Articles

• Gopukumar, D., Ghoshal, A., & Zhao, H. (2022). Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach. Journal of Medical Internet Research - Medical Informatics, JMIR Medical Informatics, 10 (8).
• Dey, D., Ghoshal, A., & Lahiri, A. (2022). Circumventing Circumvention: An Economic Analysis of the Role of Education and Enforcement. Management Science, INFORMS, 68 (4), 2377-3174.
• Menon, S., Ghoshal, A., & Sarkar, S. (2021). Modifying Transactional Databases to Hide Sensitive Association Rules. Information Systems Research, INFORMS, 33 (1), 1-398.
• Ghoshal, A., Mookerjee, V., & Sarkar, S. (2021). Recommendations and Cross-selling: Pricing Strategies when Personalizing Firms Cross-sell. Journal of Management Information Systems, 38 (2), 430-456.
• Dey, D., Ghoshal, A., & Lahiri, A. (2021). Support Forums and Software Vendor's Pricing Strategy. Information Systems Research, INFORMS, 32 (2).  link >
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2020). Dilemma of Data Sharing Alliance: When Do Competing Personalizing and Non-Personalizing Firms Share Data. Production and Operations Management, 29 (8), 1918-1936.  link >
• Ghoshal, A., Hao, J., Menon, S., & Sarkar, S. (2020). Hiding Sensitive Information When Sharing Distributed Transactional Data. Information Systems Research, 31 (2), 473–490.  link >
• Ghoshal, A., Lahiri, A., & Dey, D. (2017). Drawing a Line in the Sand: Commitment Problem in Ending Software Support. MIS Quarterly, 41 (4), 1227-1247.  link >
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2015). Impact of Recommender System on Competition Between Personalizing and Non-Personalizing Firms. Journal of Management Information Systems, 31 (4), 243-277.  link >
• Ghoshal, A., Menon, S., & Sarkar, S. (2015). Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach. Information Systems Research.  link >
• Ghoshal, A., & Sarkar, S. (2014). Association Rules for Recommendations with Multiple Items. INFORMS Journal on Computing, 26:3 433-448.  link >

Book Chapters

• Dutta, K., Ghoshal, A., & Kumar, S. (2016). The Interdependence of Data Analytics and Operations Management. The Routledge Companion to Production and Operations Management.

Conference Proceedings

• Ghoshal, A., Larson, E., Subramanyam, R., & Shaw, M. (2015). The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. Academy of Management Annual Meeting.
• Ghoshal, A., Larson, E., Subramanyam, R., & Shaw, M. (2014). The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. International Conference on Information Systems.

