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Beibei Li

Personal Details

First Name:Beibei
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli1520
[This author has chosen not to make the email address public]
https://www.heinz.cmu.edu/faculty-research/profiles/li-beibei

Affiliation

H. John Heinz III School of Public Policy and Management
Carnegie Mellon University

Pittsburgh, Pennsylvania (United States)
http://www.heinz.cmu.edu/
RePEc:edi:jhscmus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.
  2. Anindya Ghose & Xitong Guo & Beibei Li & Yuanyuan Dang, 2021. "Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment," Papers 2102.05506, arXiv.org, revised Feb 2021.
  3. Anindya Ghose & Beibei Li & Meghanath Macha & Chenshuo Sun & Natasha Ying Zhang Foutz, 2020. "Trading Privacy for the Greater Social Good: How Did America React During COVID-19?," Papers 2006.05859, arXiv.org.

Articles

  1. Peggy J. Liu & J. Jeffrey Inman & Beibei Li & Charlene A. Wong & Nathan Yang, 2022. "Consumer Health in the Digital Age," Journal of the Association for Consumer Research, University of Chicago Press, vol. 7(2), pages 198-209.
  2. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
  3. Mi Zhou & Dan Geng & Vibhanshu Abhishek & Beibei Li, 2020. "When the Bank Comes to You: Branch Network and Customer Omnichannel Banking Behavior," Information Systems Research, INFORMS, vol. 31(1), pages 176-197, March.
  4. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
  5. Anindya Ghose & Beibei Li & Siyuan Liu, 2019. "Mobile Targeting Using Customer Trajectory Patterns," Management Science, INFORMS, vol. 65(11), pages 5027-5049, November.
  6. Yingjie Zhang & Beibei Li & Xueming Luo & Xiaoyi Wang, 2019. "Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 787-804, September.
  7. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
  8. Ying Li & Hongduo Cao & Ying Zhang & Beibei Li, 2018. "Characteristics of Human Behavior in an Online Society," SAGE Open, , vol. 8(2), pages 21582440187, May.
  9. Nicholas H. Lurie & Jonah Berger & Zoey Chen & Beibei Li & Hongju Liu & Charlotte H. Mason & David M. Muir & Grant Packard & Joseph Pancras & Ann E. Schlosser & Baohong Sun & Rajkumar Venkatesan, 2018. "Everywhere and at All Times: Mobility, Consumer Decision-Making, and Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 15-27, March.
  10. Quan Wang & Beibei Li & Param Vir Singh, 2018. "Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis," Information Systems Research, INFORMS, vol. 29(2), pages 273-291, June.
  11. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2014. "Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue," Management Science, INFORMS, vol. 60(7), pages 1632-1654, July.
  12. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.

Chapters

  1. Lin William Cong & Beibei Li & Qingquan Tony Zhang, 2021. "Alternative Data in FinTech and Business Intelligence," Springer Books, in: Maurizio Pompella & Roman Matousek (ed.), The Palgrave Handbook of FinTech and Blockchain, edition 1, chapter 0, pages 217-242, Springer.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-PAY: Payment Systems and Financial Technology (3) 2020-07-13 2021-04-12 2022-02-14
  2. NEP-BIG: Big Data (1) 2022-02-14
  3. NEP-CMP: Computational Economics (1) 2022-02-14
  4. NEP-HEA: Health Economics (1) 2021-04-12
  5. NEP-HIS: Business, Economic and Financial History (1) 2022-02-14
  6. NEP-ICT: Information and Communication Technologies (1) 2020-07-13
  7. NEP-SOC: Social Norms and Social Capital (1) 2020-07-13

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