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A Systems View Across Time and Space

Table 2 Composite reliability values

From: Application of partial least square in predicting e-entrepreneurial intention among business students: evidence from Pakistan

Variable

Indicator

Loading

Indicator reliability loadings*loadings

Composite reliability

AVE

Achievement

Ac1

0.7006

0.490

0.8958

0.5896

Ac2

0.8065

0.650

Ac3

0.7860

0.617

Ac4

0.7953

0.632

Ac5

0.7932

0.629

Ac6

0.7188

0.516

Self-esteem

Ses1

0.6557

0.429

0.8802

0.5517

Ses2

0.7140

0.509

Ses3

0.7938

0.630

Ses4

0.7821

0.611

Ses5

0.7851

0.616

Ses6

0.7154

0.511

Personal control

Pc1

0.7401

0.547

0.8745

0.5831

Pc2

0.7903

0.624

Pc3

0.8039

0.646

Pc4

0.7961

0.633

Pc5

0.6806

0.463

Creativity

Cr1

0.6814

0.464

0.8780

0.5466

Cr2

0.7905

0.624

Cr3

0.7967

0.634

Cr4

0.7731

0.597

Cr5

0.7177

0.515

Cr6

0.6657

0.443

Self-efficacy

Sef1

0.8197

0.671

0.8967

0.6846

Sef2

0.8355

0.698

Sef3

0.8356

0.698

Sef4

0.8185

0.669

E-entrepreneurial intention

Eei1

0.7096

0.503

0.8910

0.5771

Eei2

0.7683

0.590

Eei3

0.7894

0.623

Eei4

0.7406

0.548

Eei5

0.7483

0.559

Eei6

0.7985

0.637

  1. Composite reliability (CR) = (square of the summation of the factor loadings)/{(square of the summation of the factor loadings) + (square of the summation of the error variances)}
  2. Average variance extracted (AVE) = (summation of the square of the factor loadings)/{(summation of the square of the factor loadings) + (summation of the error variances)}