Mei Li

Selected Publications:

• Li, M., Guo, H., Lee, C., & Shah, Rachna. (2024) Is In-Game Purchase a Guilty Pleasure? Negative Perceptions and Their Key Sources. Forthcoming at Production and Operations Management.
• Huang, Y., Li, M., Tsung, F. (2024) Mining Social Media Data via Supervised Topic Model: Can Social Media Posts Inform Customer Satisfaction? Forthcoming at Decision Sciences.
• Yang, Y., Wu, Y., Chang, X., Li, M., Tan, Y. (2024) Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making. Forthcoming at Production and Operations Management Journal. 
• Wang, Y., Li, M., Ma, N., Zhang, H. (2024). Product Service Outsourcing: Impact of Environmental Uncertainty and Partial Observability. Forthcoming at Manufacturing & Service Operations Management.
• Yan, Z., Li, M., Ni, J., McFadden, K. (2024). Examining Network Entry Decisions in Healthcare: Network and Organizational Characteristics. Decision Sciences 55(1): 68-87.
• Li, M, Choi, T., Sanders, N., Falcone, E., & Chang, X. (2021). The role of people in buyer–supplier collaboration: Strategic model vs. people-centric model. In Press, Journal of Purchasing and Supply Management.
• Li, M., Alam., Z., Bernardes, E., Giannoccaro, I., Skilton, P., Rahman., M. S. (2021). Out of Sight, Out of Mind? Modeling the Impacts of Financial Squeeze on Extended Supply Chain Networks. Forthcoming at Journal of Business Logistics.
• Li, M., Arifin, S. M. N., Devaraj, S., Madey, G. R., & Casetti, A. (2021). An exploratory study of the growth of the accountable care organization and its impact on physician groups’ profit: A complex adaptive system approach. In Press, Data Science and Management Journal.
• Chang, X., Huang, Y., Li, M., Bo, X., & Kumar, S. (2020). Efficient Detection of Environmental Violators: A Big Data Approach. Forthcoming at Production and Operations Management Journal.
• Skilton, P. F., Bernardes, E., Li, M., & Creek, S. A. (2020). The Structure of Absorptive Capacity in Three Product Development Strategies. Journal of Supply Chain Management, 56(3), 47-65.
• Li, M., Wu, Y., He, Y., Huang, S., & Nair, A. (2020). Sparse inverse covariance estimation: a data mining technique to unravel holistic patterns among business practices in firms. Decision Sciences Journal, 51(4), 1046-1073.
• Dong, B., Li, M., & Sivakumar, K. (2019). Online review characteristics and trust: A cross-country examination. Decision Sciences Journal, 50(3), 537-566.
• Li, M., Lin, Y., Huang, S., & Crossland, C. (2016). The use of sparse inverse covariance estimation for relationship detection and hypothesis generation in strategic management. Strategic Management Journal, 37(1), 86–97.
• Sivakumar, K., Li, M., & Dong, B. (2014). Service quality: The impact of frequency, timing, proximity, and sequence of failures and delights. Journal of Marketing, 78(1), 41–58.
• Li, M., Choi, T. Y., Rabinovich, E., & Crawford, A. (2013). Inter-customer interactions in self-service setting: Implications for perceived service quality and repeat purchasing intentions. Production and Operations Management Journal, 22(4), 888–914.
• Barratt, M., Choi, T. Y., & Li, M. (2011). Qualitative case studies in operations management: Trends and future research implications (1992–2007). Journal of Operations Management 29(4), 329–342.
• Li, M., & Choi, T. Y. (2009). Triads in services outsourcing: Bridge, bridge decay and bridge transfer. Journal of Supply Chain Management, 45(3), 27–39.