Luxury Purchase Motivation: Findings and Discussions
To facilitate analysis using linear regression on SPSS, the data collected was aggregated to measure each construct. Questions relating to perceived conspicuousness were aggregated together by summing their individual scores across each study partcipant. The same was done for other variables namely perceived uniqueness, perceived quality, perceived hedonism, and perceived extend self. Ultimately, scores for overall personal perceptions and overall bob personal perceptions were obtained through summation of the corresponding individual sub scales. As for the dependent variables consumer perceived value and consumer purchase motivation, the scores were rated by the individuals on a scale of 1 to 5 to correspond to low to high levels of value and motivation respectively.
Hypothesis 1
The first hypothesis sought to establish the relationship between non personal perceptions and luxury purchasing motivation. Hypothesis 1 was stated as: Non-personal perceptions significantly influence student’s luxury purchasing motivation. The hypothesis was broken into individual variables of perception as H1a, H1b and H1c as defined below:
Hypothesis1a:Perceived conspicuousness significantly influences student’s luxury purchasing motivation.
Hypothesis1b:Perceived uniqueness significantly influences student’s luxury purchasing motivation.
Hypothesis1c: Perceived quality significantly influences student’s luxury purchasing motivation.
Regression analysis was run between the independent variables and dependent variables of non personal perceptions and luxury purchasing motivation among 100 Chinese overseas students. The summarized SPSS output is presented in the table below
Coefficientsa
Summary
ANOVA
Model
Unstandardized Coefficients
B
Standardized Coefficients
Std. Error
t
Beta
Sig.
R
R Square
df
Mean Square
F
Sig.
H1
(Constant)
Non personal perceptions
1.494
.084
.705
.039
.211
2.119
2.134
.037
.035
.211
.044a
1
98
8.298
1.823
4.553
.035
H1a
(Constant)
Perceived Conspicuousness
2.955
.005
.331
.100
.005
8.937
.051
.000
.959
.005
.000a
1
98
.005
1.907
.003
.959
H1b
(Constant)
Perceived uniqueness
2.209
.132
.427
.070
.187
5.171
1.880
.000
.033
.187
.035a
1
98
6.506
1.841
3.534
.033
H1c
(Constant)
2.322
.489
4.752
.000
.138
.019a
1
3.563
1.905
.017
Perceived quality
.074
.053
.138
1.380
.017
98
1.871
a. Dependent Variable: Purchase motivation
From hypothesis 1 (H1), the study found that there was a statistically significant relationship between non personal perceptions and luxury purchase motivation with p = 0.035 (p < 0.05) with non personal perceptions explaining up to 4.4% of variance in luxury purchase motivation (R2 = 0.044) hence H1 was found to be true thus accepted.
As for the individual perceptions, the analysis showed that perceived conspicuousness (H1a) did not significantly influence luxury purchase as p = 0.959 (p>0.05) hence H1a was not found to be true thus rejected. However, perceived uniqueness (H1b) with p = 0.033 and perceived quality (H1c) with p = 0.017 were found to statistically significantly influence luxury purchase motivation with perceived uniqueness explaining 3.5% of variance and perceived quality explaining 1.9% of variance in luxury purchase motivation respectively.
Hypothesis 2
The second hypothesis is aimed at investigating overseas Chinese students whether exist significant non-personal perceptions for conspicuousness (H2a), uniqueness (H2b) and quality (H2c)in luxury consumption.
Hypothesis2:Overseas Chinese students exist significant non-personal perceptions.
Hypothesis2a:Overseas Chinese students exist significant perceived conspicuousness value.
Hypothesis2b:Overseas Chinese students exist significant perceived uniqueness value.
Hypothesis2c:Overseas Chinese students exist significant perceived quality value.
The findings are tabulated below:
Coefficientsa
Summary
ANOVA
Model
Unstandardized Coefficients
B
Standardized Coefficients
Std. Error
t
Beta
Sig.
R
R Square
df
Mean Square
F
Sig.
H2
(Constant)
Non personal perceptions
1.265
.094
.683
.038
.241
1.850
2.453
.067
.016
.241a
.058
1
98
10.308
1.713
6.017
.016
H2a
(Constant)
Perceived Conspicuousness
3.117
-.069
.322
.098
-.071
9.681
-.708
.000
.481
.071a
.005
1
98
.907
1.809
.501
.481
H2b
(Constant)
Perceived uniqueness
2.077
.144
.415
.068
.209
5.005
2.116
.000
.037
.209a
.044
1
98
7.783
1.739
4.476
.037
H2c
(Constant)
Perceived quality
1.985
.105
.472
.052
.202
4.206
2.042
.000
.044
.202a
.041
1
98
7.274
1.744
4.171
.044
a. Dependent Variable: Consumer's perceived value
Overall, non personal perceptions were found to statistically influence overseas Chinese students perceived quality value with p = 0.016 (p > 0.05) explaining up to 5.8% of variance in the dependent variable (R2 = 0.058). Thus H2 was found to be true and hence, accepted.
