Table 6 Hypothesis testing results.

From: Exploring the varying effects of chatbot service quality dimensions on customer intentions to switch service agents

Hypotheses

Inner VIF

Coefficients

SD

Hypothesis support

Specific indirect effects

Coefficients

SD

H1a

Ability to understand—> Willingness to switch

2.393

0.354***

0.046

Yes

Ability to understand—> Perceived shopping enjoyment—> Willingness to switch

0.112***

0.020

H1b

Ability to understand—> Perceived shopping enjoyment

2.198

0.314***

0.044

Yes

   

H2a

Synchronicity—> Willingness to switch

1.793

0.012

0.036

No

Synchronicity—> Perceived shopping enjoyment—> Willingness to switch

0.037**

0.014

H2b

Synchronicity—> Perceived shopping enjoyment

1.776

0.105**

0.038

Yes

   

H3a

Perceived humanness—> Willingness to switch

1.546

 − 0.010

0.033

No

Perceived humanness—> Perceived shopping enjoyment—> Willingness to switch

0.067***

0.015

H3b

Perceived humanness—> Perceived shopping enjoyment

1.458

0.187***

0.036

Yes

   

H4a

Problem resolution—> Willingness to switch

2.352

0.155***

0.041

Yes

Problem resolution—> Perceived shopping enjoyment—> Willingness to switch

0.116***

0.025

H4b

Problem resolution—> Perceived shopping enjoyment

2.077

0.325***

0.045

Yes

   

H5

Perceived shopping enjoyment—> Willingness to switch

2.600

0.357***

0.049

Yes

   

H6a

Active control*Ability to understand—> Willingness to switch

1.533

0.051*

0.020

Yes

   

H6b

Active control *Problem resolution—> Willingness to switch

1.398

0.025

0.020

No

   
  1. SRMR for the saturated model is 0.059.
  2. ***p < 0.001, ** p < 0.01, * p < 0.05, + p < 0.1