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Customer satisfaction level of footwear companies in bangladesh
1. A Study on Consumer Satisfaction of
Footwear Products in Bangladesh.
Statistical Analysis
Smartinies 11/10/18 Statistics 2
2. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 1
A Study on Consumer Satisfaction of Footwear
Products in Bangladesh.
Submitted to:
Koushik Prashad Pathak, Assistant Professor.
Department of Marketing,
Faculty of Business Studies
University of Dhaka.
Submitted by:
Smartinies
Section: A
Department of Marketing
Submission Date:11-10-2018
3. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 2
November 1,2018
Koushik Prashad Pathak,
Department of marketing.
University of Dhaka.
Dear Koushik Prashad Pathak,
As agreed on 28 october, we are submitting the attached report entitled “A Study on Consumer Satisfaction
of Footwear Products in Bangladesh.” This report examines the current level of consumer satisfaction with the
footwear brands in Bangladesh with a few statistical analysis. And interprets the result with simple terms.
I hope you find this report satisfactory.
Sincerely yours,
Khondoker Sadman Sakib,
Representative of Smartinies.
MKT-222, Sec-A
Department of marketing.
University of Dhaka.
ACKNOWLEDGEMENTS
We cannot express enough gratitude to the almighty for giving us enough
strength to finish this report.
4. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 3
Our completion of this report could not have been accomplished without
the support of the team members, Sami, Tisha, Anif, Eva, Rimon Thank you
for your heartiest efforts.
And, we offer respect to the teacher who gave us this task and guidance,
Koushik Prashad Pathak.
Group Profile-Smartinies
Name ID Email
Khondoker Sadman Sakib JH-26-093 Shadmanankon5@gmail.com
Tisha Chakraborty SK-26-013 Tishackb51@gmail.com
Anif Nawaz SM-26-085 anif.nishad@gmail.com
Eva Das RH-26-047 daseva25@gmail.com
MD. Raihan Uddin ZR-26-248 rimon.raihan77@gmail.com
Rafiur Rahman Sami ZR-26-05 rrsami40@gmail.com
5. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 4
Summary
Our research team, Smartinies conducted a survey online through questionnaires in order to gather necessary
data to determine the satisfaction level of the footwear users of Bangladesh. We took a random sample of 80
consumers from different backgrounds and used the information provided by them to form our database.
Then we analyzed the data with various statistical methods like one sample test, two sample test, Anova test,
Correlation and Linear regression. And we interpreted the result to draw a conclution.
6. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 5
Table of Contents
Summary..................................................................................................................................................4
Introduction to The Footwear Industry of Bangladesh.................................................................................6
Various Renowned Brands and products....................................................................................................6
Awards and Achievements.........................................................................................................................6
Questionnaire...........................................................................................................................................6
A Survey on The Level of Customer Satisfaction of Footwear Brands in Bangladesh ....................................................................................................................7
Give marks to your current Footwear Brand according to your satisfaction level in each criteria .....................................................................................8
Demographic Statistics..............................................................................................................................9
Descriptive Statistics............................................................................................................................... 10
One Sample Test..................................................................................................................................... 11
Two Sample Test..................................................................................................................................... 11
ANOVA Test...........................................................................................................................................12
Correlations Analysis................................................................................................................................13
Linear Regression.................................................................................................................................... 14
Conclusion..............................................................................................................................................15
7. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 6
Introduction to The Footwear Industry of Bangladesh
Because of an ample supply of raw ingredients as well as labor, the footwear industry of Bangladesh has
flourished for a long time. It is taking care of local needs and making foreign export currency.
Japan and Germany are now the biggest markets for Bangladeshi footwear but US buyers are increasingly
showing interest in sourcing from Bangladesh.
Various Renowned Brands and products
According to Bangladesh Brand Forum, the top 3 brands of footwear are Bata, Apex and lotto. A few noticable
other footwear manufacturing units are Bay Footwear, Excelsior Shoes, and Paragon Leather and Footwear
Industries. There are numerous other local brands in the market with a significant market share.
Bangladesh has a host of potential products that can earn substantially large amounts of foreign exchange, if
only the necessary patronage from the overseas buyers is given for the sake of expanding the country’s export
base and thereby reach a sustainable status for the country’s export trade.
