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Assistant Professor
Chairperson - MBA (Analytics) Program

Information Technology & Systems


Dr. Rajiv Kumar holds Ph.D. in Information Systems from Indian Institute of Management Ranchi. He is M. Tech in media and sound engineering from Indian Institute of Technology Kharagpur. Before joining IIM Kashipur, he was Assistant Professor at Amrita School of Business, Coimbatore. He also has four years work experience in industry, namely at Samsung India Software Operation Pvt. Ltd and Texas Instrument (India) Pvt. Ltd.

He has teaching interest in Management Information Systems, Business Computing, Computational Tools for Business, Business Analytics, Business Intelligence, AI and Machine Learning, Business Research Methods, Data Analytics Using R & Python, and Big Data Analytics. His research interests include E-services, Machine Learning & Deep Learning, Impact of Artificial Intelligence, Dark Side of Digital Transformation, Technology and Society, and Diffusion of Innovation/Technology Adoption. He has published his research in International Review of Financial Analysis, Information Technology & People, Australasian Journal of Information Systems, International Journal of Retail and Distribution Management, Computers in Human Behaviors, Online Information Review, Journal of Internet Commerce, Digital Policy, Regulations, and Governance, and Journal of Global Operations and Strategic Sourcing. He is a member of the editorial review board of the Journal of Global Information Technology Management. He also serves as a reviewer for several journals of international repute.

  • Kumar, R., Mukherjee, A., Sachan, A. (2023). Factors influencing indirect adoption of e-Government services: a qualitative study. Information Systems and e-Business Management.
  • Kumar, R., Sachan, A., Mukherjee, A. (2023). Adoption of E-government Services at Different Maturity Levels: A Qualitative Study in India. Digital Policy, Regulation and Governance, 25(1), 15-39.
  • Bhattacharjee, B., Kumar, R., Senthilkumar, A. (2022). Unidirectional and Bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks. International Review of Financial Analysis, 84: 102384.
  • Kumar, R., Mukherjee, A., Sachan, A. (2021). M-government Experience: A Qualitative Study in India. Online Information Review, 46(3), 503-524.
  • Srivastava, A., Kumar, R., Gupta, S. K., Rashid, M., & Umrao, L. S. (2021). Novel technique to detect network error or modification of votes during transmission in online voting system. Journal of Discrete Mathematical Sciences and Cryptography
  • Kumar, R., Sachan, A., & Dutta, T. (2020). Examining the Impact of e-Retailing Convenience Dimensions on Behavioral Intention: The Mediating Role of Satisfaction. Journal of Internet Commerce, 19(4), 466-494.
  • Kumar, R., Kumar, R., Sachan, A., & Gupta, P. (2020). An examination of the e-government service value chain. Information Technology & People
  • Kumar, R., Sachan, A., & Kumar, R. (2020). The impact of service delivery system process and moderating effect of perceived value in internet banking adoption. Australasian Journal of Information Systems, 24(2020).
  • Gupta, P., Sachan, A., & Kumar, R. (2020). Different stages of the e-service delivery system process: Belief–attitude–intention framework. International Journal of Retail & Distribution Management, 48(7), 687-706.
  • Kumar, R., Sachan, A., & Mukherjee, A. (2018). Direct vs indirect e-government adoption: An exploratory study. Digital policy, regulation and governance, 20(2), 149-162.
  • Kumar, R., Sachan, A., Mukherjee, A., & Kumar, R. (2018). Factors influencing e-government adoption in India: A qualitative approach. Digital Policy, Regulation and Governance, 20(5), 413-433.
  • Sachan, A., Kumar, R., & Kumar, R. (2018). Examining the impact of e-government service process on user satisfaction. Journal of Global Operations and Strategic Sourcing, 11(3), 321-336.
  • Kumar, R., Sachan, A., & Mukherjee, A. (2017). Qualitative approach to determine user experience of e-government services. Computers in Human Behavior, 71, 299-306.

Postgraduate Level: Management Information Systems, Business Computing-II, Analytics for Business,  Workshop-Computational Tools for Business, Business Intelligence and Business Analytics

Ph.D.: Seminar on Analytics & Machine Learning, Quantitative Research Methods, Information Theory I

  • Chairperson - MBA Analytics (July 2020 - Present)
  • Area Chair - IT & Systems (July 2020 - June2020)

PhD: Information Systems (Indian Institute of Management Ranchi)
Masters: Media and Sound Engineering (Indian Institute of Technology Kharagpur)
Bachelors: Computer Science and Engineering (The Institution of Electronics and Telecommunication Engineers)

E-services (E-commerce, E-government, Online Banking, E-judiciary, Telemedicine), Machine Learning Applications, Impact of Artificial Intelligence, Technology and Society, Technology Adoption/Diffusion of Innovation