct path from rewards to consumer adoption of cashless payment.

2)      A direct path from convenience to consumer adoption of cashless payment.

3)      A direct path from security to consumer adoption of cashless payment.