Electric Vehicle Adoption Resistance: Extending Innovation Resistance Theory with Informativeness and Country-of-Origin Effects

Description

This dataset contains survey responses from 313 Indonesian respondents who have not adopted electric vehicles (EVs). The study aims to examine consumer resistance toward EV adoption using Innovation Resistance Theory (IRT), extended by informativeness and country-of-origin (COO) effects. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The dataset includes respondent demographic information and measurement items related to usage barriers, value barriers, risk barriers, tradition barriers, image barriers, informativeness, country of origin, and resistance toward EV adoption.

Steps to reproduce

Data were collected through an online questionnaire distributed to Indonesian respondents who had not adopted electric vehicles (EVs). Data screening was conducted to ensure completeness and consistency of responses. The final dataset consisted of 313 valid respondents. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine relationships among Innovation Resistance Theory constructs, informativeness, country-of-origin effects, and resistance toward EV adoption.

Institutions

• Binus University

  Jakarta, Jakarta

Categories

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