The Effects of Luxury Brand Influencer Characteristics on Self-Brand Connection: Focused on Consumer Perception
Abstract
:1. Introduction
2. Theoretical and Empirical Background
2.1. Use and Gratification Theory and SOR Model
2.2. Social Media and Influencer Marketing
2.3. Influencer Characteristics
2.4. Consumer Needs Satisfaction
3. Hypotheses and Theoretical Model
3.1. Hypotheses
3.2. Research Model
4. Research Methodology
4.1. Operational Definition and Measurement of Variables
4.2. Survey Procedure and Data Collection
5. Results
5.1. Descriptive Statistics
5.2. Measurement Validity
6. Hypothesis Testing
Moderating Effects of Self-Identification and Product Fit
7. Conclusions and Implications
7.1. Conclusions
7.2. Implications
7.3. Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Index (n = 500) | Frequency | % | |
---|---|---|---|
Sex | Male | 282 | 56.4 |
Female | 218 | 43.6 | |
Years | 20–29 years | 90 | 18 |
30–39 | 120 | 24 | |
40–49 | 153 | 30.6 | |
Over 50 years | 137 | 27.4 | |
Education level | High school level | 89 | 17.8 |
College students | 38 | 7.6 | |
College level | 338 | 67.6 | |
Graduate school level | 35 | 7 | |
Monthly income | Below US$2000 | 88 | 22 |
$2000–3000 | 110 | 24 | |
$3000–4000 | 120 | 17.6 | |
$4000–5000 | 79 | 15.8 | |
Over US$5000 | 103 | 20.6 |
Variables (Cronbach’s Alpha) | Items | Communality | Factor | |||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |||
Attractiveness (0.922) | AT1 | 0.782 | 0.801 | |||||||
AT2 | 0.811 | 0.802 | ||||||||
At3 | 0.801 | 0.811 | ||||||||
Expertise (0.820) | EX1 | 0.649 | 0.823 | |||||||
EX2 | 0.737 | 0.801 | ||||||||
Ex3 | 0.735 | 0.793 | ||||||||
Reliability (0.840) | RE1 | 0.638 | 0.733 | |||||||
RE2 | 0.718 | 0.702 | ||||||||
RE3 | 0.648 | 0.711 | ||||||||
Autonomy (0.803) | Au1 | 0.782 | 0.832 | |||||||
Au2 | 0.817 | 0.851 | ||||||||
Au3 | 0.808 | 0.829 | ||||||||
Relatedness (0.845) | Rel1 | 0.649 | 0.793 | |||||||
Rel2 | 0.738 | 0.784 | ||||||||
Rel3 | 0.735 | 0.763 | ||||||||
Competence (0.895) | CO1 | 0.631 | 0.730 | |||||||
CO2 | 0.715 | 0.690 | ||||||||
CO3 | 0.643 | 0.732 | ||||||||
Self-brand connection (0.880) | SBC1 | 0.813 | 0.690 | |||||||
SBC2 | 0.875 | 0.860 | ||||||||
SBC3 | 0.805 | 0.810 | ||||||||
SBC4 | 0.820 | 0.692 | ||||||||
Word-of-mouth intention (0.842) | WMI1 | 0.813 | 0.756 | |||||||
WMI2 | 0.829 | 0.804 | ||||||||
WMI3 | 0.824 | 0.770 | ||||||||
Eigenvalues | 13.79 | 4,45 | 1.58 | 1.41 | 1.38 | 1.32 | 1.29 | 1.19 | ||
% of variance | 28.4 | 14.7 | 9.58 | 8.21 | 7.08 | 4.77 | 4.13 | 3.15 | ||
Total variance extracted | 28.3 | 43.1 | 52.7 | 60.9 | 68.1 | 72.8 | 76.0 | 80.1 |
Factor | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
ATT | 0.653 | |||||||
EXP | 0.403 | 0.698 | ||||||
RELI | 0.332 | 0.397 | 0.642 | |||||
AUTO | 0.345 | 0.349 | 0.333 | 0.679 | ||||
RELAT | 0.381 | 0.307 | 0.338 | 0.282 | 0.695 | |||
COMP | 0.161 | 0.211 | 0.248 | 0.152 | 0.584 | 0.687 | ||
