RESEARCH FINDING AND ANALYSIS
4.5 Regression
difference in the mean attitude toward the brand to make a decision to purchase cosmetic products between each income level. However, there is no significant difference in the mean of other variables between each income level.
Table 4.23 Attitude toward the brand (between Income Level)
Dependent Variable Mean
Difference (I-J)
Sig.
1. Brand or producer effects on making decision to purchase products.
45,001 and above
Less than 18,000 .430* 0.002 30,001-45,000 .344* 0.020
There are significant differences between a group of earning 45,001 and above and less than 18,000 Baht (0.002) as well as a group of income 45,001 Baht and above and 30,001 to 45,000 Baht.
H4: There is a positive relationship between intention to purchase and brand reputation.
H5: There is a positive relationship between intention to purchase and social media influencer.
H6: There is a positive relationship between intention to purchase and integrated marketing communication.
H7: There is a positive relationship between brand reputation and social media influencer.
H8: There is a positive relationship between brand reputation and integrated marketing communication.
Figure 4.1 Hypothesis
Table 4.24 Regression (H1, H2, H3, H4, H5 and H6) Model Summary (Intention to purchase)
R R Square Adjusted R Square Std. Error of the Estimate
0.78 0.61 0.61 0.38
The R Square of this model is 0.61, which means the all independent variables can be explained by 61%.
ANOVA (Intention to purchase)
Sum of Squares f Mean
Square
F Sig.
Regression 105.00 6 17.50 119.02 0.000
Residual 66.69 57 0.15
Total 171.69 63
The Global Test is significant because it is lower than 0.05. So, this model can be used to analyze this framework.
Coefficients (Intention to purchase)
Unstandardized Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
(Constant) 0.69 0.13 0.00 5.19 0.000
Attitude Toward the Brand 0.31 0.04 0.32 7.41 0.000
Self-image 0.13 0.03 0.15 3.97 0.000
Coefficients (Intention to purchase) (cont.) Unstandardized
Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
Consumer Value 0.24 0.04 0.26 5.90 0.000
Brand Reputation 0.18 0.04 0.19 4.42 0.000
Social Media Influencer (Online advertising)
0.05 0.03 0.06 1.55 0.123
Integrated Marketing Communication
(Offline advertising)
-0.04 0.03 -0.05 -1.31 0.190
According to the above tables, there are various independent variables that affect on intention to purchase. First, there is a significant relationship between intention to purchase and attitude toward the brand is 0.000, which is less than 0.05.
Therefore, these two variables significantly related. The strong of relationship is at 0.32. So, the hypothesis (H1); attitude toward the brand has positive impact on the intention to purchase, is accepted. Second, there is a significant relationship between intention to purchase and self-image. The strong relationship between these two variables is 0.15. So, the hypothesis (H2); self-image has a positive impact on the intention to purchase, is accepted. Third, there is a significant relationship between intention to purchase and consumer value. The strong relationship between intention to purchase and consumer value is 0.26. Therefore, the hypothesis (H3); consumer value has a positive impact on the intention to purchase, is accepted. Forth, there is a significant relationship between intention to purchase and brand value. The strong relationship between these two factors is 0.19. Therefore, the hypothesis (H4); the brand value has a positive impact on the intention to purchase, is accepted.
However, there is no significant relationship between intention to purchase and social media influencer. Therefore, the hypothesis (H5); the brand value has a
positive impact on the intention to purchase, is rejected. Moreover, there is no significant relationship between intention to purchase and integrated marketing communication or macro-influencer. Therefore, the hypothesis (H6); the integrated marketing communication has a positive impact on the intention to purchase, is rejected.
In conclusion, the most influential variable that effect the intention to purchase is attitude toward the brand followed by consumer value and brand reputation. The weakness variable that effect intention to purchase is self-image.
Table 4.25 Regression (H7)
Model Summary (Brand Reputation)
R R Square Adjusted R Square Std. Error of the Estimate
0.55 0.30 0.30 0.54
The R Square of this model is 0.30 which means the all correlation between the social media influencer and the brand reputation is trustable.
ANOVA (Brand Reputation) Sum of Squares
df Mean
Square
F Sig.
Regression 59.19 1 59.19 201.76 0.000
Residual 135.54 462 0.29
Total 194.73 463
The Global Test is significant because it is lower than 0.05. So, this model can be trusted to analyze this framework.
Coefficients (Brand Reputation)
Unstandardized Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
(Constant) 2.23 0.11 0.00 20.19 0.000
Social Media Influencer 0.43 0.03 0.55 14.20 0.000
According to the above tables, there is a significant relationship between brand reputation and social media influencer is 0.000 which is less than 0.05.
Therefore, it is statistically significant, it is confident in the measurement of the coefficients. The strong of relationship is at 0.55. So, the hypothesis (H7); social media influencer has positive impact on brand reputation, is accepted.
Table 4.26 Regression (H8)
Model Summary (Brand Reputation)
R R Square Adjusted R Square Std. Error of the Estimate
0.44 0.20 0.20 0.58
The R Square of this model is 0.20 which means the all correlation between the social media influencer and the brand reputation is high.
ANOVA (Brand Reputation) Sum of Squares
df Mean
Square
F Sig.
Regression 38.35 1 38.35 113.31 0.000
ANOVA (Brand Reputation) (cont.) Sum of
Squares
df Mean
Square
F Sig.
Residual 156.37 462 0.34
Total 194.73 463
The Global Test is significant because it is lower than 0.05. So, this model can be used to analyze this framework.
Coefficients (Brand Reputation)
Unstandardized Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
(Constant) 2.43 0.13 0.00 18.96 0.000
Integrated Marketing Communication
0.37 0.03 0.44 10.64 0.000
From the above tables, there is a significant relationship between brand reputation and integrated marketing communication is 0.000, which is less than 0.05.
Therefore, there is a statistically significant in the measurement of the coefficients.
The strong of relationship is at 0.44. So, the hypothesis (H8); Integrated Marketing Communication has positive impact on brand reputation, is accepted.
According to the objective of this study is to understand the difference between micro-influencer and macro-influencer that effect on purchasing the cosmetic product. Therefore, this research has compared between the impact of these two variables.
Table 4.27 Regression (Social Media Influencer and Integrated Marketing communication)
Model Summary (Intention to Purchase)
R R Square Adjusted R Square Std. Error of the Estimate
0.53 0.28 0.27 0.52
The R Square of this model is 0.28 and adjusted R Square is 0.27 which mean the all correlation between the social media influencer, integrated marketing communication and intention to purchase can be used.
ANOVA (Brand Reputation) Sum of Squares
df Mean
Square
F Sig.
Regression 47.75 2 23.87 88.79 0.000
Residual 123.95 461 0.27
Total 171.69 463
The Global Test is significant because it is lower than 0.05. So, this model can be trusted.
Coefficients (Intention to Purchase)
Unstandardized Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
(Constant) 2.59 0.12 0.00 20.82 0.000
Social Media Influencer 0.31 0.04 0.42 8.84 0.000
Coefficients (Intention to Purchase) (cont.) Unstandardized
Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
Integrated Marketing Communication
0.13 0.04 0.16 3.36 0.001
There is a relationship between social media influencer from micro- influemcer and intention to purchase. Moreover, there is also a relationship between integrated marketing communication from macro-influencer and intention to purchase.
However, the relationship between social media influencer from micro- influencer is stronger than integrated marketing communication.