User Acceptance of Internet of Vehicles Services: Empirical Findings of Partial Least Square Structural Equation Modeling (PLS-SEM) and Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

Table 9

Sufficient configurations for high intention to accept IoV-based services.

Causal condition

Solutions

1a

1b

2

3a

3b

3c

3d

4

5

6

7a

7b

Perceived expectancy

●

●

●

●

●

●

●

⊗

●

●

⊗

⊗

Effort expectancy

●

●

●

●

●

●

●

●

⊗

⊗

Social influence

•

•

•

•

•

⊗

⊗

⊗

•

⊗

⊗

Facilitating conditions

•

•

•

•

⊗

⊗

⊗

⊗

⊗

⊗

Hedonic motivation

●

●

●

●

●

●

⊗

⊗

●

⊗

⊗

Price value

⊗

⊗

•

•

•

⊗

•

⊗

⊗

⊗

⊗

Habit

⊗

⊗

•

•

•

⊗

•

⊗

⊗

⊗

⊗

Perceived risk

⊗

⊗

⊗

•

⊗

•

•

⊗

⊗

Initial trust

•

⊗

•

•

•

•

•

⊗

•

⊗

Raw coverage

0.385

0.388

0.392

0.765

0.700

0.697

0.324

0.313

0.330

0.306

0.328

0.312

Unique coverage

0.001

0.001

0.010

0.057

0.014

0.012

0.001

0.002

0.005

0.001

0.001

0.002

Consistency

0.963

0.964

0.985

0.943

0.971

0.973

0.974

0.983

0.941

0.979

0.859

0.860

Solution consistency

0.881

Solution coverage

0.862

Note: black circles (“●”) indicate the presence of a condition, and circles with a cross-out (“⊗”) indicate its absence. Furthermore, large circles indicate core conditions, and small circles indicate peripheral conditions. Blank spaces indicate a “do not care” situation in which the causal condition may be either present or absent [100].