Papers
1
Total Citations
8
H-Index
1
About
Molan Kim is a rising scholar in marketing and consumer behavior, whose work explores the intersection of artificial intelligence, human psychology, and premium market dynamics. Her research primarily focuses on how AI human-likeness and contextual factors influence consumer trust and preferences, particularly in high-tech luxury settings. In her most-cited paper, "Too human to trust? How AI human-likeness and context orientation shape consumer preferences in premium high-tech markets" (2025, 8 citations), Kim challenges conventional assumptions about anthropomorphism, revealing that excessive human-likeness in AI can paradoxically reduce trust in premium contexts—a finding with profound implications for product design and brand strategy. Though early in her career, her work has already garnered attention for its timely relevance as AI becomes embedded in consumer experiences. Kim’s contributions bridge theoretical frameworks from psychology, technology adoption, and marketing, offering actionable insights for practitioners navigating the delicate balance between innovation and consumer skepticism. Her research is particularly valuable for students and scholars interested in the psychological underpinnings of human-AI interaction, trust formation, and the evolving landscape of premium technology markets.
Research Focus
Key Achievements
Top Papers
- 1