OPS Lab

In an era defined by escalating challenges related to platforms and supply chain management, the need for theoretical, practical, and sustainable solutions for operations and platforms management has never been more critical. The Operations and Platforms for Sustainability Lab (OPS Lab) emerges as a pivotal hub, dedicated to advancing theoretical concepts and bridging the gap between theoretical concepts and their practical, real-world implementation.

Recognizing that sustainability requires both innovative platform/technology strategies and sustainably optimal operations management, the OPS Lab focuses on proposing and deploying optimal supply chain management strategies and developing cutting-edge digital platform strategies for sustainability.

By discovering theoretical concepts, promoting data-driven decision-making, and fostering interdisciplinary collaboration, the OPS Lab is committed to driving meaningful change and accelerating the transition towards a more resilient and sustainable future. The OPS Lab serves as a dynamic environment where research, technology, and practical application converge, empowering individuals, organizations, and policymakers to create a lasting positive impact on our society. This laboratory serves as a hub for:

Platform Strategies

Bhargava, H., Lee, J., Qu, X., and Sun, D. (2025) The Influence of Malicious Behavior on Online Ratings: Seller Strategies and Platform Support. Working paper.

Hou, L., Qu, X., Chen, Y., and Xue, L. (2025) Strategizing Value-Added Services for Platform Firms. Production and Operations Management, Forthcoming

Liang, D., Feng, H., Qu, X., Feng, N., and Li, M. (2025) Too Big to Cooperate with a Platform? —Effects of Loyal Customer Base and Commission Rate on Firm’s Channel Choices. Journal of the Association for Information Systems, Forthcoming

Bhargava, H.K., Kim, B., and Sun, D. (2013). Commercialization of Platform Technologies: Launch Timing and Versioning Strategy. Production and Operations Management, 22(6), 1374–1388.

Ryan, J.K., Sun, D., and X. Zhao (2012). Competition and Coordination in Online Marketplaces. Production and Operations Management, 21(6), 997-1014.

Sun, D., Ryan, J., and Shin, H. (2008). Why Do We Observe Stockless Operations on the Internet? – Stockless Operation under Competition. Production and Operations Management, 17(2), 139-149.

 

Innovative Technology Management

Son, Y. and Oh, W. (2023). Digitalization of loyalty: Impacts of mobile technology on reward redemption and engagement level. Journal of Management Information Systems, 40(4), pp.1301-1327.

Wang, J., Huang, T., and Lee, J. (2023) Cross-Licensing in a Supply Chain with Asymmetric Manufacturers. Manufacturing & Service Operations Management, 25(5):1855-1872.

Lee, J., Krishnan, V., and Shin, H. (2020) Business models for technology-intensive supply chains. Management Science, 66(5), pp.2120-2139.

Krishnan, V., Lee, J., Mnyshenko, O., and Shin, H. (2019) Inclusive innovation: Product innovation in technology supply chains. Manufacturing & Service Operations Management, 21(2), pp.327-345.

Guo, H., Hao, L., Mukhopadhyay, T., and Sun, D. (2019) Selling Virtual Currency in Digital Games: Implications on Gameplay and Social Welfare. Information Systems Research, 30(2), 430–446

Jiang, Z., Qu, X., and Jain, D. (2019) Optimal Market Entry Timing for Successive Generations of Technological Innovations. MIS Quarterly, 43(3), pp.787-806.

Jiang, Z., Scheibe, K.P., Nilakanta, S., and Qu, X. (2017) The Economics of Public Beta Testing. Decision Sciences, 48(1), pp. 150-175.

 

Operations Management for Sustainability

Lee, J., Lai, W., Tan, Y., and Hu, M. (2025) Shades of Green: The Hidden Impact of Prosumers and Its Mitigation. Working paper

Zhai, C., Bretthauer, K., Mejia, J., and Pedraza‐Martinez, A. (2023). Improving drinking water access and equity in rural Sub‐Saharan Africa. Production and Operations Management, 32(9), 2921-2939.

