On the Basis of Survey Conducted the Basic Information of the Readymade Garments

Q -1 On the basis of survey conducted the basic information of the Footwear are given that include the gender, age, Income.

GenderMalefemale

% of Respondent6090

Out of 150 respondents under the survey majority were Females. The total percentages of males are 40% and remaining 60% are females. Thus it can be concluded that Female customers constitute the majority of the buyers for Footwear.

AgeAge between 0-25Age between 25-50Age between 50 Above

% of Respondent655530

On the basis of survey, it is clear that customers in the age group of 25-50 form the major buyers for the Footwear, which is about 43%. This is followed by the age group 0-25, 37% and 50 and above 20%. It can be concluded that majority of the buyers are from age group of 25-50.IncomeNilIncome between 10k-20kIncome between 20k-30kIncome between 30k-40kIncome between 40k-50kIncome between 50k & above

% of Respondent151014432840

On the basis of survey, it is clear that customers in the income group of 30k to 40k are the major buyers for the Footwear, which is about 29%. This is followed by the income group of above 50k with 27% share and customers with 40K to 50K and above constitute the share of 19%. It can be concluded that majority of the buyers are from age group of 25-50.

Q-2 Are you A?

From this chart we infer that 70% respondents are Working professional, 40% respondents are Student and 40% respondents are Housewife.

Q-3 What attracts you most to a new untried brand of Footwear?

Q-4 Where do you generally buy Footwear from?

From this chart we infer that 50 respondents said they would like buy Footwear from company showroom, More, 45 respondents said that they would like buy footwear from Supermarket, 35 respondents said that they would like buy footwear from Wholesale market.18 respondents said that they would like buy footwear from Retail Market and 2 respondents said that they would like buy footwear from other sources.From this chart we infer that most of respondent like to buy Footwear from company showroom.

Q-5 How often do you purchase Footwear?

From this chart we can infer that, 48 respondents said they are purchasing Footwear once in year , 42 respondents said they are purchasing Footwear once in 6 month, 50 respondent said they are purchasing Footwear once in 2 year. 10 respondents said they are purchasing footwear once in month.From this chart we infer that most respondent said they purchase footwear once in 2 year.Q-6 what attracts most to a new untried brand of biscuits?

From the graph we can infer that, 50 respondents said Fashionable & Maintenance attracts most to a new untried brand of Footwear,43 respondents said variety attracts most to a new untried brand of Footwear,22 respondents said attracts Nice color most to a new untried brand of Footwear. 15 respondents said Cheaper attracts most to a new untried brand of Footwear, 20 respondents said Advertisement attracts most to a new untried brand of biscuits.

Q-7 Rank the following Product Attribute on consumer behavior in footwear market?Consideration in Factors Analysis:In a study sample size of 150 respondents were taken but it needed to be tested whether it is adequate or not for the study ,which was check value of mode through using of Kaiser Meyer olkin .measure of sampling ,adequacy and Bartletts test of spheres as shown in the Table 1.any value of more than 0.5 shows that the sample size is adequate .KMo value>0.5-0.7 shows that the sample size is adequate ..kmo value .0.5-0.7 shows mediocre sample size values >0.7 shows good sample and value >0.8shows great sample size. As the value kom is 0.750 in this study it shows that the sample adequacy is good.

Correlation matrix shows the simple correlation between all possible pairs of variables included in the analysis correlation coefficient between all the variables chosen for the study and the matrix has been used to study the pattern of relationship .after the re-evaluation it was concluded that there was no problem of singularity or high correlation in data as none of the correlation coefficient were greater than 0.8. To sum of all variables in the study correlate fairly well either negatively or positively and none of the correlation coefficient were greater than 0.8 .to sum up all variables in the study correlate fairly well either negatively or positively and none of the correlation coefficient s particularly large ,therefore there is no need to consider eliminating any variables at this stage.

Communalities

InitialExtraction

VAR000011.000.996

VAR000021.000.997

VAR000031.000.959

VAR000041.000.986

VAR000051.000.930

VAR000061.000.797

VAR000071.000.841

VAR000081.000.949

VAR000091.000.996

VAR000101.000.997

VAR000111.000.959

VAR000121.000.986

VAR000131.000.930

VAR000141.000.797

VAR000151.000.841

VAR000161.000.949

VAR000171.000.996

VAR000181.000.997

VAR000191.000.959

VAR000201.000.986

VAR000211.000.930

Extraction Method: Principal Component Analysis.

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

The table below shows the loadings of the 21 variables on the three factors extracted. The higher the absolute value of the loading, the more the factor contributes to the variable. Thus we have got our result of data reduction by reducing a set of 21 variable of in to a 6 component factor that have a high rating.

