Author Name: Soham Patare
1. Introduction
Fast fashion brands have transformed the global apparel industry by offering trendy clothing at affordable prices with rapid production cycles. In India, brands such as Zara, H&M, Shein, and Forever 21 compete intensely for young consumers. Understanding customer ratings helps identify perceived differences among these brands and supports data-driven decision-making.
2. Objectives of the Study
• To analyze customer ratings of selected fast fashion brands.
• To compare average ratings of Zara, H&M, Shein, and Forever 21.
• To examine whether a significant difference exists among brand ratings using one-way ANOVA.
3. Data Collection
The data for this study were collected through customer ratings on a scale of 1 to 10 for four major fast fashion brands.
4. Sample Design
Sample Size: 160 observations
Brands Studied:
Zara
H&M
Shein
Forever 21
Responses per Brand: 40
Rating Scale: 1 (lowest) to 10 (highest)
5. Statistical Tool Used
One-way Analysis of Variance (ANOVA) was used to test whether significant differences exist in mean customer ratings among the selected fast fashion brands.
6. Hypotheses
Null Hypothesis (H₀): There is no significant difference in mean customer ratings among Zara, H&M, Shein, and Forever 21.
Alternative Hypothesis (H₁): There is a significant difference in mean customer ratings of at least one fast fashion brand.
7. Data Analysis and Results
Summary Statistics
|
Brand |
Count |
Sum |
Average |
Variance |
|
Zara |
40 |
287 |
7.18 |
1.89 |
|
H&M |
40 |
284 |
7.1 |
2.45 |
|
Shein |
40 |
248 |
6.2 |
4.37 |
|
Forever 21 |
40 |
231 |
5.78 |
1.97 |
ANOVA Result:
F-value = 7.065
P-value = 0.0002
Interpretation
Since the p-value is less than 0.05, the null hypothesis is rejected. There is a significant difference in customer ratings among fast fashion brands.
8. Conclusion
The study reveals that customers perceive differences among fast fashion brands in terms of satisfaction and preference. These differences may arise due to factors such as pricing, trend responsiveness, product quality, and brand image. The findings can help retailers improve strategies to enhance customer satisfaction and competitiveness.