Jie Ren

Jie Ren is an assistant professor in the information systems area at the Gabelli School of Business. She received her PhD in information management from Stevens Institute of Technology, and she earned her MS in management science and engineering and her BS in e-business from Beijing University of Posts and Telecommunications.

Professor Ren's research explores the business impact of collective online behaviors: How the crowd helps organizations innovate, market, and make financial decisions. Specifically, she studies crowdsourcing, online reviews, and social media.

Professor Ren won the best paper in the track of social computing at AMCIS 2020 and the best paper second runner-up for AMCIS 2018.

Education

• PhD: Information Management, Stevens Institute of Technology
• Master's: Management Science and Engineering, Beijing University of Posts and Telecommunications (China)
• Bachelor's: E-Business, Beijing University of Posts and Telecommunications (China)

Research interests

• Crowdsourcing
• Online Reviews
• Social Media

Publications

• Ren, J., Raghupathi, V., and Raghupathi, W. (2021) Effect of crowd wisdom on pricing in the asset-based sharing platform: An Attribute Substitution Perspective, International Journal of Hospitality Management, 94, 102874.
• Ren, J., Dong, H., Padmanabhan, B., and Nickerson, J. V. (2021) How Social Media Sentiment Impacts Mass Media Sentiment: A Study of News in the Financial Markets, Journal of the Association for Information Science and Technology, forthcoming.
• Yin, H., Zheng, S., Yeoh, W., and Ren, J. (2021) Exploring the Impact of the Richness of Online Reviews on Sales: A Perspective of Attribute Substitution, Journal of the Association for Information Science and Technology, forthcoming.
• Ren, J., Han, Y., Genc, Y., Yeoh, W., and Popovič, A. (2021) Exploring the Boundary of Crowdsourcing in the Domain of Creativity and How to Break it? Technological Forecasting & Social Change, forthcoming.
• Ren, J., Raghupathi, V., and Raghupathi, W. (2021) Exploring the Subjective Nature of Crowdfunding Funding Decisions: An Attribute Substitution Study, Journal of Business Venturing Insights, 15, e00233.
• Wang, S., Lee, A., Yeoh, W., and Ren, J. (2021) Learnings and Implications of Virtual Hackathon, Journal of Computer Information Systems, forthcoming.
• Ren, J., Raghupathi, V., and Raghupathi, W. (2020) Understanding the Dimensions of Medical Crowdfunding: A Visual Analytics Approach, The Journal of Medical Internet Research, 22(7): e18813.
• Raghupathi, V., Ren, J., and Raghupathi, W. (2020) Identifying Corporate Sustainability issues by Analyzing Shareholder Resolutions: A Machine-learning Text Analytics Approach, Sustainability, 12(11), 4753.
• Raghupathi, V., Ren, J., and Raghupathi, W. (2020) Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets, International Journal of Environmental Research and Public Health, 17(20), 3464.
• Ren, J., Raghupathi, V., and Raghupathi, W. (2020) Determinants of Startup Funding: The Interaction between Web Attention and Culture, Journal of International Technology and Information Management, 29(1), 1-24.
• Ren, J. and Nickerson, J. V. (2019) Arousal, Valence and Volume: How the Influence of Online Review Characteristics Differs with Respect to Utilitarian and Hedonic Products, European Journal of Information Systems, 28(3), 272-290.
• Ren, J., Ozturk, P., and Yeoh, W. (2019) Online Crowdsourcing Campaigns: Bottom-up VS Top-down Process Model, Journal of Computer Information Systems, 59(3), 266-276.
• Ren, J., Yeoh, W., Ee, M., and Popovič, A. (2017) Online Consumer Reviews and Sales: Examining the Chicken-Egg Relationships, Journal of the Associations for Information Science and Technology, 69(3), 449-460
• Ren, J. (2015) Exploring Creativity in Crowdsourcing, Journal of Business Anthropology, 4(2), 284-292
• Ren, J., Nickerson, J. V., Mason, W., Sakamoto, Y., and Graber, B. (2014) Increasing the Crowd’s Capacity to Create: How Alternative Generation Affects the Diversity, Relevance and Effectiveness of Generated Ads, Decision Support Systems, 65, 28-39.