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Rae Yule Kim

Assistant Professor, Marketing

Email:
kimr@montclair.edu
Degrees:
BS, University of Bristol
MS, Johns Hopkins University
PhD, Rutgers University
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Bio

Rae Yule Kim joined Feliciano School of Business as an Assistant Professor of Marketing in 2020. He holds a Ph.D. in Marketing from Rutgers University, and an M.S. in Information Systems from Johns Hopkins University. His research provides insights for marketers looking to improve the digital presence of their business. His research has been presented at American Marketing Association and has been published in IEEE Transactions on Engineering Management, Electronic Markets, Applied Economics, Electronic Commerce Research, and Electronic Commerce Research and Applications.

Expertise

Digital Marketing, Digital Sales, AR/VR, Consumer Insights, Social Responsibility

Research

  • How do online reviews influence consumer decisions?
  • How to predict marketing outcomes from text data?
  • What makes a robot likable?

Professional Experience

  • Assistant Professor, Montclair State University (2020 - Present)
  • Instructor , Rutgers University (2019 - 2020)

Honors & Awards

  • Excellence in Scholarship Award, Feliciano School of Business (May 2021)
  • Research Grants, Academy of Marketing Science and Association Française du Marketing (February 2021)
  • Best Abstracts Award , Atlantic Marketing Association (October 2020)
  • Fellow, Academy of Marketing Science Doctoral Consortium (March 2020)
  • Dean's Grants, Rutgers Business School - Rutgers University (July 2019)

Refereed Published Articles

  • R. Kim (2023). Gender and Workplace Promotion: A Case Study of a Multinational IT Corporation. IEEE Transactions on Engineering Management
  • R. Kim (2023). Bounded Rationality: Are Higher Online Review Ratings Always Better for Sales?. Behaviour & Information Technology
  • R. Kim (2023). How to Use Social Media (Properly) for Business?. ACM Interactions
  • R. Kim (2023). Robots in Healthcare. ACM Interactions
  • R. Kim (2022). Using Online Reviews for Customer Sentiment Analysis. IEEE Engineering Management Review
  • R. Kim (2021). Shopping with Robots. Journal of Future Studies
  • R. Kim (2021). When Does Online Review Matter to Consumers? The Effect of Product Quality Information Cues. Electronic Commerce Research
  • R. Kim (2021). What Makes People Happy? An Empirical Investigation of Panel Data. Applied Economics Letters
  • R. Kim (2020). An Unforeseen Story of Alpha Woman. Applied Economics
  • R. Kim (2020). Share of Voice: Findings from the US Automotive Industry. Economics Bulletin
  • R. Kim (2020). The Impact of COVID-19 on Consumers: Preparing for Digital Sales. IEEE Engineering Management Review
  • R. Kim (2020). The Influx of Skeptics: An Investigation of the Diffusion Cycle Effect on Online Review. Electronic Markets
  • R. Kim (2020). The Value of Followers on Social Media. IEEE Engineering Management Review
  • R. Kim (2019). Does National Culture Explain Consumers’ Reliance on Online Reviews? Cross-Cultural Variations in the Effect of Online Reviews on Consumer Choice. Electronic Commerce Research and Applications

Published Proceedings

  • R. Kim (5s). . Predicting Social Media Conversion with a Decision Tree A World Disrupted: Marketing’s Role in Understanding, Adapting and Transforming the Business Ecosystem, American Marketing Association
  • R. Kim (5s). . Unexpected Price Promotions Can Hurt Sales INFORMS Society for Marketing Science Conference
  • R. Kim, N. Belei, R. Vaidyanathan, S. Heitz-Spahn (5s). 2023. From Eerie to Aww - Embracing the Imperfect Side of Humans Can Improve the Consumer Robot Interaction Developments in Marketing Science: Proceedings of the Academy of Marketing Science
  • R. Kim (5s). 2022. Online Review Helpfulness: Findings From Sentiment Analysis INFORMS Society for Marketing Science Conference
  • R. Kim (5s). 2022. Retail After COVID-19: Use Virtual Reality to Enhance Ecommerce IEEE Technology & Engineering Management Conference
  • R. Kim (5s). 2022. Predicting NFL Ticket Sales with Social Media Data Developments in Marketing Science: Proceedings of the Academy of Marketing Science
  • R. Kim (5s). 2022. Text Mining Customer Reviews: What Makes an Impactful Review? Light in the Darkness: Marketing’s Role in Driving Positive Change, American Marketing Association
  • R. Kim (5s). . Do Social Media Followers Impact Sales? INFORMS Society for Marketing Science Conference
  • R. Kim (5s). 2021. The Role of Anthropomorphism in Customer-Robot Interaction Reimagining Marketing, American Marketing Association
  • R. Kim (5s). 2020. Do Social Media Followers Impact Sales? Analysis for a Brave New Marketing World, Society for Marketing Advances
  • R. Kim (5s). 2020. How Can Ad Spending Improve Market Dominance? American Academy of Advertising Conference
  • R. Kim (5s). 2020. Selling After COVID-19 Atlantic Marketing Association
  • R. Kim (5s). 2020. When Do Online Reviews Matter? Changing the Rhythm of Marketing: Are We Listening? Society for Marketing Advances
  • R. Kim (5s). 2020. The Niche Effect: Are Social Media Followers for Niche Brands More Loyal? Bridging Gaps: Marketing in an Age of Disruption, American Marketing Association
  • R. Kim (5s). 2019. Can Advertising Spending Increase Market Share? Atlantic Marketing Association Conference

Books & Chapters

  • R. Kim (2023). Online Reviews and Consumer Decisions. The Cambridge Handbook of Cyber Behavior, Cambridge University Press