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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