Page 558 - MARSIUM'21 COMP OF PAPER

537 Nor Khairena binti Khalid (2022)

5.1 Independent Sample T-test and ANOVA Analysis Discussion

In this study, an Independent Sample T-test was used to evaluate the demographic groups of gender, and the results revealed that
there is no significant difference in purchase intention between the groups in the sewing garment business. As a result, it is clear that the
sewing garment sector is not based on gender. The findings are interesting because prior research by Vinnik (2017) showed that gender
groupings have no substantial impact on purchasing intent in the sewing garment sector.

The demographic categories that were tested using ANOVA Analysis revealed that there is no significant difference in age, monthly
income, or educational level. To begin, the significant value groups of age, monthly income, and educational level are all greater than 0.05.
These findings show that Malaysian respondents aged 31 to 35 are more likely to work in the sewing garment business. However, Malaysian
clients' monthly income ranges from RM 3001 to RM 4000, and their educational level ranges from SPM to university.

5.2 Hypothesis Discussion

5.2.1 H1: To determine if there is a positive relationship between Brand Awareness and Purchase Intention of customers’ adoption
in the sewing garment industry.

The results reveal that H1 is acceptable since there is a favourable association between brand awareness and customer purchase
intention in the sewing garment business. The findings (= 0.286, t-value < 3.426, sig = 0.001) show that brand knowledge is positively related
to customers' purchase intent in the sewing garment business. In the sewing garment sector, brand awareness is an essential indicator of
customers' purchasing intentions. As a result, H1 is supported

5.2.2 H2: To determine if there is a positive relationship between Perceived Price and Purchase Intention of customers’ adoption in
the sewing garment industry.

Unexpectedly, the result of H2 is rejected as it shows that there is no positive relationship between perceived price and the purchase
intention of customers’ adoption in the sewing garment industry. Perceived price results (β = -0.010, t-value = -0.124, sig = 0.901)
stipulate that there is no relationship towards the purchase intention of customers’ adoption in the sewing garment industry. In other words,
perceived price is the least influential factor on the purchase intention of customers’ adoption in the sewing garment industry. Hence, H2 is
not supported.

5.2.3 H3: To determine if there is a positive relationship between Advertisement and Purchase Intention of customers’ adoption in
the sewing garment industry.

Based on the previous chapter, H3 is accepted because the result of the advertisement exemplifies that there is a positive
relationship towards the purchase intention of customers’ adoption in the sewing garment industry. The finding (β = 0.482, t-value = 6.037,
sig = 0.000) shows that the advertisement does positively correlate with the purchase intention of customers’ adoption in the sewing garment
industry. This finding indicates that the interactive advertising, discount and promotion through media social of users’ does have a strong
influence on customers’ purchase intention to adopt in the sewing garment industry. In conclusion, advertisement does affect the purchase
intention of customers’ adoption in the sewing garment industry. Thus, H3 is supported.

5.2.4 H4: To determine if there is a positive relationship between Store Image and Purchase Intention of customers’ adoption in the
sewing garment industry.

Result confirms that H4 is rejected where store image does not have a positive relationship towards the purchase intention of
customers’ adoption in the sewing garment industry.. Consequently, the results (β = 0.052, t-value = 0.639, sig = 0.524) specify that store
image does not influence the relationship between the purchase intention of customers’ adoption in the sewing garment industry. In short,
store image is not a major factor in the purchase intention of customers’ adoption in the sewing garment industry. Therefore, H4 is not
supported

5.3 Limitation and Recommendation of the Research

This study is hampered by a number of flaws that are unavoidable. Some ideas may be useful for future improvement and achieving
better study outcomes based on the constraints that present in this research. Firstly, because the study is cross-sectional, it is impossible to
demonstrate changes in respondents' purchasing intentions over time. The data was gathered over a specific period of time in order to analyse
the relationship between the independent and dependent variables. However, in the sewing garment sector, the independent variables
influencing purchasing intention can change over time. As a result, it is suggested that a longitudinal method be utilised to collect data and
assess improvements in responders over time. Because data collecting takes longer and the sequence of variables is often better investigated,
the longitudinal approach is easier (Lee et al., 2018).

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