Ujjal Mukherjee

Articles

• Mukherjee, U. (2020). Does Organizational Forgetting Affect Quality Knowledge Gained Through Spillover?-Evidence from the Automotive Industry. Production and Operations Management, 29 (4), 907-934.
• Mukherjee, U. (2020). Robot-assisted surgical care delivery at a hospital: Policies for maximizing clinical outcome benefits and minimizing costs. Journal of Operations Management, 66 (1-2), 227-256.
• Mukherjee, U. (2019). Explaining Heterogeneity in Environmental Management Practice Adoption across Firms. Production and Operations Management, 28 (11), 2898-2918.
• Mukherjee, U., & Sinha, K. (2018). Product Recall Decisions in Medical Device Supply Chains: A Big Data Analytic Approach to Evaluating Judgment Bias. Production and Operations Management, 27 (10), 1816-1833.
• Mukherjee, U. (2018). Assessing the cytotoxicity of ambient particulate matter (PM) using. Chinese hamster ovary (CHO) cells and its relationship with the PM chemical composition and oxidative potential. 179 132-141.
• Mukherjee, U., Sinha, K., & Kohnke, E. (2017). Delivering Long-term Surgical Care in Under-served Communities: The Enabling Role of International NPOs as Partners. Production and Operations Management.
• Mukherjee, U., Sinha, S., Bosch, S., & Sinha, K. (2014). Critical and Complex Technological Capability Development for Health Care Delivery: Multiyear Field Study of a Surgical (da Vinci) Robot in a Multispecialty Hospital. Journal of Medical Devices (ASME), 8 (3).
• Mukherjee, U., & Chatterjee, S. (2014). A Fay-Herriot Type Approach to Better Prediction in Multi-indexed Response with Application to Arctic Sea-water Data Analysis. Journal of Indian Society of Agricultural Statistics, 68 (2).

Conference Proceedings

• Bose, S., Souyris, S., Ivanov, A., Mukherjee, U., Seshadri, S., & , Y. (2021). Control of Epidemic Spreads via Testing and Lock-Down. ( pp. 4272-4279). 60th IEEE Conference on Decision and Control.
• Mukherjee, U. (2019). A novel computational combination-therapy prediction algorithm (secDrug) identifies the Nampt inhibitor FK866 reverses PI-resistant multiple myeloma. ( 13 ed vol. 79,). Annual Meeting of the American-Association-for-Cancer-Research (AACR.
• Mukherjee, U., & Chatterjee, S. (2014). Fast Algorithm for Computing Weighted Projection Quantiles, Quantile Regression and Data Depth for High-Dimensional Large Data Clouds. 2014 IEEE International Conference on Big Data.

Presentations

• Mukherjee, U., & Seshadri, S. (2022). Epidemic Modeling, Prediction, and Control. INFORMS Annual Conference, INFORMS Society.
• Mukherjee, U. (2014). “Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variations Design of Medical Devices Annual Conference.
• Mukherjee, U. (2014). Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variation Minnesota Healthcare Research Conference.
• Mukherjee, U. (2014). Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variations Production and Operations Management Meeting.
• Mukherjee, U. (2014). Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variations Annual MSOM Conference Workshop.
• Mukherjee, U. (2014). Fast Algorithm for Computing Weighted Projection Quantiles, Quantile Regression and Data Depth for High-Dimensional Large Data Clouds IEEE Conference on Big Data Analytics.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices International Symposium of Information Systems.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices Medtronic Big Data and Advanced Analytics Symposium.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices American Society of Quality (ASQ.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices Annual Conference of the Institute of Engineering in Medicine.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices Annual MSOM Conference Workshop.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices Production and Operations Management Meeting.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices Social Media and Business Analytics Collaborative (SOBACO) Annual Conference.
• Mukherjee, U. (2014). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices Wharton Technology and Innovation Conference.
• Mukherjee, U. (2014). Strategic Management of Medical Equipment and Devices: From Maintenance Management to Strategic Asset Management Annual Conference of the North Central Biomedical Association.
• Mukherjee, U. (2013). Analyzing Sources of Innovation Failures in Medical Devices: An Analytic Framework Production and Operations Management Meeting.
• Mukherjee, U. (2013). Analyzing Sources of Innovation Failures in Medical Devices: An Empirical Modeling Framework Production and Operations Management Meeting.
• Mukherjee, U. (2013). Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variation Life Sciences Alley Annual Conference.
• Mukherjee, U. (2013). Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variations Annual Conference of the Institute of Engineering in Medicine.
• Mukherjee, U. (2013). Critical and Complex Technological Capability Development for Health Care Delivery: Econometric Analysis of the Effect of Technology Innovation on Reducing Process and Outcome Variations INFORMS Annual Meeting.
• Mukherjee, U. (2013). Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices INFORMS Annual Meeting.
• Mukherjee, U. (2012). Sequential Innovation in New Product Development: Product Architecture and Versioning strategy INFORMS Annual Meeting.
• Mukherjee, U. (2012). Sources of Failures in the Medical Device Industry: An Empirical Analysis Production and Operations Management Meeting.
• Mukherjee, U. (2011). Strategic Linkages of Modular Product Designs Decision Science Institute Annual Meeting.

Working Papers

• Hao, S., Xu, Y., Mukherjee, U., Seshadri, S., Ahsen, M., Bose, S., Ivanov, A., Souyris, S., & Sridhar, P. Hotspots for Emerging Epidemics: Multi-Task and Transfer Learning over Mobility Networks.
• Mukherjee, U., Ye, H., Chhajed, D., Hirsbrunner, J., & Roloff, C. A Framework for Preventive Intervention and Resource Optimization for Population Level Diabetes Care.
• Mukherjee, U., Ye, H., Chhajed, D., Hirsbrunner, J., & Roloff, C. Socio-Economic and Operational Determinants of Inequity in Healthcare Outcome: From Explanatory to Predictive Modeling.
• Mukherjee, U. Firm Learning from Failures and Recalls of Products in Supply Chains.
• Mukherjee, U., & Juneja, B. The Effect of Social Disparity, Access and Affordability on Cardiac Healthcare Delivery: A Population-level Study using National Health and Nutrition Study (NHANES) Multi-year Database.
• Mukherjee, U., & Sinha, K. Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices.
• Mukherjee, U., Sinha, S., Bosch, S., & Sinha, K. Enabling Health Care Delivery with High Tech Innovation: A Longitudinal Field Study of Robot-Assisted Surgery.