Awards and Achievements
In November 22,2014 the Bangladesh Brand Forum organized a Best Brand Award Ceremony that saw Bata
Bangladesh crowned No.1 in footwear. Apex: More than two decades ago,the journey of Apex Footwear
Limited started. "Apex" means the peak or the Zenith. Apex Bangladesh is an international service
organization.Their shoe design inspiration is taken from latest international footwear trend. Apex Bangladesh
received "Dun & Bradstreet Rating Agency Award "as one of Bangladesh's top 500 companies. It also got the
prestigious MCCI Centenary footwear award.
Questionnaire
8. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 7
A Survey on The Level of CustomerSatisfaction of FootwearBrands in
Bangladesh
* Required
1. Age *
Mark only one oval.
Below 15
16-25
26-35
36-45
46-55
Above 56
2. Gender * Mark only one oval.
Male
Female
3. Current Occupation * Mark only one oval.
Businessmen
Teacher
Doctor
Lawyer
Corporate Employee
Student
Government Employee
Other:
4. Rank the
main thingsyou emphasise on while purchasing a new
footwear product. (1st being the most important and 5th
being the least important) * Mark only one oval per row.
5. How much do you spend on your footwear products, in each
year? * Mark only one oval.
1st 2nd 3rd 4th 5th
Price
Brand
Durability
Comfort
Design
9. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 8
Less than 1000
1000-1500
1500-2000
2000-2500
2500-3000
More than 3000
6. The Brand of Footwear you're currently using * Mark only one
oval.
Bata
Apex
Others
7. Are you Satisfied with your current footwear? * Mark only one
oval.
Yes
No
Maybe
Give marks to your current FootwearBrand according to your satisfaction
level in each criteria
1= Highly Dissatisfied
2= Dissatisfied
3= Neutral
4= Satisfied
5= Highly Satisfied
8. Comfort * Mark only one
oval.
1 2 3 4 5
9. Design * Mark only one
oval.
1 2 3 4 5
10. Price * Mark only one oval.
1 2 3 4 5
Highly Dissatisfied Highly Satisfied
Highly Dissatisfied Highly Satisfied
10. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 9
11. Durability * Mark only one
oval.
1 2 3 4 5
12. Size Availability in a Store
* Mark only one oval.
1 2 3 4 5
Demographic Statistics
Highly Dissatisfied Highly Satisfied
Highly Dissatisfied Highly Satisfied
Highly Dissatisfied Highly Satisfied
11. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 10
Descriptive Statistics
Brands N Minimum Maximum Mean Std. Deviation
Apex 23 13.00 25.00 18.6522 2.80598
Bata 25 15.00 25.00 19.3200 2.86822
Others 32 5.00 25.00 16.9375 4.72425
Valid N (listwise) 23
12. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 11
Here sample size of Apex is 23, Bata is 25 & other brands is 32. Mean number of Apex’s customer satisfaction
ratings is 18.6522. Bata have a little bit higher mean with 19.3200 mean number. Other brands have 16.9375
mean number. Standard deviation in Apex’s customer satisfaction ratings is 2.80598. Bata have almost same
but a little bit higher standard deviation of 2.86822. Other brands have 4.72425 standard deviation in their
customer satisfaction ratings.
One Sample Test
Case: Is the mean satisfaction level of BATA, different from 18? (Level of Significance: 0.05)
One-Sample Statistics
N Mean Std. Deviation
Std. Error
Mean
Bata 25 19.3200 2.86822 .57364
One-Sample Test
Test Value = 18
t df Sig. (2-tailed)
Mean
Difference
95% Confidence Interval of the
Difference
Lower Upper
Bata 2.301 24 .030 1.32000 .1361 2.5039
Since Ptab = 0.05> Pcal = 0.030, we reject the null hypothesis that the sample mean ism, equal to the hypothesized
population mean and conclude that the mean satisfaction level of Bata user is significantly different than 18.
Two Sample Test
Case: Is there any difference in the mean satisfaction level of BATA and Apex? (Level of Significance: 0.05)
13. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 12
Group Statistics 2 Sample Test
Satisfaction N Mean Std. Deviation
Std. Error
Mean
Brands Bata 25 19.3200 2.86822 .57364
Apex 23 18.6522 2.80598 .58509
Independent Samples Test 2 Sample Test
Levene's Test for
Equality of
Variances t-test for Equality of Means
F Sig. t df
Sig.
