Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-5024-4092
Scopus Author ID: 57193133876
Impact
Qualifications (Brief)
PhD - information systems (The University of Texas at Austin)
Biography
Cenying (Tracy) Yang earned PhD in Information Systems from McCombs Business School at The University of Texas at Austin. Her research is focused on the value of emerging technologies and business innovation. She employs AI / machine learning and econometric methods to extract insights from large scale data in the context of automotive industry, retailing and financial markets. Her research falls in two major areas: IoT based products and business process, and FinTech.
Research Interests/Areas
- Internet of Things
- AI/machine learning
- FinTech
- machine learning
Teaching
business analytics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
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Research output
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A Double-Edged Sword: Examining the Impact of AI Involvement on Customer Purchase Behavior
Chen, J., Hu, Y., Yang, C. & Fu, X., Jun 2025, (Presented) p. 25.Research output: Conference Papers › RGC 33 - Other conference paper › peer-review
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AI as Scapegoat: Impact of Blame-shifting Behavior of Human Agents in Hybrid Service System
Chen, J., Yang, C. & Fu, X., Jun 2025, The 18th China Summer Workshop on Information Management - CSWIM 2025: PROCEEDINGS. p. 487Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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General Behavioral Impact of Smart System Warnings: A Case of Advanced Driving Assistance Systems
Yang, C., Agarwal, A. & Konana, P., 15 Apr 2025, (Online published) In: Production and Operations Management.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service
Zhang, J., Yang, C. & Feng, Y., 2024, Proceedings of the 57th Annual Hawaii International Conference on System Sciences. Bui, T. X. (ed.). University of Hawaii at Manoa, p. 5017-5026 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open AccessFile96 Downloads (CityUHK Scholars) -
Privacy for Driving Data, Profit for Whom? An Economic Analysis of Usage-Based Insurance under Competition
XUE, M., YANG, C. & YUE, W. T., 30 Jun 2024, (Presented).Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review