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Does Luxury Brand Perception Matter In Purchase Intention? A Comparison Between A Japanese Brand And A German Brand Sari, Diana; Kusuma, Brata
ASEAN Marketing Journal Vol. 6, No. 1
Publisher : UI Scholars Hub

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Abstract

The research regarding luxury products in developed economies can be found in many literatures, nevertheless similar research in developing economies are still limited. Since this topic is still underexplored, particularly in developing economies, the purpose of this study is to investigate Indonesian consumers’ perception of two different luxury brands that comes from different countries, namely BMW (Germany) and Lexus (Japan). Data was collected from diverse Indonesian BMW and Lexus owners. The consumers’ general brand perception and perceived values of luxury car are examined in this study. Data analysis used structural equation modeling (SEM). Results indicated that Indonesian consumers considered Japanese luxury car’s (Lexus) conspicuous value higher than German luxury car (BMW). Nevertheless, BMW was considered to have higher value in all of the rest of the aspects studied such as quality value, social value, and hedonic value. Even though so, the result of the study finds that Lexus owners have a higher purchase intention than BMW owners. The research concludes that luxury brand perception is highly affecting consumers’ purchase intention in this luxury automotive industry.
Legal review of artificial intelligence-based autopilot electric vehicles in Indonesia Kusuma, Brata; Wardhani, Novea Elysa; Kristanto, Kiki
Journal of Law Science Vol. 7 No. 2 (2025): April: Law Science
Publisher : Institute Of computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jls.v7i2.6169

Abstract

The rise of electric vehicles using AI technology and Autopilot mode has potential benefits and issues in Indonesia's transportation system. These cars are more energy efficient and safe to drive. Yet, the legality of autonomous electric cars is still unclear due to lacking regulations. This article explores the legal concerns of AI-driven electric vehicles, such as safety standards, liability in accidents, and data privacy. This study employs a normative legal research method with legislative and conceptual approaches to analyze various applicable regulations, such as Law Number 22 of 2009 concerning Traffic and Road Transportation and Presidential Regulation Number 55 of 2019 concerning Battery-Based Electric Vehicles. The research findings indicate that despite some rules that can serve as a basis for regulation, there are still legal loopholes that need to be addressed promptly. The government needs to formulate specific regulations covering safety aspects, feasibility tests, and mechanisms of legal responsibility in accidents involving autonomous vehicles. Additionally, user data protection must be reinforced to prevent the misuse of information collected by AI systems. In conclusion, strict regulations are needed to ensure that technological advancements can move forward while safeguarding safety and legal certainty for the public. This research encourages new regulations governing security aspects, legal responsibility, and data protection in AI-based autopilot electric vehicles to address legal gaps in the Road Traffic and Transport Law (LLAJ) and the Electronic Information and Transactions Law (ITE).