Abstract :
This study explores the impact of advanced technologies, including Artificial Intelligence (AI), data science, business analytics, and the Internet of Things (IoT), on consumer decision-making in Japan and Singapore. The research examines how these technologies shape consumer behavior by interacting with cognitive biases, decision-making heuristics, and cultural factors. A qualitative, exploratory approach was employed, involving in-depth interviews, focus groups, and observational studies with Japanese and Singaporean consumers actively engaged with AI-driven personalization, dynamic pricing, targeted advertising, and IoT devices. The findings reveal that AI-driven personalization often reinforces cognitive biases such as confirmation bias and choice overload, while dynamic pricing strategies exploit loss aversion, prompting impulsive buying behavior. IoT devices were found to influence decision-making under uncertainty by providing real-time feedback and automated adjustments that reduce cognitive load. The study highlights significant cultural differences, with Japanese consumers exhibiting a cautious and trust-oriented approach to technology use, while Singaporean consumers demonstrate a pragmatic and efficiency-driven engagement. These insights underscore the importance of culturally informed approaches to technology adoption and emphasize the need for ethical guidelines to address potential consumer manipulation and data privacy concerns. The research provides valuable implications for businesses, marketers, and policymakers, advocating for transparent, fair, and culturally sensitive strategies that enhance consumer engagement without compromising autonomy or trust.

Keywords :
Artificial Intelligence, Behavioral Economics, Business Analytics, Cognitive Biases, Consumer Behav-ior, Consumer Decision-Making, Data Science, Dynamic Pricing, Internet of Things, Personalized Marketing.

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