SREEVATSA B

Designation:

Assistant Professor

Area:

Information Systems & Analytics

Education:

B.E. - M.S. Ramaiah Institute of Technology, MBA - Indian Institute of Management Ranchi, PhD - (Thesis submitted) Indian Institute of Management Ranchi

Date of Joining:

2025-05-15

Sreevatsa B has pursued his PhD in Information Systems and Business Analytics Area from the Indian Institute of Management Ranchi, and his thesis is out for external defense. He holds a Bachelor of Engineering degree from M.S. Ramaiah Institute of Technology, Bangalore. He has completed his MBA from the Indian Institute of Management Ranchi. His research interests include AI, Natural Language Processing, and Consumer Behavior.

Published Papers

  • Rathor, A. S., Kumar, M., & Bellary, S. (2025). Decoding internal customer satisfaction in services firms through the lens of ability, motivation and opportunity framework using text mining approaches. Journal of Retailing and Consumer Services86, 104342.
  • Bellary, S., Bala, P. K., & Chakraborty, S. (2024). Utilizing online reviews for analyzing digital healthcare consultation services: Examining perspectives of both healthcare customers and healthcare professionals. International Journal of Medical Informatics191, 105587.
  • Bellary, S., Bala, P. K., & Chakraborty, S. (2024). Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN. Journal of Retailing and Consumer Services81, 104045.
  • Ashraf, S. A., Javed, A. F., Bellary, S., Bala, P. K., & Panigrahi, P. K. (2024). Leveraging Stacking Framework for Fake Review Detection in the Hospitality Sector. Journal of Theoretical and Applied Electronic Commerce Research19(2), 1517-1558.
  • Raghavendra, A. H., Bellary, S., Bala, P. K., & Mukherjee, A. (2024). Exploring user adoption of online hotel booking platforms: A text mining approach. Procedia Computer Science234, 106-113.
  • Raghavendra, A. H., Bellary, S., Sengupta, P., Bala, P., & Mukherjee, A. (2023). Psychological factors affecting social media usage: A U&G theory perspective.

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Artificial Intelligence for Business, Machine Learning and Predictive Analytics, Data Science for Business, Marketing Intelligence and Analytics, Natural Language Processing for Research

AI, Natural Language Processing, and Consumer Behavior

Conference and Workshops

  • “From Burnout to Balance: A Typological Analysis of Quiet Quitters Using NLP Techniques”, paper accepted at Academy of Management Conference, 2025
  • “Psychological factors affecting social media usage: A U&G theory perspective”, paper presented at American Conference on Information Systems, 2023
  • “Exploring the Factors Affecting the Indian Consumer’s Usage Intention of Mental Health Apps: A Text Mining Approach”, paper presented at Annual International Research Conference, IIM Lucknow, 2023
  • “Artificial Intelligence for Good Health and Well-being (Sustainable Development Goal 3): A bibliometric and structural topic modeling analysis”, paper presented at International Society for Data Sciences and Innovation, 2023
  • Exploring the Inherent Needs, Psychological Profiling, Linguistic Features, and Emotions of customers using apps for their mental well-being
  • Examining User Perspectives of E-Pharmacy Apps for Healthcare Management: A Cross-Country Analysis capturing user perspectives from developing and developed countries
  • From Burnout to Balance: A Typological Analysis of Quiet Quitters Using NLP Techniques

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