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Table 5 The analysis results of the structural model

From: Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling

Hypotheses

Constructs

Path coefficient (β)

t-value

p-value

Results

H1

BDT → AC

0.653

15.507

0.000

Significant

H2

BDT → BE

0.674

17.751

0.000

Significant

H3

BDT → COM

0.576

9.796

0.000

Significant

H4

BDT → TI

0.534

8.514

0.000

Significant

H5

BDT → EO

0.561

7.142

0.000

Significant

H6

AC → BDAA

0.153

1.298

0.097

Non-significant

H7

BE → BDAA

0.230

1.485

0.069

Non-significant

H8

COM → BDAA

0.067

0.476

0.317

Non-significant

H9

TI → BDAA

0.083

0.581

0.281

Non-significant

H10

EO → BDAA

0.251

1.922

0.028

Significant

  1. Critical values: t > 1.645; p < 0.05