A Proposal for a Standard With Innovation Management System

İpek Koçoğlu; Salih Zeki İmamoğlu and Hüseyin İnce
factor load of lower than 0.50 and those having collinearity with more than one factor, were removed
one by one while continuing the factor analysis until reaching the ideal factor table. The results of the
factor analysis are naturally gathered in ten factors of which one belongs to trust, one to commitment,
four are part of IS and the final four constitute SCP.
Table 1 shows that the factor loadings are between 0.590 and 0.889, with a total variance explained
66.31%. Furthermore, the Kaiser-Meyer-Olkin test which informs the researchers about the adequacy
level of the scales has been found as KMO= 0.91 and the Bartlett's test of sphericity testing if the
correlations between variables are as expected has been found significant p= .000. Consequently, the
presented items of the measurement scale were found to be appropriate to measure the variables
given in the model.
Table 1: The results of the exploratory factor analysis
KMO: 0.91
Bartlett's Test of
Sphericity: .000
Total Variance
Explained: 66.31% Managerial
Commitment
Systems
Perspective
Openness and
Experimentation
Knowledge
Transfer and
Integration
Product
Innovation
Process
Innovation
MC1 .784
MC 2 .775
MC 3 .740
MC 4 .653
MC 5 .645
SP 1 .888
SP 2 .865
SP3 .833
OE 1 .854
OE 2 .828
OE 3 .748
OE 4 .717
KTI 1 .800
KTI 2 .704
KTI 3 .577
KTI 4 .546
PRDI 1 .889
PRDI 2 .887
PRDI 3 .856
PRDI 4 .806
PRDI 5 .752
PRDI 6 .655
PRCI 1 .879
PRCI 2 .848
PRCI 3 .838
PRCI 4 .760
PRCI 5 .673
FP 1 .848
FP 2 .773
FP 3 .770
FP 4 .759
FP 5 .752
FP 7 .590
Next, we calculated means and standard deviations for each variable and created a correlation matrix
as shown in Table 2. Moreover, Cronbach`s Alpha values representing reliability of each variable are
shown on the diagonal of the table. Hence the variables are adequately reliable being all above 0.70
as suggested by Nunnally (1978) with the exception of knowledge transfer and integration. The
means and standard deviations are within the expected ranges. It is also seen as a result of the
correlation analysis that all of the constructs each differing from each other as a factor, are
significantly related to each other when one-to-one correlations are considered; and the relatively lowto-moderate
correlations provide further evidence of discriminant validity. Especially the high
389
Firm Performance