Ding, W., & Sabherwal, R. (2024). From Local Artifacts to Global Commodities: Understanding the Implications of ICTs and AI for Preserving Cultural Heritage. Journal of Global Information Technology Management, 27(3), 175-181. Article Link.
Ding, W. The Digital Diaspora Oscillation: A Literature Review on ICT’s Impact on Tibetan Refugees through Modern, Postmodern, and Post-Postmodern Lenses. Final round Minor Revision in ACM SIGMIS DATABASE [early version presented at HICSS].
Ding, W., Young, A., & Teodorescu, M. (2025, July 25-29). The 85th Annual Meeting of the Academy of Management (AOM 2025, forthcoming)
Ding, W., Zhu, Y., & Dong, X. (2024, June 29-30). Quantum Leap in Manufacturing: A Case Study on Enhancing Testing Processes through Quantum Computing Integration [Poster Presentation]. In Proceedings of the 17th China Summer Workshop on Information Management. Article Link.
Ding, W. (2024, Jan). The Ripple of Technology: A Literature Review on Examining the Impact of ICT on Tibetan Refugees Through the Lens of Modernity and Postmodernism. In Proceedings of the 57th Hawaii International Conference on System Sciences (pp.7039-7048). (HICSS-57 Best Paper Nominee) Article Link.
Ding, W., & Hoehle, H. (2023, Dec 10-13). AI-Assisted Diagnosis of Bone Tuberculosis: A Design Science Research Approach. ICIS 2023 Proceedings.13. (ICIS2023 Best Paper Nominee) Article Link.
Ding, W., & Sykes, T. A. (2021). Finding a Way to Address Historical Loan Inequalities with Better AI: Learning from Success and Failure. ICIS 2021 TREOs. 72. Article Link.
Ding, W., & Wan, H. (2020, August). Ensemble Incremental Learning Iterative Mechanism on Reject Inference. In 2020 International Conference on Computing and Data Science (CDS) (pp. 69-75). IEEE. Article Link.
Hu, X., Cheong, C. W., Ding, W., & Woo, M. (2017, March). A systematic review of studies on predicting student learning outcomes using learning analytics. In Proceedings of the seventh international learning analytics & knowledge conference (pp. 528-529). Article Link.
1. Ding, W., & Sykes, T. (2025, April 4-6). Unleashing the Power of Quantum Neural Networks for Fairer Credit Decisions: Mitigating Reject Inference Bias in Loan Default Risk Prediction [Paper Presentation]. The 21st Big XII+MIS Research Symposium
2. Ding, W., Young, A., & Teodorescu, M. (2025, Mar 28-30). AI Oversight in Rural Microlending: Driving Inclusion, Fairness, and Profitability [Poster Presentation]. 2025 Biz AI Conference: AI Applications in Business Research
3. Ding, W., & Sykes, T. A. (2024, June 8-9). Unleashing the Power of Quantum Neural Networks for Fairer Credit Decisions: Mitigating Reject Inference Bias in Loan Default Risk Prediction [Paper Presentation]. 2024 MIS Quarterly virtual Author Development Workshop.
4. Ding, W. (2024, Apr 11-12). Postmodern Affordance: Unveiling the Synergy of GAI Chatbots and Creative Identity in User-Driven Design [Accepted as Poster Presentation]. The 2024 Society for the Neuroscience of Creativity (SfNC) Conference, Toronto, Canada.
5. Young, A., & Ding, W. (2023, Oct). AI Oversight to Promote Fairness in Finance: A Win-Win for Lenders and Borrowers [Paper presentation]. 2023 INFORMS Annual Meeting, Phoenix, AZ, United States.
6. Ding, W., & Sabherwal, R. (2023). Human and AI Collaboration in Product-level Learning: Investigating AI Emphasis in Ambidexterity on Online Advertising [Accepted as Paper Presentation]. The 3rd Annual AIM (Artificial Intelligence in Management) Conference, Marshall School of Business, University of Southern California, Los Angeles, CA, United States.
7. Ding, W. (2022, May 19-20). Comparative Study of Structural Causal Model and Bayesian Network in Causal Inference on P2P Lending Business [Paper presentation]. The 2nd Annual AIM (Artificial Intelligence in Management) Virtual Workshop and Conference, Marshall School of Business, University of Southern California, Los Angeles, CA, United States.
8. Ding, W., & Sykes, T. A. (2022, April 2-3). Addressing Historical Loan Inequalities with Better AI: the Causal Inference behind Acceptance and Rejection [Paper presentation]. The 18th Annual Big XII+ MIS Research Symposium, Huston, TX, United States.
Ding, W., & Sykes, T. A. Unleashing the Power of Quantum Neural Networks for Fairer Credit Decisions: Mitigating Reject Inference Bias in Loan Default Risk Prediction. Under preparation for submission to Management Science. [conferences: Big XII+MIS, MISQ 2024 authorship workshop]
Ding, W., Young, A., & Teodorescu, M. AI Oversight: Interventions to Promote Fairness and Profit in Finance. Under preparation for submission to Management Information Systems Quarterly [conferences: AOM, BizAI, INFORMS]
Ding, W., Sabherwal, R., Awa, K., & Zabelina, D. Designing Minds: A Neuroscientific Exploration of Creativity and Affordances in Prosumer-Centric Generative Artificial Intelligent Chatbots. Under preparation for submission to Information Systems Research. [conferences: SfNC]
Ding, W., & Sabherwal, R. Structural Causal Modeling in Information Systems. Under preparation for submission to Information Systems Research.