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Subodha Kumar

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Subodha Kumar

  • Fox School of Business and Management

    • Statistics, Operations, and Data Science

      • Paul R. Anderson Professor

Biography

Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science and the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business. He has a secondary appointment in Information Systems. He also serves as the Concentration Director for Ph.D. Program in Operations and Supply Chain Management. Prof. Kumar’s personal page can be accessed at: https://sites.temple.edu/subodha/.

Prof. Kumar is a board member of many organizations. China’s Ministry of Education has awarded him a Changjiang Scholars Chair Professorship. He is also a Visiting Professor at the Indian School of Business (ISB). He has served on the University of Washington and Texas A&M University faculty.

Subodha was awarded the INFORMS Information Systems Society (ISS) Distinguished Fellow Award in 2023. He was also elected to become a Production and Operations Management Society (POMS) Fellow in 2019. To honor Subodha, the Management and Business Review has instituted “The Subodha Kumar and Geoffrey G. Parker Award for Research on Digital Transformation.” He has received numerous other research and teaching awards.

Subodha has published more than 240 papers in reputed journals and refereed conferences. He was ranked #1 worldwide for publishing in Information Systems Research. In addition, he has authored two books, book chapters, Harvard Business School cases, and Ivey Business School cases. He also holds a robotics patent. He has also received grants from national agencies such as the National Institute of Health (NIH).

Prof. Kumar is routinely cited in different media outlets, including the New York Times, the Wall Street Journal, NBC, CBS, Fox, Business Week, Marketplace, and the New York Post. He is the Deputy Editor of the Production and Operations Management Journal and the Founding Executive Editor of Management and Business Review (MBR). He also serves on other editorial boards. He was the conference chair for the POMS Annual Conference 2018 and Decision Sciences Institute (DSI) Annual Conference 2018 and has co-chaired several other conferences.

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Blockchain
  • Fintech
  • Healthcare Analytics
  • Social Media Analytics
  • Web Analytics
  • Supply Chain Analytics
  • Cybersecurity
  • Software Management
  • Data Quality and Data Mining
  • Sequencing and Scheduling

Courses Taught

Number

Name

Level

MKTG 3509

Customer Data Analytics

Undergraduate

BA 9683

Research Project I

Graduate

BA 9783

Research Project II

Graduate

BA 9812

Innovation and Entrepreneurship in the New Economy

Graduate

BA 9883

Research Project III

Graduate

MKTG 5111

Customer Data Analytics

Graduate

MSOM 5806

Managing Operations in the Enterprise

Graduate

MSOM 9101

Continuous and Nonlinear Optimization Methods

Graduate

MSOM 9102

Linear and Discrete Optimization

Graduate

Selected Publications

Recent

  • Rivera, M., Jiang, C., & Kumar, S. (2024). Seek and Ye Shall Find: An Empirical Examination of the Effects of Seeking Real-Time Feedback on Employee Performance Evaluations. Information Systems Research, 35(2), 783-806. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2021.0130.

  • Kumar, S. & Singhal, V.R. (2024). Ten Most Influential Papers From the First Thirty Years of the Production and Operations Management Journal. Production and Operations Management, 33(5), 1061-1063. SAGE Publications. doi: 10.1177/10591478241250036.

  • Pei, J., Yan, P., & Kumar, S. (2023). No Permanent Friend or Enemy: Impacts of the IIoT-Based Platform in the Maintenance Service Market. Management Science, 69(11), 6800-6817. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.2023.4733.

  • Kumar, S., Wang, Y., & Chen, H. (2023). Special Issue Editorial: Behavioral Pricing in the Platform Economy. Decision Sciences, 54(4), 432-433. Wiley-Blackwell.

  • Fan, W., Zhou, Q., Qiu, L., & Kumar, S. (2023). Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments. Information Systems Research, 34(2), 629-651. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2022.1145.

  • Gupta, S., Roy, A., Kumar, S., & Mudambi, R. (2023). When Worse Is Better: Strategic Choice of Vendors with Differentiated Capabilities in a Complex Cocreation Environment. Management Science, 69(5), 2833-2851. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.2022.4490.

