From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior

Area of Science:

• Transportation technology adoption
• Consumer behavior in emerging markets
• Industry 4.0 applications

Background:

• Consumer attitudes towards electric vehicles (EVs) are crucial for adoption.
• Individual attitudes and technology factors significantly influence EV uptake.
• Nations reliant on oil face unique challenges in EV adoption.

Purpose of the Study:

• To investigate electric vehicle (EV) adoption in Saudi Arabia, a traditionally oil-reliant nation.
• To develop and empirically validate a framework integrating the Task Technology Fit (TTF) model and the Unified Theory of Acceptance and Usage of Technology (UTAUT).
• To understand the interplay of technological and behavioral factors in EV adoption.

Main Methods:

• A cross-sectional survey approach was employed.
• 273 valid questionnaires were collected from consumers using convenience sampling.
• The integrated TTF and UTAUT framework was empirically validated.

Main Results:

• The integration of TTF and UTAUT positively influences users' adoption of EVs.
• The direct effect of TTF on behavioral intentions was found to be insignificant.
• UTAUT constructs significantly contribute to the relationship, while social influence has no impact on EV adoption.

Conclusions:

• The combined TTF and UTAUT framework offers a holistic methodology for understanding EV adoption complexities.
• Behavioral factors, particularly those within UTAUT, are key drivers of EV adoption.
• Future research should explore the nuances of social influence and direct TTF effects in diverse markets.