Manish Gangwar

Executive Director - ISB Institute of Data Science (IIDS)
Manish Gangwar is an Associate Professor of Marketing at the Indian School of Business (ISB). He is a distinguished faculty member and the Executive Director of the Institute of Data Science and Business Analytics at ISB. A leading academic in pricing and business analytics, he has previously served as Associate Dean of Research and RCI Management at ISB. Professor Gangwar holds a PhD in Management Science from the University of Texas at Dallas, an MS from the University of Kentucky, and a BE from the Indian Institute of Technology, Roorkee, complemented by years of industry experience.
Widely recognised as one of India’s foremost academicians in data science, Professor Gangwar has received several awards for his contributions to research and teaching. He serves on the editorial review boards of several leading academic journals. His expertise lies in advanced analytical methodologies, including machine learning, econometrics, data science, and game theory.
His research spans a wide range of topics, such as competitive promotions, omnichannel retail strategies, dynamic pricing, SaaS revenue models, and the application of AI in marketing. He has published extensively in top-tier academic journals such as Marketing Science, Journal of Marketing, Operations Research, Product and Operations Management, and the Journal of Retailing, as well as in book chapters and industry publications. For more information, please visit his Google Scholar Profile.
Academic positions
- 2020 - Present: Marketing Area Department Coordinator, Indian School of Business
- 2019 - Present: Executive Director, ISB Institute of Data Science
- 2018 - Present: Associate Professor, Indian School of Business
- 2020 - 2022: Associate Dean - Research and RCI Management, Indian School of Business
- 2009 - 2018: Assistant Professor, Indian School of Business
- 2012 - 2012: Visiting Lecturer, University of California, Davis
- Kopalle, Praveen., Gangwar, Manish., Uppal, Abhinav. (2024) "Commentary on “AI is Changing the World: For Better or for Worse?”", Journal of Macromarketing, 44 (4)
- Sunder M, Vijaya., Gangwar, Manish., Modukuri, Siddhartha. (2024) "Do Gender Diverse Teams Deliver Better Operational Performance: An Experimental Study", Production & Operations Management
- Kopalle, Praveen., Pauwels, Koen., Akella, Laxminarayana., Gangwar, Manish. (2023) "Dynamic Pricing: Definition, Implications for Managers, and Future Research Directions", Journal of Retailing, 99 (4), 580-593
- Milos, Fisar., Greiner, Ben., Huber, Cristoph., Katok, Elena., Gangwar, Manish., Arora, Kashish., al., et.. (2023) "Reproducibility in Management Science", Management Science, 70 (3), 1343-2022
- Gangwar, Manish., Bhargava, Hemant. (2022) "Pricing On-demand Services: Alternative Ways of Combining Usage and Access Fees", Production and Operations Management, 32 (1), 11-27
- Gangwar, Manish., Kaplan, Andreas., Kopalle, Praveen., Reinartz, Werner., Ramachandran, Divya., Rindfleisch, Aric. (2022) "Examining Artificial Intelligence (AI) Technologies in Marketing Via a Global Lens: Current Trends and Future Research Opportunities", International Journal of Research in Marketing, 39 (2), 522-540
- Timoumi, Ahmed., Gangwar, Manish., Mantrala, Murali. (2022) "Cross-channel Effects of Omnichannel Retail Marketing Strategies: A Review of Extant Data-driven Research", Journal of Retailing, 98 (1), 133-151
- Gangwar, Manish., Kumar, Nanda., Rao, Ram. (2021) "Pricing Under Dynamic Competition When Loyal Consumers Stockpile", Marketing Science, 40 (3), 569-588
- Gangwar, Manish., Rao, Vithala. (2021) "Pricing Strategies: The Routledge Companion to Strategic Marketing", Taylor & Francis Group
- Voleti, Sudhir., Gangwar, Manish. (2019) "Category Management: The Art of Allocating Shelf Space", ISBInsights
- Gangwar, Manish., Mantrala, Murali. (2019) "India's Omnichannel Retail Promise", ISBInsights
- Gangwar, Manish. (2019) "Polygamy and Groceries: Understanding Consumer Behaviour", ISBInsights
- Bhargava, Hemant., Gangwar, Manish. (2018) "On the Optimality of Non-Linear Three and Two Part Tariff Plans - When Does Free Allowance Matter?", Operations Research, 66 (6), 1517–1532
- Winterich, Karen., Gangwar, Manish., Grewal, Rajdeep. (2018) "When Celebrities Count: Power Distance Beliefs and Celebrity Endorsements", Journal of Marketing, 82 (3), 70-86
- Zhang, Qin., Gangwar, Manish., Seetharaman, P. (2017) "Polygamous Store Loyalties: An Empirical Investigation", Journal of Retailing, 93 (4), 477-492
- Bhargava, Hemant., Gangwar, Manish. (2017) "Pricing Strategy for Service Start-ups: How to Employ Access and Usage Fee?", ISBInsights
