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Jie Ren

Business faculty - Jie Ren

Assistant Professor
Information, Technology, and Operations

General Information:
140 W. 62nd Street, Room 435, 
New York, NY 10023

Email: jren11@fordham.edu
Web: www.jieren.me

Biography

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.

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

Journal Articles

  • Ren, J. and Nickerson, J. V. (2018) Arousal, Valence and Volume: How the Influence of Online Review Characteristics Differs with Respect to Utilitarian and Hedonic Products, European Journal of Information Systems, available online: https://www.tandfonline.com/doi/abs/10.1080/0960085X.2018.1524419?journalCode=tjis20
  • 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., Ozturk, P. and Yeoh, W. (2017) Online Crowdsourcing Campaigns: Bottom-up VS Top-down Process Model, Journal of Computer Information Systems, forthcoming, available online, http://www.tandfonline.com/doi/abs/10.1080/08874417.2017.1344592
  • 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.
  • Shahid, M. K., Ren, J. and Tang, S. (2007). Broadband Access in Developing Countries: Access Technologies, Policy Issues, and Solution, Journal of Beijing Institute of Technology, 17 (Suppl): 112-120.

 

Book Chapters

  • Ren, J., Ozturk, P., and Luo, S. (2018) Examining Customer Responses to Fake Online Reviews: The Role of Suspicion and Product Knowledge, In Fan, M., Heikkilä, J., Li, H., Shaw, M.J., & Zhang, H. (Eds.). Internetworked World, Springer Nature, Scientific Publishing Services (P) Ltd, 177-184.
  • Tan, C. S., Cheng, M., Ren, J., and Wong, S. F. (2018). BI Maturity Model. In S. Miah & W. Yeoh (Eds.), Applying Business Intelligence Initiatives in Healthcare and Organizational Settings. Hershey, PA: IGI Global, 44-63.

 

Conference Proceedings

  • Dong, H., Ren, J. and Nickerson, J.V. (2018) Evidence of Demand-driven Media Bias, Proceedings of the 24th Americas Conference on Information Systems, Aug. 16-18, New Orleans (Best Paper Second Runner-up for AMCIS 2018)
  • Ren, J., Han, Y., Yeoh, W and Genc, Y. (2017) Exploring the Role of Learning in Crowdsourcing Creativity: The Value of Idea-Building in the Crowd, Proceedings of the International Conference on Information Systems 2017, Dec. 10-14, Seoul, Korea.
  • Yim, D., Malefyt, T. and Ren, J. (2016). Remembering Beauty or Artifacts? Empirical Investigation of Mobile Photo Evaluation, Proceedings of the International Conference on Information Systems 2016, Dec. 10-14, Dublin, Ireland.
  • Ren, J. (2015). Examining the Causality Loop between Online Reviews and Consumer Acquisition – a Granger Causality Study from YouTube, Proceedings of the 21st Americas Conference on Information Systems, Aug. 13-15, Puerto Rico.
  • Ren, J., and Nickerson, J. V. (2014). Online Review Systems: How Emotional Language Drives Sales, Proceedings of the 20th Americas Conference on Information Systems, Aug. 7-8, Savannah, GA.