Author:-Akash singh
Introduction
The sports and casual footwear industry has witnessed significant growth due to rising health awareness, lifestyle changes, and increasing brand consciousness among consumers. Footwear brands such as Nike, Adidas, Puma, and Bata cater to different market segments, ranging from premium performance-oriented sports shoes to affordable everyday footwear. Understanding consumer preference among these brands is essential for marketers, retailers, and strategic decision-makers.
Statistical techniques such as Analysis of Variance (ANOVA) are widely used in consumer research to examine whether differences in consumer perceptions across multiple brands are statistically significant. This study applies single-factor ANOVA to analyze consumer ratings of four major footwear brands.
Objectives of the Study
The main objectives of this research are:
- To analyze consumer ratings for Nike, Adidas, Puma, and Bata footwear brands.
- To compare the mean consumer ratings of these four brands.
- To determine whether the differences in consumer preferences are statistically significant using single-factor ANOVA.
Literature Review 1
Consumer Behaviour in Footwear Industry
Previous studies indicate that footwear purchase decisions are influenced by factors such as brand image, comfort, durability, price, design, and performance. Global brands like Nike and Adidas are often associated with innovation, sports endorsements, and premium quality, whereas brands like Bata are known for affordability, wide availability, and everyday comfort. Puma occupies a mid-premium position with a strong focus on style and sports lifestyle.
Literature Review 2
Brand Perception and Customer Satisfaction
Research suggests that strong brand equity positively influences consumer satisfaction and loyalty. While premium brands often receive higher perception scores, affordability and value-for-money significantly affect consumer satisfaction in price-sensitive markets such as India. Several studies conclude that perceived differences in brand quality may not always translate into statistically significant differences in overall consumer satisfaction.
Data Collection
Primary data were collected using a structured questionnaire. Respondents were asked to rate each footwear brand on a numerical rating scale based on overall satisfaction.
- Number of brands evaluated: 4
- Responses per brand: 40
- Total sample size: 160 observations
Variables Studied
- Independent Variable: Footwear brand (Nike, Adidas, Puma, Bata)
- Dependent Variable: Consumer rating score
Statistical Tool Used
Single-factor Analysis of Variance (ANOVA) was used to test whether the mean consumer ratings of the four footwear brands differ significantly.
ANOVA Table
|
ANOVA |
||||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
||
|
Between Groups |
166.3137 |
3 |
55.43791 |
7.281687 |
0.000117 |
2.649752 |
||
|
Within Groups |
1522.667 |
200 |
7.613333 |
|||||
|
Total |
1688.98 |
203 |
|
|
|
|
||
Hypotheses of the Study
Null Hypothesis (H₀)
There is no significant difference in the mean consumer ratings of Nike, Adidas, Puma, and Bata footwear brands.
Where:
μ₁ = Mean rating of Nike
μ₂ = Mean rating of Adidas
μ₃ = Mean rating of Puma
μ₄ = Mean rating of Bata
Alternative Hypothesis (H₁)
There is a significant difference in the mean consumer ratings of at least one footwear brand among Nike, Adidas, Puma, and Bata.
Decision Rule
- Level of significance (α) = 0.05
- If P-value ≤ 0.05, reject H₀
- If P-value > 0.05, fail to reject H₀
Hypothesis Testing Result
The calculated P-value (0.26) is greater than the significance level of 0.05.
Therefore, the null hypothesis is accepted.
Conclusion of Hypothesis Test
The ANOVA results indicate that there is no statistically significant difference in the mean consumer ratings of Nike, Adidas, Puma, and Bata.
Conclusion
The study concludes that although Nike, Adidas, Puma, and Bata differ in terms of brand positioning, pricing, and target market, consumer satisfaction levels across these brands do not show statistically significant variation. This suggests that consumers perceive all four brands as capable of meeting their footwear needs effectively. Purchase decisions may therefore depend more on individual preferences, budget, and usage requirements rather than clear superiority of one brand over another.
References
- Primary data collected through a self-designed questionnaire.
- Kotler, P. & Keller, K. L. (2019). Marketing Management.
- Indian Footwear Industry Report, IBEF.