Presentations

• Dey, D., Ghoshal, A., & Lahiri, A. (2024). Breach Disclosure Forums: A Microeconomic Perspective. Conference on Information Systems and Technologies CIST 2024.
• Gokhale, S., Anand, G., & Ghoshal, A. (2024). The Impact of Supply Chain Cyberattacks on the Performance of Downstream Firms. INFORMS 2024.
• Li, S., Ghoshal, A., & Fang, C. (2024). Regulating AI-Powered Tools: Pricing and Dynamic Cybersecurity Investments. INFORMS 2024, INFORMS.
• Gokhale, S., Anand, G., Gao, Y., & Ghoshal, A. (2024). Impact of Supply Chain Cyberattacks on the Performance of Downstream Firms in the Supply Chain. Production and Operations Management.
• Ghoshal, A., Li, Y., Menon, S., & Sarkar, S. (2023). A Quantum Algorithm Based Heuristic to Hide Sensitive Itemsets. Workshop on Information Technologies and Systems (WITS) 2023.
• Ivanov, A., Ghoshal, A., & Kumar, A. (2022). How Can E-Commerce Platforms Identify “Out-of-Favor” Products? A Data Analytic Approach to System Design. 2022 Workshop on Information Technology and Systems.
• Ghoshal, A., Sarkar, S., & Menon, S. (2022). Preserving Degree Distributions when Sampling from Networks. Productions and Operations Management Conference.
• Ghoshal, A., Gopukumar, D., & Zhao, H. (2022). Multi-task Learning-based eXplainable Artificial Intelligence Approach: Identifying Common Predictors to Shape Future Readmission Policies Conference on Health IT and Analytics.
• Ghoshal, A., Menon, S., & Sarkar, S. (2021). Aggregating Histograms for Machine Learning. Workshop on Information Technologies and Systems.
• Ghoshal, A., Menon, S., & Sarkar, S. (2021). Preserving Degree Distributions When Sampling from Networks. INFORMS Data Science Workshop.
• Ghoshal, A. (2021). Preserving Degree Distributions When Sampling from Networks. University of Iowa.
• Ghoshal, A., Menon, S., & Sar, S. (2021). Preserving Degree Distributions When Sampling from Networks. INFORMS Workshop on Data Science.
• Ghoshal, A. (2021). Ad-Campaign to Maximize Profit under Impression and Budget Constraints. George Mason University.
• Ghoshal, A. (2021). Ad-Campaign to Maximize Profit under Impression and Budget Constraints. Penn State University, Smeal C.
• Jabr, W., Ghoshal, A., Cheng, Y., & Pavlou, P. (2019). A Clickstream-Based Approach to Predict Customer Behavior and Facilitate Conversion. Workshop on Information Technologies and Systems.
• Kim , Y., Wang, Y., & Ghoshal, A. (2019). Imagine It or Image It? The Effectiveness of User Generated Reviews in Pictures. Workshop on Information Technologies and Systems.
• Menon, S., Ghoshal, A., Sarkar, S., & Hao, J. (2019). Hiding Sensitive Itemsets in Shared Transactional Databases: Minimizing the Number of Items Removed. International Conference on Information Systems.
• Dey, D., Ghoshal, A., & Atanu, L. (2019). Support Forum and Software Vendor's Pricing Strategy. Theory of Economics of Information Systems.
• Ghoshal, A., Hao, J., Menon, S., & Sarkar, S. (2019). Hiding Sensitive Information Prior to Sharing Distributed Transactional Databases. Production and Operations Management Conference, POM.
• Ghoshal, A., Menon, S., & Sarkar, S. (2019). Data Sharing, Privacy and Rule Hiding. Conference on Digital Economy (CODE.
• Ghoshal, A., Mookerjee, R., & Sun, Z. (2019). Maximizing Clicks in a Budget Constrained Ad-Campaign. Production and Operations Management Conference, POM.
• Dey, D., Ghoshal, A., & Lahiri, A. (2018). Security Circumvention: To Educate or To Enforce? Theory of Economics of Information Systems.
• Ghoshal, A., Mookerjee, R., & Sun, Z. (2018). Maximizing Clicks in a Budget Constrained Ad-Campaign. Conference of Information Systems and Technologies.
• Ghoshal, A., Menon, S., & Sarkar, S. (2017). Hiding Sensitive Information Prior to Sharing Distributed Transactional Databases. INFORMS Workshop on Data Science, INFORMS.
• Ghoshal, A., Mookerjee, V., & Sarkar, S. (2017). Recommender System and Cross-selling: Monopoly and Duopoly. INFORMS Annual Meeting, INFORMS.
• Ghoshal, A., Mookerjee, V., & Sarkar, S. (2016). Economic Analysis of the Impact of Recommender Systems on Product Search. INFORMS Annual Meeting.
• Ghoshal, A., Lahiri, A., & Dey, D. (2015). Cross the Line in the Sand? Extending Support for Older Versions of Software. INFORMS Annual Meeting.
• Ghoshal, A., Lahiri, A., & Dey, D. (2015). Extending Software Support: The Commitment Problem Underneath. Workshop on Information Systems Economics, ICIS.
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2014). Data Sharing between Personalizing and Non-Personalizing Firms. Conference on Information Systems and Technology.
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2014). Locking Effects of Recommender Systems: A Competitive Analysis. Workshop on Information Technologies and Systems, ICIS.
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2014). Opportunistic Data Sharing between Personalizing and Non-personalizing Firms. INFORMS Annual Meeting.
• Ghoshal, A., Larson, E., Subramanyam, R., & Shaw, M. (2014). The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. International Conference on Information Systems.
• Ghoshal, A., Menon, S., & Sarkar, S. (2014). Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach. Production and Operations Management Conference, POMS.
• Ghoshal, A., Subramanyam, R., & Shaw, M. (2014). The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption International Conference on Information Systems.
• Ghoshal, A., Menon, S., & Sarkar, S. (2013). Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach. INFORMS Annual Meeting, INFORMS.
• Ghoshal, A., Mookerjee, V., & Sarkar, S. (2013). Economic Impact of Recommender Systems on Firms and Customers. INFORMS Annual Meeting, INFORMS.
• Ghoshal, A., Subramani, M., & Gupta, A. (2012). Allocating Shared Resources Optimally for Call Center Operations and Knowledge Management Activities. INFORMS Annual Meeting, INFORMS.
• Ghoshal, A., Subramani, M., & Gupta, A. (2012). Allocating Shared Resources Optimally for Call Center Operations and Knowledge Management Activities. International Conference on Information Systems.
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2011). Locking Effects of Recommender Systems: A Competitive Analysis. INFORMS Annual Meeting.
• Ghoshal, A., Menon, S., & Sarkar, S. (2011). Sponsored Search: The Sum is Larger than its Parts. Workshop on Information Technologies and Systems, ICIS.
• Ghoshal, A., Menon, S., Sarkar, S., & Atahan, P. (2011). A Framework for Personalized Sponsored Search. INFORMS Annual Meeting, INFORMS.
• Ghoshal, A., Kumar, S., & Mookerjee, V. (2010). Locking Effects of Recommender Systems: Impact of Data Sharing. Workshop on Information Technologies and Systems, ICIS.
• Ghoshal, A., & Sarkar, S. (2009). Mining Association Rules with Disjunctions in Consequents. INFORMS Annual Meeting, INFORMS.
• Ghoshal, A., Menon, S., & Sarkar, S. (2009). Recommendations Using Information from Multiple Association Rules. 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST.
• Ghoshal, A., Menon, S., & Sarkar, S. (2009). Recommendations Using Information from Multiple Association Rules. Seventh Annual Big XII+ MIS Research Symposium.
• Ghoshal, A., Sarkar, S., & Mookerjee, V. (2009). Do Recommender Systems Always Benefit Firms by Reducing Consumer Search Effort? International Conference on Information Systems, ICIS.
• Ghoshal, A., & Sarkar, S. (2008). Mining Association Rules with Disjunctions in Consequents. Conference on Information Systems and Technology, INFORMS.