Results and analysis

Results of confirmatory factor analysis

The x2/df and RMSEA indexes in Table 2.4 render Model 1, which views organizational learning as a single-factor structure, and Model 2, which distinguishes inter-organizational learning from other learning, unacceptable. Models 3, 4, 5 and 6 are acceptable, and the measurement indexes x2/dfi NFI, IFI, TLI, CFI and RMSEA increase gradually. In addition, it can be seen from Table 2.5 that Models 3, 4 and 5 represent different perspectives and standards, but from the data fit point of view, the six-factor model is the optimal model, and this conclusion dovetails with the theoretical hypotheses of this study.

In addition, the evaluation index of measurement model also includes the loading of each explicit variable on latent variable and the loading on error. The results of the six-factor model are shown in Table 2.6. It can be seen that the loading of each item and factor is higher, and the loading on error (error loading) is lower, which indicates that the interpretation rate of each item to the corresponding latent variable is relatively high with small error.

The preceding has proven that through explorative factor analysis, this study obtained a six-factor structure model for the organizational learning of Chinese companies. Building on this, we verified the six-factor model through confirmatory factor analysis and reached the conclusion that six-factor model is indeed the ideal model for Chinese companies’ organizational learning.

Table 2.4 Comparison of various models

X

x'/df

NFI

IFI

TLI

CFI

PNFI

RMSEA

Model 0

26,412.6

435

60.72

Model 1

32,309.7

435

74.28

0.960

0.971

0.967

0.971

0.832

0.081

Model 2

32,309.7

435

74.28

0.961

0.955

0.968

0.973

0.831

0.080

Model 3

1067.7

376

2.84

0.960

0.973

0.969

0.973

0.829

0.078

Model 4

1001.5

374

2.68

0.962

0.976

0.972

0.976

0.827

0.075

Model 5

951.2

376

2.53

0.964

0.978

0.974

0.978

0.833

0.072

Model 6

651.2

362

1.79

0.975

0.989

0.987

0.989

0.812

0.052

Note. Model 1 refers to a single-factor model; Model 2 is a two-factor model composed of mter- orgamzational leammg and other learning; Model 3 refers to a two-factor model composed of learning levels and information or knowledge flow; Model 4 refers to a three-factor model composed of three levels within an organization, inter-organizational learning and information or knowledge flow; Model 5 refers to a two-factor model composed of individual leammg and collective level learning; and Model 6 refers to the six-factor model.

Table 2.5 Test of the model fitting difference

Comparing model

Model 6-Model 3

-416.5

-14

29.75**

Model 6-Model 4

-350.3

-12

29.19**

Model 6-Model 5

-300

-14

21.43**

** /><0.01

Note: When df = 12. the critical value ofp < 0 01 is x1 = 26.2; When df= 14, the critical value ofp< 0.01 is x2 = 29.1.

Table 2.6 Loading of latent variables on explicit variables and error variables of six-factor model

Individual learning

Collective learning

Organizational learning

Item

Load

Error

load

Item

Load

Error load

Item

Load

Error load

3

0.631

0.1398

30

0.534

0.285

12

0.629

0.396

8

0.704

0.495

21

0.562

0.315

15

0.724

0.524

16

0.621

0.386

13

0.624

0.389

33

0.613

0.376

1

0.531

0.282

28

0.554

0.307

27

0.684

0.468

11

0.740

0.548

4

0.590

0.348

6

0.493

0.243

25

0.643

0.413

9

0.759

0.576

35

0.612

0.374

29

0.637

0.406

7

0.716

0.512

24

0.739

0.546

5

0.527

0.278

10

0.710

0.505

20

0.740

0.547

17

0.497

0.247

19

0.613

0.375

34

0.598

0.357

37

0.582

0.338

23

0.661

0.437

 
Source
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