Component 1-Intrinsic & Extrinsic Attributes

IndicatorFactor LoadingExplanation

Price0.832Factors like price quality ,design ,fit comfort variety and brand name forms the intrinsic and extrinsic attributes of a footwear products .most of th factors play a very important role in this component because of their high factors scores .these factor influence the buying ,decision of the customers

quality0.88

Design0.785

fit0.843

comfort0.825

variety0.622

brand0.765

Component 2-Reliability


Duraability0.82Durability warranty reparability environmental friendly material and country of origin contributes very strongly to this component. Soreliability of the footwear products is one of the important factors which infiuence the customer choice set.

warranty0.794

raparability0.778

Environmental friendly material0.636

Country of origin 0.682

Component 2-Convenience


Availablity0.869Customers search for convenience & accessibility in their shopping option &product choice. At the same time they prefer easy maintenance product or rather hassle free product experience

Maintenance0.845

Component 4-Health Consciousness


Odourless0.832These customers want odour free & lightweight products. They dislike product which are heavier & have typical odour in products. So they are health conscious customers

Light weight0.88

Component 5-Fashion Consciousness & Aesthetics


Beautiful Packaging0.621These customers prefer beautiful packaging of the product, prefer nice colors & are very fashionable. They are quite fashion conscious & specific in their colour preference

Nice colours0.655

Fashionable0.832

Component 5-Fashion Consciousness & Aesthetics


Appearance0.856The appearance & look of the product play very important role in influencing the customer. These customers are influenced by advanced Technology & innovativeness in the product

Advance Technology0.784

Q.8 The following set of questions attempts to understand the general disposition of the respondent towards their footwear.

Please Rank the following on a scale of 1-5.My footwear affects my personality and appearanceI prefer more pairs of average quality footwear than few pairs of very good quality footwearI decide my footwear according to the clothes I want to wearI usually decide my footwear according to the occasionI decide my footwear according to the people I will aroundThe following set of questions attempt to understand the general disposition of the respondent towards shopping of footwear.KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy..605

Bartlett's Test of SphericityApprox. Chi-Square60.390

df10

Sig..000

Here the KMO is 0.605=0.5(approx.) indicates that it is a good idea to proceed with the factor analysis. This table basically tells us how much our factor analysis is justified in the correlation matrix

Anti-image Matrices

VAR00001VAR00002VAR00003VAR00004VAR00005

Anti-image CovarianceVAR00001.944.168.011.056-.125

VAR00002.168.792.089-.206-.168

VAR00003.011.089.981-.040.059

VAR00004.056-.206-.040.774-.253

VAR00005-.125-.168.059-.253.791

Anti-image CorrelationVAR00001.427a.194.012.065-.144

VAR00002.194.635a.101-.263-.212

VAR00003.012.101.559a-.046.067

VAR00004.065-.263-.046.623a-.324

VAR00005-.144-.212.067-.324.603a

a. Measures of Sampling Adequacy(MSA)

Communalities

InitialExtraction

VAR000011.000.880

VAR000021.000.608

VAR000031.000.083

VAR000041.000.588

VAR000051.000.666


I prefer more pairs of average quality footwear than few pairs of very good quality footwear has has better extraction compare to other component

Total Variance Explained

ComponentInitial EigenvaluesExtraction Sums of Squared Loadings

Total% of VarianceCumulative %Total% of VarianceCumulative %

11.75935.17535.1751.75935.17535.175

21.06621.31356.4881.06621.31356.488

3.99219.83376.321

4.61112.22288.543

5.57311.457100.000

Total Variance Explained

ComponentRotation Sums of Squared Loadings

Total% of VarianceCumulative %

11.71134.21234.212

21.11422.27756.488

3

4

5


Component Matrixa

Component

12

VAR00004.766

VAR00002.752-.204

VAR00005.717.391

VAR00003-.216-.191

VAR00001-.215.913

Extraction Method: Principal Component Analysis.a

a. 2 components extracted.

Reproduced Correlations

VAR00001VAR00002VAR00003VAR00004VAR00005

Reproduced CorrelationVAR00001.880a-.348-.128-.130.203

VAR00002-.348.608a-.123.568.459

VAR00003-.128-.123.083a-.172-.229

VAR00004-.130.568-.172.588a.563

VAR00005.203.459-.229.563.666a

ResidualbVAR00001.160.128.043-.139

VAR00002.160.009-.202-.145

VAR00003.128.009.155.139

VAR00004.043-.202.155-.169

VAR00005-.139-.145.139-.169


a. Reproduced communalities

b. Residuals are computed between observed and reproduced correlations. There are 8 (80.0%) nonredundant residuals with absolute values greater than 0.05.

Rotated Component Matrixa

Component

12

VAR00005.794.188

VAR00004.748-.166

VAR00002.672-.395

VAR00003-.258-.127

VAR00001.937

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component12

1.965-.264

2.264.965

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

Thus we have got our result of data reduction by reducing a set of 5 variable of in to a three component factor that have a high rating.

The following set of questions attempt to understand the respondent's preferences towards footwear stores and the importance of certain attributes while selecting a footwear retail store.*Q.9 Please rate the following on a scale of 1-5 I prefer to go to multi-branded outlets than stand-alone storesI prefer shopping at stores with all categories of footwear less than one roofVariety of brands is an important factor in choosing a footwear storeVariety of styles is an important factor in choosing a footwear storeI might go to a slightly less preferred store if it has good salesmenI like to shop in spacious footwear storesAn uncluttered display is an important factor in choosing a footwear storeAttractive window displays will make me enter a footwear storeI always buy from the same stores again and againI first visit the stores I prefer and then visit other stores

Documents

On the Basis of Survey Conducted the Basic Information of the Readymade Garments