Ohjin Kwon

Ohjin Kwon is an Associate Professor in the Marketing Department at Central Connecticut State University (CCSU), specializing in Marketing Analytics, Pricing, and Demand Prediction. His research examines consumer behavior dynamics including brand loyalty, corporate social responsibility impacts, and decision-making processes across diverse contexts from residential mobility to charitable giving.

He holds a Doctor of Philosophy in Marketing Analytics from the Marshall School of Business at the University of Southern California and a Master of Science in Statistics from the University of California, Los Angeles. His methodological expertise bridges advanced statistical modeling with consumer insights.

Professor Kwon's research integrates psychological, sociological, and economic perspectives to decode consumer-brand relationships. His work reveals how factors like corporate charitable destination, residential transitions, and social network structures fundamentally reshape purchasing behaviors and brand perceptions, with practical applications for pricing strategy and market segmentation.

His recent publications (2021-2025) demonstrate an evolving focus from traditional pricing models toward interdisciplinary investigations of consumer psychology in digital and global markets. Key trends include analyzing institutional influences on leadership careers, friendship networks' impact on information processing, and sustainability-driven consumer responses, published in top-tier outlets including Human Relations (Financial Times Top 50) and Journal of Industrial Economics, with media coverage in Forbes.

His scholarly recognition includes:

• Back-to-back CCSU Excellence in Teaching Honor Roll awards (2023-2025)
• Best Paper Award at the International Conference of Asian Marketing Associations (2024)
• Competitive SSHRC Insight Development Grants as both Principal Investigator and Co-Applicant
• Concordia University's Luc Beauregard Research Grant

Professor Kwon directs substantial research funding through SSHRC grants supporting investigations into consumer behavior and market analytics. His teaching portfolio spans foundational to advanced courses including Marketing Analytics (MBA), Market Data Analysis, and Consumer Research Methodology, reflecting deep commitment to developing next-generation marketing scientists through rigorous quantitative training and real-world case applications.