Ryan, J., Shao, L., and Sun, D. (2022) Contracting Mechanisms for Stable Sourcing Networks. Manufacturing & Service Operations Management, 24(5), 2558-2576

Li, Z., Lu, S., Ryan, J., and Sun, D. (2021) Impact of Organizational Structure on Development Strategy under Equity-Based Incentives. Production and Operations Management, 30(4), 984-996

Li, Z., Ryan, J., Shao, L., and Sun, D. (2019) Incentive-Compatible in Dominant Strategies Mechanism Design for an Assembler under Asymmetric Information. Production and Operations Management, 28(2), 479-496

Qu, X. and Jiang, Z. (2019) A Time-Based Dynamic Synchronization Policy for Consolidated Database Systems. MIS Quarterly, 43(4), pp. 1041-1058.

Li, Z., Ryan, J., Shao, L., and Sun, D. (2015) Supply Contract Design for Competing Heterogeneous Suppliers under Asymmetric Information. Production and Operations Management, 24(5), 791–807.

 

Data-Driven Operations Strategies

Han, E., and Nohadani, O. (2024) Nonlinear Decision Rules Made Scalable by Nonparametric Liftings. Management Science, Forthcoming

Bhargava, H.K., Qu, X., Son, Y., and Sun, D. (2024) Capitalizing on the Moment: The Strategic Role of Information Disclosure in Online Crowdfunding. Production and Operations Management, Forthcoming

Bandi, C., Han, E., and Proskynitopoulos, A. (2024) Robust Queue Inference from Waiting Times. Operations Research, 72(2), 459-480.

Son, Y., Wowak, K.D., and Angst, C.M. (2024) Does greater visibility benefit minority businesses? evidence from an online review platform. Production and Operations Management, Forthcoming

Son, Y., Choi, A.A., Wowak, K.D. and Angst, C.M. (2024) Gender mismatch and bias in people‐centric operations: Evidence from a randomized field experiment. Journal of Operations Management, 70(5), pp.686-711.

Han, E., Bandi, C., and Nohadani, O. (2023) On Finite Adaptability in Two-Stage Distributionally Robust Optimization. Operations Research, 71(6), 2307-2327.

Qu, X., Lotfi, A., Jiang, Z., and Jain, D. (2022) Predicting Time to Upgrade under Successive Product Generations: A Survival Model with Exponential-Decay Baseline Function. Production and Operations Management, 31(5), 2067–2083.

O’Neil, S., Zhao, X., Sun, D., and Wei, J. (2016) Newsvendor Problems with Demand Shocks and Unknown Demand Distributions. Decision Sciences, 47(1), 125-156.

Porter, C., Devaraj, S., and Sun, D. (2013) A Test of Two Models of Value Creation in Virtual Communities. Journal of Management Information Systems, 30(1), 261-292.

 

Socially Impactful Strategies

Lee, J., Ryan, J., Shin, H., and Sun, D. (2025) The Impacts of a Non-profit Organization on Drug Shortages. Working paper.

Lee, J., Lee, H., Noh, I., and Staats, B. (2025) Learning in Recovery from Disruption: Empirical Evidence from the US Drug Shortages. Working paper.

Qu, X., Bilson Darku, F., and Guo, H. (2025) Shapley-Value-Based Feature Attribution for Data Privacy Protection. MIS Quarterly, Forthcoming

Zhai, C., Bretthauer, K., Mejia, J., and Pedraza‐Martinez, A. (2023). Improving drinking water access and equity in rural Sub‐Saharan Africa. Production and Operations Management, 32(9), 2921-2939.

Park, J., Son, Y., and Angst, C.M. (2023). The Value of Centralized IT in Building Resilience During Crises: Evidence from US Higher Education’s Transition to Emergency Remote Teaching. MIS Quarterly, 47(1).

Lee, J., Lee, H., Shin, H., and Krishnan, V. (2021) Alleviating Drug Shortages: The Role of Mandated Reporting-Induced Operational Transparency. Management Science, 67(4),pp.2326-2339.

Shao, L., Ryan, J., and Sun, D. (2020) Responsible Sourcing under Asymmetric Information: Price Signaling vs. Supplier Disclosure. Decision Sciences, 51(5), 1082-1109

Bandi, C., Han, E., and Nohadani, O. (2019) Sustainable Inventory with Robust Periodic-Affine Policies and Application to Medical Supply Chains. Management Science, 65(10) 4636-4655.