Rahul Kumar

Rahul Kumar

Designation

Assistant Professor
Academic Group: Management Information Systems

Contact

Phone No.: +91-33-24678300 Extn. No. 2069
Email ID.: rahulk@iimcal.ac.in

Academics

Academic Background:

Fellow Indian Institute of Management (91心頭利) Ranchi.

B.E. Birla Institute of Technology (BIT) Mesra

Consulting Interests:

Analytics and AI based Consulting; Steering Digital Transformation; Managing Disruptive Technologies

Current Projects:

Knowledge Partner and Strategic Advisor for Fluidata Analytics Inc. and Elderfly Healthtech Pvt. Ltd. 

Advisory Board Member for Parabolic Systems and Reluhash.ai.

Past Projects:

BI Roadmap for a Global Logistics company.

Routine Process Automation for Invoice and Quote Automation

Experience

Work Experience:

Assistant Professor- Indian Institute of Management (91心頭利) Calcutta [JUly'2024 - Ongoing]

Assistant Professor- Indian Institute of Management (91心頭利) Sambalpur [June'2019-July'2024]

Assistant Professor- Xavier Institute of Management Bhubaneswar (XIMB) [May'2017-June'2019]

Analytics Consultant- Infosys Consulting [Feb'2017 - May'2017]

Manager- Tata Steel Utilities and Infrastructure Services Ltd (TSUIL), erstwhile JUSCO [July'2009 - May'2013]

Research

Journal Publications:

 

  1. Rahul Kumar and Rahul Thakurta (Accepted and Forthcoming, 2024). Classifying DSS Research-A theoretical Framework. Information Systems frontiers, Springer [A-ABDC]
  2. Rahul Kumar, Varsha Jain, Jacqueline Eastman and Anupama Ambika (2024). The Components of Perceived Quality and Their Influence on Online Re-Purchase Intention. Journal of Consumer Marketing,Vol. ahead-of-print, No. ahead-of-print.   Emerald [A-ABDC]
  3. Rahul Kumar and Rahul Thakurta (2024). Digital Transformation: An Enterprise Transformation Perspective. Australasian Journal of Information Systems (AJIS), Vol 28, September 2024. [A-ABDC]
  4. Rahul Kumar, Shubhadeep Mukherjee and Nripendra Rana (2023). Exploring Latent Characteristics of Fake Reviews and Their Intermediary Role in Persuading Buying Decisions. Information Systems Frontiers.  Springer [A - ABDC]
  5. Rahul Kumar, Shubhadeep Mukherjee, Tsan Ming Choi, Lalitha Damotharan, (2022). Mining Voices from Self-expressed Messages on Social-Media: Diagnostics of Mental Distress during COVID-19, Decision Support Systems, ,  Elsevier, [A*-ABDC]
  6. Kumar, Rahul, Deb, S. G., & Mukherjee, S (2022). Deciphering the Corporate Mind: Capturing Early Warning Signals in Non-Numeric Communication Channels Using Computational Intelligence. Advances in Accounting Behavioral Research, Vol 27 (A-ABDC).
  7. Choudhary, D., & Kumar, Rahul, (2021).  "Risk investigation in circular economy: a hierarchical decision model approach". International Journal of Logistics Research & Applications, (B-ABDC)
  8. Rahul Kumar, Soumya Guha Deb and Shubhadeep Mukherjee (2020), "Do words reveal the latent truth? Identifying communication patterns of corporate losers", , Available online 26 February 2020, 100291,   (A-ABDC)
  9. Kumar, Rahul, and Rahul Thakurta. "Exfoliating decision support system: a synthesis of themes using text mining." Information Systems and e-Business Management (2021): 1-33.  [B-ABDC]
  10. Rahul Kumar (2021). Managing Business in the Digital Era-The use of IT and Analytics for Process Transformation, Journal of Decision Systems, DOI: 10.1080/12460125.2021.1925397 [B ABDC]
  11. Shubhadeep Mukherjee, Rahul Kumar & Pradip Kumar Bala (2021). Managing a natural disaster: actionable insights from microblog data, Journal of Decision Systems, DOI: 10.1080/12460125.2021.1918045 [B ABDC]
  12. Ray, Arghya, Pradip Kumar Bala, and Rahul Kumar. "An NLP-SEM approach to examine the gratifications affecting users choice of different e-learning providers from user tweets." Journal of Decision Systems (2020): 1-17.   Category 'B' [ABDC]
  13. Latha Ravindran and Rahul Kumar, "Development induced displacement:  a data mining approach towards  vulnerability and impoverishment risks", , International Journal of Development and Conflict 9(2019) 249290. Category 'B' [ABDC]
  14. R. Kumar and P. K. Bala. Recommendation Engine based on derived wisdom for more similar item neighbors, Information Systems and e-Business Management, Springer Publication, August 2017, Volume 15, Issue 3, pp 661687.  [ABDC B category]
  15. S. Snehvrat, A. Kumar, R. Kumar and S. Dutta, The State of Ambidexterity Research: A Data Mining Approach, International Journal of Organizational Analysis @ Emerald Publishers (accepted for publication) [ABDC listed B category]
  16. ahul, ,  and  (2020), "Deriving wisdom from virtual investing communities: an alternative strategy to stock recommendations", , ['C' Category]. 
  17. R. Kumar and P. K. Bala. Identifying meaningful neighbors for an improved recommender system, Journal of Modelling in Management. Emerald Publishing House (Vol: 12 Iss: 2). [ABDC C category]
  18. A. Kumar, R. Kumar, S. Dutta, R. Kumar and A. Mukherjee. Reconceptualizing co-opetition using text mining:  inductive derivation of a consensual definition of the field (1996-2015). International Journal of Business Environment. Inderscience Publishers, Vol. 9, No. 2, 2017.[ ABDC C category]

 

Research Interests:

Artificial Intelligence, Analytics Consulting, Emerging Technologies