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The relationship between market orientation, learning orientation and business results of hotel and restaurant enterprises: A case study in Ho Chi Minh City - 30




MI

Par Change

MO2

<---

MO4

9,595

.105

MO2

<---

MO5

10,603

.098

MO3

<---

IN2

4,921

-.074

MO3

<---

MO1

5,366

-.082

MO3

<---

MO4

23,619

.192

MO3

<---

MO5

15,994

.139

MO3

<---

MO8

16,840

.141

MO4

<---

IN4

4,991

-.074

MO4

<---

IN1

4,936

-.071

MO4

<---

MO1

4,515

-.071

MO4

<---

MO2

8,759

.117

MO4

<---

MO3

23,357

.170

MO4

<---

MO5

16,838

.135

MO4

<---

MO6

4,092

-.062

MO5

<---

IN2

5.212

-.081

MO5

<---

MO2

10,124

.141

MO5

<---

MO3

16,543

.160

MO5

<---

MO4

17,613

.175

MO5

<---

MO6

5.021

-.077

MO6

<---

WORRY

11,738

.106

MO6

<---

PRINT

7,193

.120

MO6

<---

LO1

8,291

.074

MO6

<---

LO2

9,414

.080

MO6

<---

LO3

10,020

.079

MO6

<---

LO4

6,731

.067

MO6

<---

LO5

7,162

.062

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MI

Par Change

MO6

<---

IN4

5,356

.065

MO6

<---

IN2

16,480

.109

MO6

<---

MO1

20,186

.128

MO6

<---

MO3

11,745

-.102

MO6

<---

MO4

15,895

-.126

MO6

<---

MO5

18,646

-.120

MO7

<---

IN1

4,263

.065

MO8

<---

MO3

18,129

.167


CMIN


Model

NPAR

CMIN

DF

P

CMIN/DF

Default model

55

788,712

245

.000

3,219

Saturated model

300

.000

0



Independence model

24

7378.964

276

.000

26,735


RMR, GFI


Model

RMR

GFI

AGFI

PGFI

Default model

.062

.875

.847

.715

Saturated model

.000

1,000



Independence model

.345

.300

.239

.276


Baseline Comparisons


Model

NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2

CFI

Default model

.893

.880

.924

.914

.923

Saturated model

1,000


1,000


1,000



Model

NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2

CFI

Independence model

.000

.000

.000

.000

.000

RMSEA


Model

RMSEA

LO 90

HI 90

PCLOSE

Default model

.066

.061

.072

.000

Independence model

.226

.222

.231

.000


Parameter

SE

SE-SE

Mean

Bias

SE-Bias

PRINT

<---

MO

.046

.000

.177

-.001

.001

PRINT

<---

WORRY

.047

.000

.340

.000

.001

BP

<---

MO

.048

.000

.188

-.001

.001

BP

<---

WORRY

.047

.000

.250

-.001

.001

BP

<---

PRINT

.049

.000

.330

.000

.001


CONSIDER THE ROLE OF MODERATING VARIABLES




Regression Weights: (Group number 1 - Default model)



