2ndICASE23B-Malaysian Acceptance of Autonomous Vehicle Safety System in Relation to Purchase Intention: A Structural Equation Modeling Approach

The pursuit of autonomous vehicles has led to a growing interest in understanding Public Acceptance (PA), particularly within the Malaysian context. This study explores the intricate relationships between autonomous vehicle acceptance and various contributing factors. Drawing inspiration from a comprehensive hypothesis testing analysis, the research investigates the influence of Effort Expectancy (EE), Social Influence (SI), Relative Advantage (RA), Perceived Risk (PR), Self-Efficacy (SE), Anxiety (AN), and Attitude (AT) on Malaysian acceptance of autonomous vehicles. The presented findings offer nuanced insights that mirror the hypothesis test outcomes to illuminate potential determinants of Malaysian ATs toward autonomous vehicles. The results reveal the significance of SI, PR, SE, and AT in shaping Malaysian acceptance of autonomous vehicles. These determinants are consistent with theoretical expectations and provide empirical support for their influence on individuals’ willingness to embrace autonomous vehicle technology. Conversely, the complex interplay observed between factors like EE, RA, and AN points to a need for further investigation and contextual exploration. These findings enrich the understanding of autonomous vehicle acceptance and serve as a guiding compass for stakeholders seeking to foster an environment conducive to the successful integration of autonomous vehicles in the Malaysian landscape. The implications of these findings extend beyond academia, offering practical insights for policymakers, industry stakeholders, and researchers alike. This study contributes to the ongoing dialogue surrounding innovative transportation technologies and their societal implications by bridging the research outcomes with the Malaysian context. The outcomes provide a foundation for future research endeavors and interventions to enhance autonomous vehicle acceptance and contribute to the sustainable advancement of transportation systems within Malaysia.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2025-03-17
DOI
https://doi.org/10.37934/araset.63.1.5472
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

2ndICASE23B-Malaysian Acceptance of Autonomous Vehicle Safety System in Relation to Purchase Intention: A Structural Equation Modeling Approach

Fauzi Ahmad, Amrik Singh Phuman Singh, Nur Hazwani Mokhtar, Zaiton Hassan et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Insurance and Financial Risk Management
article

2ndICASE23B-Malaysian Acceptance of Autonomous Vehicle Safety System in Relation to Purchase Intention: A Structural Equation Modeling Approach

Fauzi Ahmad, Amrik Singh Phuman Singh, Nur Hazwani Mokhtar, Zaiton Hassan, Nur Fatihah Azmi, Mizah Ramli
article en

Abstract

The pursuit of autonomous vehicles has led to a growing interest in understanding Public Acceptance (PA), particularly within the Malaysian context. This study explores the intricate relationships between autonomous vehicle acceptance and various contributing factors. Drawing inspiration from a comprehensive hypothesis testing analysis, the research investigates the influence of Effort Expectancy (EE), Social Influence (SI), Relative Advantage (RA), Perceived Risk (PR), Self-Efficacy (SE), Anxiety (AN), and Attitude (AT) on Malaysian acceptance of autonomous vehicles. The presented findings offer nuanced insights that mirror the hypothesis test outcomes to illuminate potential determinants of Malaysian ATs toward autonomous vehicles. The results reveal the significance of SI, PR, SE, and AT in shaping Malaysian acceptance of autonomous vehicles. These determinants are consistent with theoretical expectations and provide empirical support for their influence on individuals’ willingness to embrace autonomous vehicle technology. Conversely, the complex interplay observed between factors like EE, RA, and AN points to a need for further investigation and contextual exploration. These findings enrich the understanding of autonomous vehicle acceptance and serve as a guiding compass for stakeholders seeking to foster an environment conducive to the successful integration of autonomous vehicles in the Malaysian landscape. The implications of these findings extend beyond academia, offering practical insights for policymakers, industry stakeholders, and researchers alike. This study contributes to the ongoing dialogue surrounding innovative transportation technologies and their societal implications by bridging the research outcomes with the Malaysian context. The outcomes provide a foundation for future research endeavors and interventions to enhance autonomous vehicle acceptance and contribute to the sustainable advancement of transportation systems within Malaysia.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 63(1)
Technical University of Malaysia Malacca (MY), University of Technology Malaysia (MY)
Openalex Percentile: Top 92%
Insurance and Financial Risk Management
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