Ebrahim et al.
1979
Table 4. Contd.
Te17 Te18 Te19
Software as a service (eliminating the need to install and run the application on the own computer) Virtual research center for product development Can be integrated/compatible with the other tools and systems
3.531
1.07
0.666
0.943
3.455
1.078
0.681
0.943
3.688
1.139
0.613
0.944
*Frequency values - 1: Not important; 2: Slightly important; 3: Important; 4: Quite important; 5: Extremely important.
Table 5. KMO and Bartlett’s Test results.
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Approx. Chi-Square Bartlett's Test of Sphericity
df
0. 878 679.744 28
Sig.
0.000
Table 6. Factor analysis results on 13 process items.
Component
Initial eigenvalues
Rotation sums of squared loadings
Total
% of Variance
Cumulative %
Total
% of Variance
Cumulative %
1
7.158
55.062
55.062
4.255
32.733
32.733
2
1.126
8.662
63.724
4.029
30.991
63.724
3
0.951
7.314
71.039
4
0.737
5.670
76.708
5
0.544
4.185
80.893
6
0.461
3.544
84.437
7
0.445
3.422
87.859
8
0.415
3.192
91.051
9
0.333
2.558
93.609
10
0.304
2.338
95.947
11
0.222
1.707
97.654
12
0.173
1.331
98.985
13
0.132
1.015
100.000
Extraction method: Principal Component Analysis.
after Exploratory Factor Analysis, Eigenvalue, and percentage of variance, are shown in Tables 6, 7, 8 and 9, respectively The 13 process items and 15 technology items are divided into two different groups, which have an Eigenvalue greater than one. The confirmed factors are then identified based on conciseness, without losing clarity of meaning. Upon extraction of the factors, the items with higher loadings are considered more important and have greater
influence on the name of selected reduced factors. The names and contents of the two derived factors on process items are: 1. Factor FPr1: This consists of Items Pr8 through Pr13, which are “Interact with customers for gathering new product features”, “Provide quantitative answer”, “Generate an easy and interpretable answer”, “Ease of generating reports”, “Ease of data entry” and “Ability to