Xin (Shane) Wang’s research focuses on artificial intelligence and machine learning techniques with applications in business and social media analytics, firm strategy and management. His current research and teaching interest maps the relative strategic positions of competitors where they matter most – in the minds of customers. His work has appeared in Marketing Science, Journal of Marketing Research, Journal of Marketing, Journal of Consumer Research, Management Science, and International Journal of Research in Marketing.

Wang serves as an associate editor at the Journal of Academy of Marketing Science, and he is currently on the editorial review board of the Journal of Marketing, Journal of Marketing Research, Journal of Consumer Research, and Journal of Retailing. Wang was named to the Marketing Science Institute’s 2021 Class of Young Scholars, awarded biennially to scholars identified as the “likely leaders of the next generation of marketing academics.” Before joining Virginia Tech, he was the Kraft Professor of Marketing at Ivey Business School, Western University, Canada

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