- Bradlow, Eric., Gangwar, Manish., Kopalle, Praveen., Voleti, Sudhir. (2017) "The Role of Big Data and Predictive Analytics in Retailing", Journal of Retailing, 93 (1), 79-95
- Voleti, Sudhir., Gangwar, Manish., Kopalle, Praveen. (2017) "Why the Dynamics of Competition Matter for Category Profitability", Journal of Marketing, 81 (1), 1-16
- Gangwar, Manish. (2016) "Celebrity Endorsements: Higher Power Distance", ISBInsights
- Gangwar, Manish., Kumar, Nanda., Rao, Ram. (2014) "Consumer Stockpiling and Competitive Promotional Strategies", Marketing Science, 33 (1), 94 - 113
- Gangwar, Manish., Goodrum, Paul. (2005) "The Effect of Time on Safety Incentive Programs in the US Construction Industry", Journal of Construction Management and Economics, 23 (8), 851-859
- Goodrum, Paul., Gangwar, Manish. (2004) "Safety Incentives: A Study of their Effectiveness in Construction", Journal of Professional Safety: ASSE Foundation Research, 24-34
- Goodrum, Paul., Gangwar, Manish. (2004) "The Relationship between Changes in Equipment Technology and Wages in the US Construction Industry", Journal of Construction Management and Economics, 22 (3), 291-301
- Gangwar, Manish., Roy, Arani., Mantri, Shruti., Kumar, Vineet. (2025) "Fact-Checking India", IIDS
- Gangwar, Manish., Mantri, Shruti., Sarkar, Avik. (2025) "Quantum-Resilient Banking: Strategies for a Secure Transition", IIDS
- Gangwar, Manish., Raveendra, Stepehen., Mantri, Shruti., S., Kalmeshwar. (2024) "Telecom SIM Subscription Frauds: Global Policy Trends, Risk Assessments and Recommendations", IIDS
- Watters, Paul., Mantri, Shruthi., Gangwar, Manish. (2024) "The Piracy Malware Nexus in India: A Perceptions and Experience and Empirical Analysis", SSRN Electronic Journal
- Sarkar, Avik., Talekar, Vaibhav., Gangwar, Manish. (2023) "E-Commerce Logistics: Unveiling Data Driven Shopping Patterns", SSRN Electronic Journal
- Jaiswal, Shweta., Geetika, Ratna., D.V.R, Seshadri., Sarkar, Avik., Niladri, Syam., Gangwar, Manish. (2023) "Understanding the Canvas of Artificial Intelligence (AI) in Healthcare in India", SSRN Electronic Journal
- Zhang, Q., Gangwar, Manish., Ratchford, B. (2017) "Effects of Product Categories on Consumers Spending in Multiple Retail Formats", Academy of Marketing Science
- Gangwar, Manish., Bhargava, Hemant. (2016) "Role of Consumption Heterogeneity in Pricing Digital Services", ANZMAC, 2016
- Gangwar, Manish., Bhargava, Hemant. (2016) "“Pay as you Go” or “All You can Eat”? Pricing Methods for Computing and Information Services", HICSS Conference Proceedings, IEEE Computer Society (HICSS 2016), 1530-1605
- Goodrum, Paul., Gangwar, Manish. (2002) "A Micro Level Analysis of the Relationship Between Changes in Equipment Technology and Wages in the U.S. Construction Industry", ISARC Proceeding
- December 24, 2024: Unmasking Misinformation: Insights and Policy Solutions for Combating Fake News in India, Economic times, NDTV.
- August , 2024: Generative AI to create millions of jobs in future: 6 steps to boost your skills in this emerging field, Hindustan Times.
- August , 2024: Vulnerabilities in SIM Registration Processes in India, DATAQUEST.
- June , 2024: A Future of AI: Global View, TechForward Dispatch.
- February 18, 2024: Viewpoint: What to expect in 2024? | AI and Data Privacy, ISB Executive Education.
- July , 2023: Examining AI Technologies in Marketing Through Multiple Perspectives, ISB Research Perspective.
- July , 2023: Navigating Downturns: Pricing Strategies That Work, ISB Research Perspective.
- April , 2023: Research Bytes: Cracking the Pricing Code for On-Demand Services, ISB Research Perspective.
- January , 2023: Seeing Marketing Through an AI-Powered Global Lens, ISB Executive Education.
- December , 2022: Can Data Up Customer Centricity?, Economic Times Government News.
- September , 2022: Most Prominent Data Science Academician in India 2022, Cypher.
- June , 2022: 2022 List of Leading Academic Data Leaders, CDO Magazine.
- December , 2020: Can We Instill Trust in Ratings Industry?, Fortune India.
- September , 2019: India’s Omnichannel Retail Promise, ISB Insights.
- June , 2019: 10 Most Prominent Data Science Academicians In India: 2019, Analytics India.
- April , 2019: Polygamy and Groceries: Understanding Consumer Behaviour, ISB Insights.
- February , 2019: Business Professionals Need Technical Exposure, Times of India Higher Education.
- January , 2019: Category Management: The Art of Allocating Shelf Space, ISB Insights.
- December , 2018: What Academics and Managers Can Learn from Each Other, ISB Insights.
- February , 2018: Once, twice, six times a Grocery Shopper, ScienceDaily.
- February , 2018: Study: Consumers Not Loyal to One Store, Supermarket News.
- September , 2017: Pricing Strategy for Service Start-ups, Forbes India.
- June , 2016: Celebrity Endorsements in India, ISB Insights.