Rahul Kumar

rahul-kumar
Rahul Kumar
Department
Assistant Professor
Email
rahulk@iimsambalpur.ac.in
Contact No
+91 9031050901

Dr. Rahul Kumar is an Assistant Professor in the area of Information Systems at Indian Institute of Management (IIM) Sambalpur. Prior to this, he was at the Xavier Institute of Management Bhubaneswar (XIMB) in the Decision Science area. There, he was Joint Coordinator for the Executive MBA program in Business Analytics. He holds his doctorate (FPM) from Indian Institute of Management (IIM) Ranchi. Post PhD, he had a brief stint at Industry as an Analytics Consultant at Infosys Consulting. By background he is an engineer from BIT Mesra, Ranchi. Prior to joining IIM Ranchi as a doctoral scholar, he was working as a Manager at Jusco Pvt Ltd., A TATA STEEL Subsidiary.

Taught Courses:

Business Statistics
Quantitative Techniques for Management
Business Analytics using R
Big Data Analytics 


Planned Courses:

Machine Learning and Artificial Intelligence
Deep Learning in Business  

  1. 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, https://doi.org/10.1016/j.dss.2022.113792,  Elsevier, [A*-ABDC]. 

  2. Kumar, R., Deb, S. G., & Mukherjee, S (2022) (Accepted and forthcoming). “Deciphering the Corporate Mind: Capturing Early Warning Signals in Non-Numeric Communication Channels Using Computational Intelligence.” Advances in Accounting Behavioral Research (Emerald, ABDC: A).

  3. Choudhary, D., & Kumar, R., (2021).  Risk investigation in circular economy: a hierarchical decision model approach. International Journal of Logistics Research & Applications (Article in Press) ('B' Category in 'ABDC').

  4. Rahul Kumar and Rahul Thakurta.,(2021) Exploring artefact reusability in decision support system - a synthesis of extant contributions. International Journal of Information Systems and Change Management. Vol. 12, No. 3.['C' category]

  5. 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' category]

  6. 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' category]

  7. R. Kumar & R. Thakurta (2021), Exfoliating decision support system: a synthesis of themes using text mining. Information Systems and E-Business Management. https://doi.org/10.1007/s10257-020-00490-4 ['B' category, Impact Factor-2.161]

  8. Rahul Kumar,  Soumya  Guha  Deb  and  Shubhadeep  Mukherjee, (2020). "Do words reveal the latent truth?  Identifying  communication patterns  of  corporate  losers", Journal of Behavioral and Experimental Finance, https://doi.org/10.1016/j.jbef.2020.100291, Elsevier- ['A' in ABDC]
  9. Arghya Ray, Pradip Kumar Bala & Rahul Kumar (2020): An NLP-SEM approach to examine the gratifications affecting user’s choice of different e-learning providers from user tweets, Journal of Decision Systems, DOI: 10.1080/12460125.2020.1847406   ['B' category]
  10. R. Kumar, B. Kumar, P.K. Bala and S. Mukherjee, "Deriving wisdom from virtual investing communities: An alternative strategy to stock recommendations", Journal of Modelling in Management. Emerald Publishing House (accepted-July'2020) https://doi.org/10.1108/JM2-09-2019-0229. [ABDC listed – ‘C’ category and Thomson Reuters indexed]
  11. Kumar, R., Bala, P. K., & Mukherjee, S. (2020). Improving recommendation quality by identifying more similar neighbours in a collaborative filtering mechanism. International Journal of Operational Research, 38(3), 321-342. https://doi.org/10.1504/IJOR.2020.107532 [ ABDC listed – ‘C’ category- while accepted]
  12. Kumar, R., Bala, P. K., & Mukherjee, S. (2020). A new neighbourhood formation approach for solving cold-start user problem in collaborative filtering. International Journal of Applied Management Science, 12(2), 118-141. I https://doi.org/10.1504/IJAMS.2020.106734 [ABDC- ‘C’ category while accepted]
  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)  249–290.  Category 'B' [ABDC]
  14. Snehvrat,  S.,  Kumar,  A.,  Kumar,  R.  and  Dutta,  S.  (2018),  "The  state  of ambidexterity  research:  a  data  mining  approach",  International  Journal  of Organizational  Analysis,  Vol.  26  No.  2,  pp.  343-367.  https://doi.org/10.1108/IJOA-06-2017-1182  [ABDC  listed  –  ‘B’ category]
  15. 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  661– 687. http://link.springer.com/article/10.1007/s10257-016-0322-y  [impact  factor: 1.723@Thomson Reuters – ‘B’ category]
  16. Kumar, R., & Bala, P. K. (2017). Identifying meaningful neighbors for an improved recommender system. Journal of Modelling in Management. https://doi.org/10.1108/JM2-07-2015-0050 [ABDC listed – ‘C’ category and Thomson Reuters indexed]
  17. Kumar, A., Kumar, R., Dutta, S. K., Kumar, R., & Mukherjee, A. (2017). Reconceptualising co-opetition using text mining: inductive derivation of a consensual definition of the field (1996-2015). International Journal of Business Environment, 9(2), 114-137. https://doi.org/10.1504/IJBE.2017.085346 [ ABDC listed – ‘C’ category]
  • Prof. Rahul Kumar is a strategic advisor to various Technology and Analytics based companies. He is on the advisory board of Parabolic Systems and  ByteIQ Analytics . He is also a faculty resource for Management and Executive Development Programs such as CBSE training and IOCL Leadership programs.