Table 6 Moderating effects of experience and TTF.

From: Understanding college students’ acceptance of machine translation in foreign language learning: an integrated model of UTAUT and task-technology fit

Path

Path coefficient

t value

p value

f2 value

95% confidence interval

Test result

H6a: Experience x PE → BI

0.138

2.745

0.006

0.047

[0.030, 0.221]

Supported

H6b: Experience x EE → BI

−0.005

0.094

0.925

0.000

[−0.113, 0.113]

Unsupported

H6c: Experience x SI → BI

−0.056

1.044

0.297

0.008

[−0.167, 0.045]

Unsupported

H6d: Experience x ATT → BI

−0.106

1.622

0.105

0.017

[−0.195, 0.078]

Unsupported

H7a: TTF × PE → BI

0.119

2.069

0.039

0.025

[0.017, 0.219]

Supported

H7b: TTF × EE → BI

0.213

4.631

0.000

0.109

[0.117, 0.298]

Supported

H7c: TTF × SI → BI

0.006

0.112

0.911

0.000

[−0.073, 0.130]

Unsupported

H7d: TTF × ATT → BI

0.041

0.600

0.548

0.003

[−0.109, 0.155]

Unsupported

  1. EE effort expectancy, BI behavioral intention of MT, UB use behavior, PE performance expectancy, SI social influence, ATT attitude toward MT, TTF task-technology fit.
  2. Significant at p < 0.05.
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