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Factor Analysis Component Matrix
a
Component 1
2
3
4
5
Location of the outlet shud b easily accesible
.343
-.617
-.001
.151
.372
Pricing affordable
.511
-.331
.002
.252
.140
Service Quality
.582
-.359
-.262
-.133
-.285
Product Customization
.267
-.041
.225
.456
-.708
Special Food
.763
-.384
.082
.045
-.047
Value For Money
.615
-.246
.174
.003
-.174
Customer Friendly
.531
.104
.562
-.026
.155
Customer Loyalty
.486
.471
-.051
-.156
-.026
Variety of Foods
.479
-.019
.250
-.378
.383
Quality of Food
.686
.200
-.217
-.388
-.095
Better Quantity over restaurants
.513
.485
.049
-.194
-.212
Visit in peak hours
.036
.197
.738
.137
.083
Parking Space
.348
.506
.064
.488
.224
Hygienice Food
.547
.210
-.435
.009
.084
Free Delivery
.358
.239
-.445
.548
.258
Extraction Method: Principal Component Analysis. a.
5 components extracted
From above fig. the 15 factors which were there initially has been reduced and summarize into five components. Below is the analysis for the same with naming a factor.
Naming the Factors Quality of Food and Service
Component 1
2 0.331 0.359 0.384
3
4
5
0.002
0.252
0.14
0.262
0.133
0.082
0.045
0.285 0.047
Pricing done by food Outlet are affordable
0.511
Quality of Service is good
0.582
They server special food with great taste
0.763
I get satisfy for what I pay at the roadside food outlet(value for money)
0.615
0.246
0.174
0.003
I feel more loyal to visit roadside food outlet(Customer Loyalty)
0.486
0.471
0.051
0.026
I always find great variety of Products at roadside food outlet
0.479
0.019
0.25
I always find the best quality of food
0.686
0.2
0.217
Better quantity over restaurants
0.513
0.485
0.049
0.156 0.378 0.388 0.194
I always get Hygienic Food
0.547
0.21
0.435
0.009
0.084
0.348
0.506
0.064
0.488
0.224
Raodside Food outlets are customer friendly
0.531
0.104
0.562
0.026
0.155
I always like to visit in peak hours
0.036
0.197
0.738
0.137
0.083
Product customization is highly required
0.267
0.041
0.225
0.456
0.708
I would like to get free delivery
0.358
0.239
0.445
0.548
0.258
0.343
0.617
0.001
0.151
0.372
0.174
0.383 0.095 0.212
Parking Space I always find the Parking Space near by the outlet Customer Friendly
Product Customization and Free Delivery
Location Accessibility Location of the outlet should be easily ac cessible
Interpretation: So From above results we can say that the Fifteen factors which were there before the factor analysis have been reduced to Five and this will be taken as the final Factors that leads to the roadside food outlet successful.
Total Variance Explained Initial Eigenvalues Component
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
1
3.780
25.198
25.198
3.780
25.198
25.198
2
1.733
11.551
36.749
1.733
11.551
36.749
3
1.524
10.157
46.906
1.524
10.157
46.906
4
1.228
8.184
55.091
1.228
8.184
55.091
5
1.128
7.517
62.607
1.128
7.517
62.607
6
.998
6.656
69.264
7
.825
5.501
74.765
8
.797
5.315
80.080
9
.643
4.287
84.368
10
.582
3.879
88.247
11
.477
3.182
91.429
12
.411
2.742
94.171
13
.378
2.521
96.692
14
.267
1.782
98.474
15
.229
1.526
100.000
Extraction Method: Principal Component Analysis.
graphs the eigenvalue against the factor number. You can see Interpretation: The scree plot graphs these values in the first five columns of the table immediately above. From the Sixth factor on, you can see that the line is almost flat, meaning the each successive factor is accounting for smaller and smaller amounts of the total variance