  • Kumar, S. & Mallipeddi, R.R. (2022). Impact of cybersecurity on operations and supply chain management: Emerging trends and future research directions. Production and Operations Management, 31(12), 4488-4500. SAGE Publications. doi: 10.1111/poms.13859.

  • Kumar, S. & Tang, C.S. (2022). Expanding the boundaries of the discipline: The 30th‐anniversary issue of Production and Operations Management. Production and Operations Management, 31(12), 4257-4261. SAGE Publications. doi: 10.1111/poms.13846.

  • Kumar, N., Qiu, L., & Kumar, S. (2022). A Hashtag Is Worth a Thousand Words: An Empirical Investigation of Social Media Strategies in Trademarking Hashtags. Information Systems Research, 33(4), 1403-1427. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2022.1107.

  • Gupta, S., Parra, C.M., & Kumar, S. (2022). Emerging research problems in different business domains: An analytics perspective. Production and Operations Management, 31(10), 3647-3650. SAGE Publications. doi: 10.1111/poms.13875.

  • Fan, W., Zong, Y., & Kumar, S. (2022). Optimal treatment of chronic kidney disease with uncertainty in obtaining a transplantable kidney: an MDP based approach. Annals of Operations Research, 316(1), 269-302. Springer Science and Business Media LLC. doi: 10.1007/s10479-020-03779-2.

  • Gao, H., Kumar, S., Tan, Y.R., & Zhao, H. (2022). Socialize More, Pay Less: Randomized Field Experiments on Social Pricing. Information Systems Research, 33(3), 935-953. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2021.1089.

  • Kumar, S., Singhal, J., & Singhal, K. (2022). A Programmed Method for Generating New Product Ideas from an Existing Product Line. Decision Sciences, 53(4), 771-776. Wiley. doi: 10.1111/deci.12492.

  • Kumar, S. (2022). A Brief History of the Internet and the World Wide Web. Management and Business Review, 2(1), 67-72. Retrieved from https://mbrjournal.com/2022/08/14/a-brief-history-of-the-internet-and-the-world-wide-web/.

  • Kumar, S., Qiu, L., Sen, A., & Sinha, A.P. (2022). Putting analytics into action in care coordination research: Emerging issues and potential solutions. Production and Operations Management, 31(6), 2714-2738. SAGE Publications. doi: 10.1111/poms.13771.

  • Li, B. & Kumar, S. (2022). Managing Software‐as‐a‐Service: Pricing and operations. Production and Operations Management, 31(6), 2588-2608. SAGE Publications. doi: 10.1111/poms.13729.

  • Gour, A., Aggarwal, S., & Kumar, S. (2022). Lending ears to unheard voices: An empirical analysis of user‐generated content on social media. Production and Operations Management, 31(6), 2457-2476. SAGE Publications. doi: 10.1111/poms.13732.

  • Qiu, L., Kumar, S., Sen, A., & Sinha, A.P. (2022). Impact of the Hospital Readmission Reduction Program on hospital readmission and mortality: An economic analysis. Production and Operations Management, 31(5), 2341-2360. SAGE Publications. doi: 10.1111/poms.13724.

  • Delasay, M., Jain, A., & Kumar, S. (2022). Impacts of the COVID‐19 pandemic on grocery retail operations: An analytical model. Production and Operations Management, 31(5), 2237-2255. SAGE Publications. doi: 10.1111/poms.13717.

  • Stekelorum, R., Gupta, S., Laguir, I., Kumar, S., & Kumar, S. (2022). Pouring cement down one of your oil wells: Relationship between the supply chain disruption orientation and performance. Production and Operations Management, 31(5), 2084-2106. SAGE Publications. doi: 10.1111/poms.13708.