SBC | 0.110 | 0.169 | 0.275 | 0.158 | 0.593 | 0.253 | 0.597 | |
WMI | 0.211 | 0.178 | 0.273 | 0.179 | 0.432 | 0.213 | 0.312 | 0.683 |
H | Paths | Coefficients |
---|---|---|
H1-1 | Attractiveness → SBC | 0.217 *** (0.282)/z = 6.593 |
H1-2 | Expertise → SBC | 0.222 *** (0.282)/z = 5.326 |
H1-3 | Reliability → SBC | 0.504 *** (0.527)/z = 13.284 |
H2-1 | Autonomy → SBC | 0.061 (0.089)/z = 1.086, p = 0.278 |
H2-2 | Relatedness → SBC | 0.529 *** (0.581)/z = 12.99 |
H2-3 | Competence → SBC | 0.216 *** (0.317)/z = 3.900 |
H3 | SBC → Mouth of intention | 0.895 *** (0.857)/z = 42.44 |
H | Path | Path Coefficient | χ2 Modification | |
---|---|---|---|---|
High Self-Identification | Low Self-Identification | |||
H4-1 | ATT -> SBC | 0.335 (0.321)/z = 5.979 | 0.225 (0.171)/z = 3.830 | Δχ2 = 1.676, p = 0.094 |
H4-2 | EXP -> SBC | 0.146 (0.133)/z = 2.445 | 0.081 (0.051/z = 1.051 | Δχ2 = 3.149, p = 0.002 |
H4-3 | REL -> SBC | 0.543 (0.301)/z = 6.320 | 0.342 (0.359)/z = 5.957 | Δχ2 = 5.963, p = 0.000 |
H5-1 | AUT -> SBC | 0.341 (0.322)/z = 6.001 | 0.232 (0.171)/z = 3.760 | Δχ2 = 1.172, p = 0.242 |
H5-2 | RELA -> SBC | 0.140 (0.130)/z = 2.443 | 0.073 (0.046)/z = 1.044 | Δχ2 = 7.267, p = 000 |
H5-3 | COM -> SBC | 0.549 (0.310)/z = 6.650 | 0.375 (0.358)/z = 5.956 | Δχ2 = 5.905, p = 0.000 |
H | Path | Path coefficient | χ2 modification | |
High product fit | Low product fit | |||
H6-1 | ATT -> SBC | 0.457 (0.421)/z = 7.654 | 0.129 (0.082)/z = 1.910 | Δχ2 = 4.379, p = 0.000 |
H6-2 | EXP -> SBC | 0.179 (0.167)/z = 3.113 | 0.183 (0.110)/z = 2.400 | Δχ2 = 0.916, p = 0.360 |
H6-3 | REL -> SBC | 0.294 (0.301)/z = 2.741 | 0.433 (0.333)/z = 6.020 | Δχ2 = 7.465, p = 0.000 |
H7-1 | AUT -> SBC | 0.454 (0.420)/z = 7.632 | 0.420 (0.481)/z = 1.922 | Δχ2 = 0.375, p = 0.708 |
H7-2 | RELA -> SBC | 0.571 (0.263)/z = 7.100 | 0.182 (0.111)/z = 2.421 | Δχ2 = 12.15, p = 0.000 |
H7-3 | COM -> SBC | 0.320 (0.325)/z = 4.763 | 0.433 (0.338)/z = 6.020 | Δχ2 = 2.710, p = 0.007 |
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Yu, J.; Liang, M.; Jin, C.-H. The Effects of Luxury Brand Influencer Characteristics on Self-Brand Connection: Focused on Consumer Perception. Sustainability 2023, 15, 6937. https://doi.org/10.3390/su15086937
Yu J, Liang M, Jin C-H. The Effects of Luxury Brand Influencer Characteristics on Self-Brand Connection: Focused on Consumer Perception. Sustainability. 2023; 15(8):6937. https://doi.org/10.3390/su15086937
Chicago/Turabian StyleYu, Jianwei, Meili Liang, and Chang-Hyun Jin. 2023. "The Effects of Luxury Brand Influencer Characteristics on Self-Brand Connection: Focused on Consumer Perception" Sustainability 15, no. 8: 6937. https://doi.org/10.3390/su15086937
APA StyleYu, J., Liang, M., & Jin, C. -H. (2023). The Effects of Luxury Brand Influencer Characteristics on Self-Brand Connection: Focused on Consumer Perception. Sustainability, 15(8), 6937. https://doi.org/10.3390/su15086937