Individually, perceived conspicuousness did not have any statistically significant influence on perceived luxury quality value (p = 0.481; p > 0.05) thus contradicting hypothesis H2a. However, perceived uniqueness (p = 0.037; p < 0.05) and perceived quality (p = 0.044; p < 0.05) were found to statistically significantly influence perceived luxury value explaining 4.45 (R2 = 0.044) and 4.1% (R2 = 0.041) respectively. Therefore, H2b and H2c were found to be true and accepted.
Hypothesis 3
The third hypothesis is aimed at investigating that overseas Chinese student’ personal perceptions have a significant influence on luxury purchase motivation. The hypotheses were defined to include the overall personal perceptions and the individual personal perceptions as presented below.
Hypothesis3:Personal perceptions significantly influence student’s luxury purchasing motivation.
Hypothesis3a:Perceived hedonism significantly influences student’s luxury purchasing motivation.
Hypothesis3b:Perceived extended self significantly influences student’s luxury purchasing motivation.
The results of the regression analysis are presented in the summary table below.
Coefficientsa
Summary
ANOVA
Model
Unstandardized Coefficients
B
Standardized Coefficients
Std. Error
t
Beta
Sig.
R
R Square
df
Mean Square
F
Sig.
H3
(Constant)
Personal perceptions
2.288
.046
.612
.040
.115
3.742
1.144
.000
.256
.115a
.013
1
98
2.461
1.882
1.308
.256
H3a
(Constant)
Perceived hedonism
2.199
.064
.599
.049
.132
3.674
1.322
.000
.189
.132a
.018
1
98
3.277
1.874
1.749
.189
H3b
(Constant)
Perceived extend self
2.942
.010
.293
.094
.011
10.055
.110
.000
.913
.011a
.000
1
98
.023
1.907
.012
.913
a. Dependent Variable: Purchase motivation
From the results, it emerged that personal perceptions did not have any statistically significant influence on luxury purchase motivation (p = 0.256; p > 0.05). Similarly, for the specific hypotheses H3a, H3b and H3c, it was found that they did not have any statistically significant influence on luxury purchase motivation. Consequently, hypotheses H3, H3a and H3b were rejected.
Hypothesis 4
Regarding hypothesis 4, the study aimed at investigating overseas Chinese students whether exist significant personal perceptions for hedonic (H4a) and extended self (H4b) in luxury consumption. The hypotheses are shown below
Hypothesis4: Overseas Chinese students exist significant personal perceptions.
Hypothesis4a: Overseas Chinese students exist significant perceived hedonic value.
Hypothesis4b: Overseas Chinese students exist significant perceived extended self value.
The findings are tabulated below.
Coefficientsa
Summary
ANOVA
Model
Unstandardized Coefficients
B
Standardized Coefficients
Std. Error
t
Beta
Sig.
R
R Square
df
Mean Square
F
Sig.
H4
(Constant)
Personal perceptions
2.622
.020
.600
.040
.050
4.367
.493
.000
.623
.050a
.002
1
98
.440
1.814
.243
.623
H4a
(Constant)
Perceived hedonism
2.383
.044
.587
.048
.093
4.059
.922
.000
.359
.093a
.009
1
98
1.531
1.803
.849
.359
H4b
(Constant)
Perceived extend self
3.067
-.057
.285
.092
-.063
10.758
-.625
.000
.533
.063a
.004
1
98
.707
1.811
.391
.533
a. Dependent Variable: Consumer's perceived value
There was no statistically significant influence of personal perceptions on luxury consumption with p = 0623 for the overall personal perception and p = 0.359 for H4a and 0.91 for H4b. thus hypothesis four found not to be true hence rejected.
Hypothesis 5
The fifth hypothesis is aimed at investigating the influence between overseas Chinese students’ luxury perceived value and purchase motivation in luxury consumption.
The regression analysis output is presented in the table.
Coefficientsa
Summary
ANOVA
Model
Unstandardized Coefficients
B
Standardized Coefficients
Std. Error
t
Beta
Sig.
R
R Square
df
Mean Square
F
Sig.
H5
(Constant)
Consumer's perceived value
3.187
-.074
.330
.103
-.073
9.647
-.722
.000
.002
.922a
.085
1
98
.988
1.897
.521
.002
a. Dependent Variable: Purchase motivation
From the analysis, consumer’s perceived value of the luxury product statistically significantly explains purchase motivation with p = 0.002 (p < 0.05) explaining up to 8.5% of variance in the dependent variable (R2 = 0.085).
Conclusion
From the findings we conclude that:
Personal perceptions significantly influence luxury purchase motivation and that perceived conspicuousness does not significantly influence luxury purchase. However, perceived uniqueness and perceived quality, statistically significantly influence luxury purchase motivation.
Personal perceptions were found to statistically influence overseas Chinese students perceived quality value. Individually, perceived conspicuousness did not have any statistically significant influence on perceived luxury while perceived uniqueness and perceived quality statistically significantly influence perceived luxury.
Personal perceptions do not statistically significantly influence luxury purchase motivation. Further, for the specific hypotheses H3a, H3b and H3c, it was found that perceived hedonism and perceived extend self do not statistically significantly influence luxury purchase motivation.
There is no statistically significant influence of personal perceptions on luxury consumption. However, the overall consumer’s perceived value of the luxury product statistically significantly explains purchase motivation.
Reference
Linear Regression. (2013). Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition. doi:10.1201/b15605-12
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