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Biography

Contact Details:

Office: K204, New Academic Block (NAB) Indian Institute of Management, Calcutta Pin: 700104 West Bengal, India

Website:

www.linkedin.com/in/anik-mukherjee-98700b82/

Academics

Academic Background:

1. Ph.D. (Information Systems), Indian Institute of Technology Madras, 2021
2. MS by Research (Information Systems), Indian Institute of Technology Madras, 2015
3. B.Tech (Information Technology), Jalpaiguri Government Engineering College, 2012
    

Courses Taught:

@IIM Calcutta 

1. Information Technology and Systems (MBA Core) 
2. Cyber Security for Business (MBA II and MBAEx Elective) 
3. Blockchain Applications in Business (MBA II and MBAEx Elective) 
4. Empirical Research in Information Systems (Ph.D. Elective)
5. Introduction to IS Research (Ph.D. Core: Co-Teaching)

6. Data Ecosystems: Theories and Foundations for Information Systems Research (DE-TFISR) (Executive PhD Core: Co-Teaching)

Awards:

1. Fulbright Nehru Doctoral Research Fellowship, USA- October 2019 to July 2020 (Information Systems and Decision Science Department, Muma College of Business, University of South Florida, Tampa, USA) 
2. DAAD Masters Research Fellowship, Germany- September 2014 to January 2015 (Mercator School of Management, University of Duisburg-Essen, Germany)

Experience

Work Experience:

1. IIM Calcutta, India, Assistant Professor, MIS Group, June 2022 to Present 
2. IIT Roorkee, India, Assistant Professor, Information Systems Area, August 2021 to June 2022

Research

Journal Publications:

• Mukherjee, Anik, & Sengupta, A. (2026). Promoting Interoperability (PI): A Path to Better Serviceability and Lower Medicare Costs. Communications of the Association for Information Systems, 58, pp-pp. Retrieved from https://aisel.aisnet.org/cais/vol58/iss1/81
• Avijit Sengupta, Anik Mukherjee and VanderMeer D. (2024). "Impact of Perceived Barriers of Electronic Health Information Exchange on Physician’s Use of EHR: A Normalisation Process Theory Approach", Information Systems Frontiers (ISF). DOI: https://link.springer.com/article/10.1007/s10796-024-10524-8
• Anik Mukherjee, R. P. Sundarraj, VanderMeer D and Kaushik Dutta. (2023). “Domain-Independent real-time service provisioning in digital platforms: Featuring bundling and customer timer preference”. in Decision Support Systems (DSS). DOI: https://doi.org/10.1016/j.dss.2023.113927 [Ranking: ABDC- A*; Impact Factor: 6.96] 
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2021). “Time-Preference-based on-spot bundled cloud service provisioning”. in Decision Support Systems (DSS). DOI: https://doi.org/10.1016/j.dss.2021.113607 [Ranking: ABDC- A*; Impact Factor: 6.96] 
• Anik Mukherjee, R. P. Sundarraj, and Kaushik Dutta. (2017). “Apriori rule–based in-app ad selection online algorithm for improving supply-side platform revenues”. ACM Transactions on Management Information Systems. 8, p: 2–3, Article 10 (July 2017), 28 pages. DOI: http://dx.doi.org/10.1145/3086188 [Ranking: Scopus Cite Score: 4.2; Scimago: Q1]

Conferences:

• Ghosh, Shyam Prasad; Chakraborty, Soumyakanti; and Mukherjee, Anik. (2026). "Negotiating Legitimacy: Exploring Public Perceptions of Generative AI in Video Games" . AMCIS 2026, Reno, Nevada, USA Proceedings. 28. https://aisel.aisnet.org/amcis2026/conftheme/conftheme/28
• Sarkar, Smita; Kumari, Roshni; and Mukherjee, Anik. (2026). "Risk Severity, Usage and Satisfaction: A Moderated Mediation Model of Cybersecurity Product" . PACIS 2026, Jakarta, Indonesia, Proceedings. 14. https://aisel.aisnet.org/pacis2026/dig_sec/dig_sec/14
• Anik Mukherjee and Kaushik Dutta. (2024). "Online to Offline: The Role of Mobile Apps in Shaping Customers’ Physical Visit Patterns". Workshop on Information Technologies and Systems--WITS 2024, Bangkok, Thailand.
• Anik Mukherjee, Avijit Sengupta and Shivendu Shivendu. (2024). "Effect of Change in Meaningful Use Intensity of EHR System on Cost of Care". Americas Conference on Information Systems--AMCIS 2024, Salt Lake City, USA.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2019) “Cloud on-spot resource management problem”- International Conference on Design Science Research in Information Systems and Technology--DESRIST 2019, Massachusetts, USA.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2018) “Time-preference based cloud resource management”- 28th Workshop on Information Technologies and Systems WITS 2018, San Francisco, California, USA.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2018) “Reusable design framework for online time-preference based real-time resource allocation”- International Conference on Design Science Research in Information Systems and Technology--DESRIST 2018, Chennai, India.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2017) “Users’ time preference based stochastic resource allocation in cloud spot market: Cloud provider’s perspective”- International Conference on Design Science Research in Information Systems and Technology-- DESRIST 2017, Dublin, Ireland.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2016) “In-app ad recommender system: application of automated negotiation in online advertising”- International Conference on Design Science Research in Information Systems and Technology--DESRIST 2016, Newfoundland, Canada.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2016) “On Considering Customer’s Short-term Preferences for Resource Allocation in Cloud Computing Spot Markets”- 26th Workshop on Information Technologies and Systems-- WITS 2016, Dublin, Ireland.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2015) “Online Programmatic Ad-Placement for Supply Side Platform of Mobile Advertisement: An Apriori Rule-generation Approach”- 25th Workshop on Information Technologies and Systems-- WITS 2015, Dallas, Texas, USA.
• Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2015) “An online algorithm for programmatic advertisement placement in supply side platform of mobile advertisement”- 2015 Pacific Asia Conference on Information Systems--PACIS 2015, Singapore.

Research Interests:

• Cyber Security, Location Analytics, Text Mining Applications, Cloud Computing, Computational Advertising, Healthcare Analytics, Customer Time Preference.

Books/Book Chapters:

• Sathyanarayanan Venkatraman, R. P. Sundarraj and Anik Mukherjee. (2016) “Prototype Design of a Healthcare-Analytics Pre-Adoption Readiness Assessment (HAPRA) Instrument”- DESRIST 2016 Springer LNCS Proceedings. Lecture Notes in Computer Science (Vol. 9661, p: 158-172)