  • Zhao, W., Liu, Q.B., Guo, X., Wu, T., & Kumar, S. (2022). Quid pro quo in online medical consultation? Investigating the effects of small monetary gifts from patients. PRODUCTION and OPERATIONS MANAGEMENT, 31(4), 1698-1718. 10.1111/poms.13639

  • Stauffer, J.M., Vanajakumari, M., Kumar, S., & Mangapora, T. (2022). Achieving equitable food security: How can food bank mobile pantries fill this humanitarian need. PRODUCTION and OPERATIONS MANAGEMENT, 31(4), 1802-1821. 10.1111/poms.13663

  • Petryk, M., Rivera, M., Bhattacharya, S., Qiu, L., & Kumar, S. (2022). How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation. INFORMATION SYSTEMS RESEARCH. 10.1287/isre.2022.1110

  • Chuang, H.H., Oliva, R., & Kumar, S. (2022). Group‐level information decay and inventory inspection: An empirical‐analytical approach. Journal of Operations Management, 68(2), 130-152. Wiley. doi: 10.1002/joom.1167.

  • Choi, T., Kumar, S., Yue, X., & Chan, H. (2022). Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond. Production and Operations Management, 31(1), 9-31. doi: 10.1111/poms.13622.

  • Mallipeddi, R.R., Kumar, S., Sriskandarajah, C., & Zhu, Y. (2022). A Framework for Analyzing Influencer Marketing in Social Networks: Selection and Scheduling of Influencers. Management Science, 68(1), 75-104. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.2020.3899.

  • Kumar, S. & Qiu, L. (2021). Social Media Analytics and Practical Applications The Change to the Competition Landscape. CRC Press.

  • Saha, R.L., Singha, S., & Kumar, S. (2021). Does Congestion Always Hurt? Managing Discount Under Congestion in a Game-Theoretic Setting. Information Systems Research, 32(4), 1347-1367. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2021.1040.

  • Chen, R., Kumar, S., Singhal, J., & Singhal, K. (2021). Note: The value and cost of the customer’s waiting time. Manufacturing and Service Operations Management, 23(6), 1539-1542. doi: 10.1287/msom.2020.0914.

  • Vedantam, A., Demirezen, E., & Kumar, S. (2021). Trade-In or Sell in My P2P Marketplace: A Game Theoretic Analysis of Profit and Environmental Impact. Production and Operations Management, 30(11), 3923-3942. doi: 10.1111/poms.13558.

  • Chen, W., Lu, Y., Qiu, L., & Kumar, S. (2021). Designing Personalized Treatment Plans for Breast Cancer. Information Systems Research, 32(3), 932-949. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2021.1002.

  • Timoumi, A., Singh, N., & Kumar, S. (2021). Is Your Retailer a Friend or Foe: When Should the Manufacturer Allow Its Retailer to Refurbish? Production and Operations Management, 30(9), 2814-2839. doi: 10.1111/poms.13548.

  • Kistler, J., Janakiraman, R., Kumar, S., & Tiwari, V. (2021). The Effect of Operational Process Changes on Preoperative Patient Flow: Evidence from Field Research. Production and Operations Management, 30(6), 1647-1667. doi: 10.1111/poms.13301.

  • Rivera, M., Qiu, L., Kumar, S., & Petrucci, T. (2021). Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace. Information Systems Research, 32(2), 517-540. doi: 10.1287/isre.2020.0979.

  • Chang, X., Huang, Y., Li, M., Bo, X., & Kumar, S. (2021). Efficient Detection of Environmental Violators: A Big Data Approach. Production and Operations Management, 30(5), 1246-1270. doi: 10.1111/poms.13272.

  • Youn, S., Heim, G., Kumar, S., & Sriskandarajah, C. (2021). Examining the Impacts of Clinical Practice Variation on Operational Performance. Production and Operations Management, 30(4), 839-863. doi: 10.1111/poms.13256.

  • Mallipeddi, R., Janakiraman, R., Kumar, S., & Gupta, S. (2021). The effects of social media content created by human brands on engagement: Evidence from indian general election 2014. Information Systems Research, 32(1), 212-237. doi: 10.1287/isre.2020.0961.