(2-
tailed
)
Mean
Differen
ce
Std.
Error
Differen
ce
95% Confidence
Interval of the
Difference
Lowe
r Upper
Bran
ds
Equal
variances
assumed
.044 .835 .814 46 .420 .66783 .82015 -
.983
05
2.31871
Equal
variances
not
assumed
.815 45.8
16
.419 .66783 .81939 -
.9816
9
2.31734
Here null hypothesis is, there is no difference in the satisfaction level between Bata and Apex. This is a 2
tailed test where t-test is used. Confidence interval is 95% which means significance level is 5% or 0.05. As
we know, if p-value is greater than significance level, null hypothesis will be rejected. Here, p-value in both
cases is greater than significance level (0.420>0.05 & 0.419>0.05). So, null hypothesis will be rejected.
Therefore, we can conclude that, there is difference is the satisfaction level of Bata and Apex.
ANOVA Test
Case: Is there any difference in the mean satisfaction level of BATA, Apex and Others? ( Level of significance: 0.05)
Descriptives for ANOVA
Satisfaction
14. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 13
N Mean
Std.
Deviation Std. Error
95% Confidence Interval for
Mean
Minimum Maximum
Lower
Bound Upper Bound
Apex 23 18.6522 2.80598 .58509 17.4388 19.8656 13.00 25.00
Bata 25 19.3200 2.86822 .57364 18.1361 20.5039 15.00 25.00
Others 32 16.9375 4.72425 .83514 15.2342 18.6408 5.00 25.00
Total 80 18.1750 3.81461 .42649 17.3261 19.0239 5.00 25.00
ANOVA
Satisfaction
Sum of
Squares df Mean Square F Sig.
Between Groups 87.018 2 43.509 3.153 .048
Within Groups 1062.532 77 13.799
Total 1149.550 79
Here,
The sum of square of Treatments = 87.018
The sum of square of Errors = 1062.532
Numerator = 2
Denominator = 77
Sample size n= 79+1= 80
This is the table that shows the output of the ANOVA analysis and whether there is a statistically significant
difference between group means. We can see that, Ftab value= 3.07< Fcal value= 3.153. And, therefore, null
hypothesis will be rejected and there is a difference in the mean satisfaction level of Bata, Apex and other
footwear users.
Correlations Analysis
Case: Is there any relationship between Average Age and Average Expenditure in Footwear products?
15. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 14
Correlations Between Average Age and Average Expenditure
AvgAge AvgExp
AvgAge Pearson Correlation 1 -.029
Sig. (2-tailed) .800
N 80 80
AvgExp Pearson Correlation -.029 1
Sig. (2-tailed) .800
N 80 80
There is weak negative correlation between average age and average expenditure on footwear products. It
means there is a negative relationship between average age and average expenditure, but that is too weak. So
we can say that, with the increase of age of a footwear user creates a negative impact on total expense in
footwear product.
Linear Regression
Case: Regression Analysis between Average Age and Average Expenditure in Footwear products.
Variables Entered/Removeda
Model Variables Entered Variables Removed Method
1 AvgExpb
. Enter
a. Dependent Variable: AvgAge
b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .029a
.001 -.012 11.73414
a. Predictors: (Constant), AvgExp
ANOVAa
Model Sum of Squares Df Mean Square F Sig.
16. CONSUMER SATISFACTIONANALYSISIS
Departmentof Marketing.University of Dhaka.
PAGE 15
1 Regression 8.919 1 8.919 .065 .800b
Residual 10739.831 78 137.690
Total 10748.750 79
a. Dependent Variable: AvgAge
b. Predictors: (Constant), AvgExp
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 23.517 3.742 6.285 .000
AvgExp .000 .002 -.029 -.255 .800
a. Dependent Variable: AvgAge
Here,
The value of R= .029a
The value of R Square= .001
The relationship between the independent variable Average Expenditure and the dependent variable Average
Age was analyzed through regression. A very high weak is found.
Conclusion