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Table 4 General model resolution by SmartPLS using PLS algorithm and bootstrapping

From: Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint

Nº

Research hypotheses

Path Coefficient

Std Dev

t-value

p-value

f2

Result

H1( +)

CON → IU

0.112

0.056

1.992

0.047

0.014

Supported

H2( +)

EE → IU

− 0.056

0.042

1.337

0.182

0.006

Not supported

H3( +)

SN → PU

0.576

0.043

13.421

0.000

0.495

Supported

H4( +)

SN → TR

0.505

0.053

9.564

0.000

0.342

Supported

H5( +)

PPIT → IU

0.138

0.063

2.202

0.028

0.025

Supported

H6( +)

HAB → IU

0.299

0.060

4.949

0.000

0.116

Supported

H7( +)

PU → IU

0.145

0.048

3.001

0.003

0.037

Supported

H8( +)

TR → IU

0.331

0.058

5.708

0.000

0.153

Supported

H9( +)

IU → RECOM

0.754

0.030

25.409

0.000

1.316

Supported

  1. CON, Convenience; EE, Effort expentancy; HAB, Habit; IU, Intention to use; PTR, Perceived trust; PU, Perceived usefulness; PPIT, Personal innovation; SN, Subjective norms; RECOM, intention to recommend