  • Chen, M., Pang, M., & Kumar, S. (2021). Do you have a room for us in your it? an economic analysis of shared it services and implications for it industries. MIS Quarterly: Management Information Systems, 45(1), 225-268. doi: 10.25300/MISQ/2021/15573.

  • Stauffer, J. & Kumar, S. (2021). Impact of Incorporating Returns into Pre-Disaster Deployments for Rapid-Onset Predictable Disasters. Production and Operations Management, 30(2), 451-474. doi: 10.1111/poms.13204.

  • Kumar, S. (2021). How Analytics Allowed the FCC to Save $7.3 Billion by Auctioning Underused Television Spectrum. Management and Business Review, 1.

  • Pei, J., Yan, P., Kumar, S., & Liu, X. (2021). How to React to Internal and External Sharing in B2C and C2C. Production and Operations Management, 30(1), 145-170. doi: 10.1111/poms.13189.

  • Huang, Y., Zhu, Y., Kumar, S., Shetty, B., & Sriskandarajah, C. (2020). A Framework for Analyzing the U.S. Coin Supply Chain. Production and Operations Management, 29(12), 2736-2759. SAGE Publications. doi: 10.1111/poms.13168.

  • Sen, R., Choobineh, J., & Kumar, S. (2020). Determinants of Software Vulnerability Disclosure Timing. Production and Operations Management, 29(11), 2532-2552. doi: 10.1111/poms.13120.

  • Sun, H. & Kumar, S. (2020). A Manufacturer's New Product Preannouncement Decision and the Supplier's Response. Production and Operations Management, 29(10), 2289-2306. doi: 10.1111/poms.12900.

  • Kumar, S., Narayanan, S., & Salvador, F. (2020). Innovation in supply networks—A research framework and roadmap. Journal of Operations Management, 66(7-8), 754-767. doi: 10.1002/joom.1122.

  • Demirezen, E., Kumar, S., & Shetty, B. (2020). Two Is Better Than One: A Dynamic Analysis of Value Co-Creation. Production and Operations Management, 29(9), 2057-2076. doi: 10.1111/poms.12862.

  • Ketzenberg, M., Abbey, J., Heim, G., & Kumar, S. (2020). Assessing customer return behaviors through data analytics. Journal of Operations Management, 66(6), 622-645. doi: 10.1002/joom.1086.

  • 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. doi: 10.1111/poms.12959.

  • Liu, D., Kumar, S., & Mookerjee, V. (2020). Flexible and committed advertising contracts in electronic retailing. Information Systems Research, 31(2), 323-339. doi: 10.1287/ISRE.2019.0886.

  • Kumar, S., Tan, Y.R., & Wei, L. (2020). When to Play Your Advertisement? Optimal Insertion Policy of Behavioral Advertisement. Information Systems Research, 31(2), 589-606. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2019.0904.

  • Rajapakshe, T., Kumar, S., Sen, A., & Sriskandarajah, C. (2020). Sustainability Planning for Healthcare Information Exchanges with Supplier Rebate Program. Operations Research, 68(3), 793-817. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.2019.1912.

  • Stauffer, J.M., Vanajakumari, M., Kumar, S., & Mangapora, T. (2020). Achieving Equitable Food Security: How Can Food Bank Mobile Pantries Fill this Humanitarian Need.

  • Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2019). Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models. Journal of Management Information Systems, 36(4), 1313-1346. doi: 10.1080/07421222.2019.1661089.

  • Khurana, S., Qiu, L., & Kumar, S. (2019). When a Doctor Knows, It Shows: An Empirical Analysis of Doctors’ Responses in a Q&A Forum of an Online Healthcare Portal. Information Systems Research, 30(3), 872-891. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2019.0836.

  • Kumar, A., Mehra, A., & Kumar, S. (2019). Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer. Information Systems Research, 30(1), 319-338. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2018.0814.

  • Shanmugasundaram, N., Sushita, K., Kumar, S., & Ganesh, E. (2019). Genetic algorithm-based road network design for optimising the vehicle travel distance. International Journal of Vehicle Information and Communication Systems, 4(4), 355-374. doi: 10.1504/IJVICS.2019.103931.