Estimate

SE

CR

P

Label

MO

<---

BEIGE

.191

.050

3,807

***


WORRY

<---

BEIGE

.455

.076

5,952

***


PRINT

<---

MO

.143

.050

2,850

.004


PRINT

<---

BEIGE

.289

.055

5,247

***


PRINT

<---

WORRY

.184

.035

5.216

***


BP

<---

MO

.257

.061

4,228

***


BP

<---

PRINT

.433

.067

6.506

***


BP

<---

WORRY

.226

.042

5,367

***





Estimate

SE

CR

P

Label

BE1

<---

BEIGE

1,000





BE2

<---

BEIGE

1,293

.074

17,479

***


BE3

<---

BEIGE

1,219

.076

15,995

***


BE4

<---

BEIGE

1,403

.079

17,723

***


BE5

<---

BEIGE

1,222

.076

16,157

***


BE6

<---

BEIGE

1,143

.079

14,548

***


BE7

<---

BEIGE

1,078

.079

13,713

***


MO8

<---

MO

1,000





MO7

<---

MO

1,029

.082

12,536

***


MO6

<---

MO

1,496

.100

15,018

***


MO5

<---

MO

.958

.084

11,416

***


MO4

<---

MO

.812

.073

11,076

***


MO3

<---

MO

.870

.078

11,161

***


MO2

<---

MO

.823

.070

11,735

***


MO1

<---

MO

1,319

.090

14,668

***


IN1

<---

PRINT

1,000





IN2

<---

PRINT

1,270

.086

14,773

***


IN3

<---

PRINT

1,446

.095

15,185

***


IN4

<---

PRINT

1,242

.082

15,057

***


IN5

<---

PRINT

.990

.083

11,983

***


LO5

<---

WORRY

1,000





LO4

<---

WORRY

.959

.036

26,370

***


LO3

<---

WORRY

.861

.050

17,098

***


LO2

<---

WORRY

.855

.052

16,522

***


LO1

<---

WORRY

.962

.052

18,653

***


BP1

<---

BP

1,000








Estimate

SE

CR

P

Label

BP2

<---

BP

.863

.063

13,705

***


BP3

<---

BP

.982

.057

17,262

***


BP4

<---

BP

1,410

.062

22,591

***


BP5

<---

BP

.914

.057

16,079

***


BP6

<---

BP

1,360

.063

21,640

***



Standardized Regression Weights: (Group number 1 - Default model)



Estimate

MO

<---

BEIGE

.192

WORRY

<---

BEIGE

.301

PRINT

<---

MO

.135

PRINT

<---

BEIGE

.274

PRINT

<---

WORRY

.264

BP

<---

MO

.187

BP

<---

PRINT

.335

BP

<---

WORRY

.251

BE1

<---

BEIGE

.705

BE2

<---

BEIGE

.844

BE3

<---

BEIGE

.788

BE4

<---

BEIGE

.878

BE5

<---

BEIGE

.777

BE6

<---

BEIGE

.696

BE7

<---

BEIGE

.653

MO8

<---

MO

.616

MO7

<---

MO

.673

MO6

<---

MO

.876




Estimate

MO5

<---

MO

.597

MO4

<---

MO

.575

MO3

<---

MO

.581

MO2

<---

MO

.618

MO1

<---

MO

.841

IN1

<---

PRINT

.639

IN2

<---

PRINT

.808

IN3

<---

PRINT

.842

IN4

<---

PRINT

.831

IN5

<---

PRINT

.619

LO5

<---

WORRY

.791

LO4

<---

WORRY

.840

LO3

<---

WORRY

.733

LO2

<---

WORRY

.764

LO1

<---

WORRY

.848

BP1

<---

BP

.738

BP2

<---

BP

.607

BP3

<---

BP

.752

BP4

<---

BP

.964

BP5

<---

BP

.704

BP6

<---

BP

.921

Covariances: (Group number 1 - Default model)



Estimate

SE

CR

P

Label

e2

<-->

e1

-.008

.018

-.440

.660


e5

<-->

e6

-.008

.014

-.585

.559


e6

<-->

e7

.404

.033

12,122

***





Estimate

SE

CR

P

Label

e4

<-->

e3

.027

.019

1,424

.155


e21

<-->

e22

.157

.031

5,066

***


e24

<-->

e25

-.080

.027

-3.004

.003


Correlations: (Group number 1 - Default model)



Estimate

e2

<-->

e1

-.025

e5

<-->

e6

-.019

e6

<-->

e7

.744

e4

<-->

e3

.099

e21

<-->

e22

.389

e24

<-->

e25

-.220

Variances: (Group number 1 - Default model)



Estimate

SE

CR

P

Label

BEIGE

.369

.043

8,672

***


e26

.351

.048

7,327

***


e28

.769

.077

9,950

***


e27

.319

.042

7,528

***


e35

.479

.051

9,351

***


e2

.249

.022

11,373

***


e4

.215

.022

9,794

***


e5

.361

.027

13,449

***


e6

.512

.036

14,284

***


e7

.576

.039

14,706

***


e8

.595

.040

14,805

***


e9

.464

.032

14,429

***


e10

.246

.024

10,089

***


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