Our Faculty

Nitin Singh

Professor
  • Fellow Program in Management, IIM Bangalore
Nitin Singh is Professor of Information Systems & Business Analytics at IIM Ranchi. He has previously worked for KPMG, Hexaware, Boston Analytics, GE Capital and Hindustan Petroleum Corp Ltd. He also held advisory role with Ernst & Young and visiting research fellow position with Hong Kong Polytechnic University and National University of Singapore. During the course of his career, Nitin has been part of projects relating to data analytics, Artificial Intelligence (AI) and big data. In his consulting experience he has worked closely with clients to design and deliver solutions that are measurable, relevant and actionable. Nitin contributes actively in publications and has published papers in prestigious publications of Wiley, Taylor & Francis, Blackwell, Routledge, Springer, Reuters, ACM, IEEE and Thomson Scientific. He holds a doctorate in Management from IIM Bangalore and had been the Aditya Birla scholar at IIM Bangalore. Nitin has presented papers in more than 30 international conferences globally.

Teaching Areas

  • Operations Management
  • Data Analytics with Python,
  • Spreadsheet Modeling,
  • Supply Chain Analytics with Python,
  • Big Data

Experience

  • IIM Kashipur
  • Ernst & Young
  • KPMG
  • Hexaware
  • Boston Analytics
  • GE Capital
  • IIM Indore
  • HPCL

Training & Consulting Areas

  • Data analytics
  • Supply Chain Analytics

Research Area

  • Data Analytics
  • Supply Chain Management
  • Big Data
  • Cyber security

Current Research Interests

  • Data Analytics
  • Supply Chain Management
  • Big Data
  • Cyber security

Publications

  • Singh, N., Hazarika, A., Zhang, J. Z., & Bilan, Y. (2025). Empowering communities: A low-cost approach to land and water management in developing countries. Land Degradation & Development. Wiley, https://doi.org/10.1002/ldr.5489
  • Singh, N., Lai, K.-h., & Huang, G. Q. (2025). Cyber intelligence for logistics. Business Horizons. Elsevier. https://www.sciencedirect.com/science/article/pii/S0007681325000011
  • Singh, N., Zhang, Z., Jasimuddin S. et al. (2024). Cyber-physical systems: A bibliometric analysis of literature. Journal of Intelligent Manufacturing. DOI: 10.1007/s10845-024-02380-9.
  • Varma, S., Singh, N., & Patra, A. (2024). Supply Chain Flexibility: Unravelling the Research Trajectory Through Citation Path Analysis. Global Journal of Flexible Systems Management, Springer. DOI: 10.1007/s40171-024-00382-3.
  • Varma, S., Singh, N., & Zhang, J. Z. (2023). Evolving trajectories of circular supply chain domain: a citation path analysis. Journal of Enterprise Information Management, 36(6), 1610-1646. DOI: 10.1108/JEIM-03-2023-0147.
  • Singh, N., Lai Kee-hung, & Zhang, J. (2023). Intellectual Core in Supply Chain Analytics: Bibliometric Analysis and Research Agenda. International Journal of Information Technology and Decision Making, 22(2). Thomson Scientific.
  • Singh, N., Sengar, D. S., & Lal, H. (2022). Prison reforms and legal support at a correctional facility: A case analysis. International Journal of Development and Conflict, 12(1).
  • Venkataraghavan Krishnaswamy, Singh, N., Mayank Sharma, Neha Verma, & Amit Verma (2022). Application of CRISP-DM methodology for managing human-wildlife conflicts: an empirical case study in India. Journal of Environmental Planning and Management. DOI: 10.1080/09640568.2022.2070460.
  • Singh, N., Krishnaswamy, V., & Zhang, J. (2022). Intellectual structure of cybersecurity research in enterprise information systems. Enterprise Information Systems, 17(4), 1-25. DOI: 10.1080/17517575.2022.2025545.
  • Singh, N. (2020). Mitigating economic losses of fraud: Data analytics perspective. World Economics Journal, 21(3), 111-124. DOI: 10.1080/09640568.2022.2070460.
  • Singh, N. (2020). Sport analytics: A review. International Technology Management Review, 9(1), 64-69.
  • Singh, N. (2020). Fiscal federalism: Data analytics perspective. World Economics Journal, 21(1).
  • Singh, N. (2019). Big data technology: Developments in current research and emerging landscape. Enterprise Information Systems, 30(6).
  • Singh, N., Lai K., Vejvar M., & Cheng T.C.E. (2019). Data-driven auditing: A predictive modelling approach to fraud detection and classification. Journal of Corporate Accounting & Finance, 30(3), Wiley.
  • Singh, N., Lai K., Vejvar M., & Cheng T.C.E. (2019). Big data technology: Challenges and opportunities and realities. IEEE Engineering & Management Review, 47(1).
  • Singh, N., Islam B. (2017). Predictive analytics for reducing human-animal conflict. International Journal of Development & Conflict, 7(2).
  • Singh, N., Lai K., & Cheng T.C.E. (2017). A Data analytics based approach to auditing. Internal Auditing, Thomson Reuters, July-Aug.
  • Singh, N., & Jha, P. K. (2017). Predictive analytics in capital markets. Asian Economic and Financial Review, 7(3), 279-294. https://doi.org/10.18488/journal.aefr/2017.7.3/102.3.279.294
  • Singh, N. (2015). Emerging trends in big data technologies. International Technology Management Review, 5(4).
  • Singh, N. (2008). A model for supply chain networks. International Journal of Value Chain Management, 2(4), 487-507
  • Shah, J., & Singh, N. (2006). Benchmarking internal supply chain performance: Development of a framework. Journal of Supply Chain Management, 37(4), 37–47. https://doi.org/10.1111/j.1745-493X.2001.tb00091.x
  • Singh, N., Shah J. (2004). Managing tendupatta leaf logistics: An integrated approach. International Transactions in Operational Research, 11(6), Blackwell.
  • Singh, N., Lai K.H., & Cheng. T.C.E. (2004). Intra-organizational perspectives on IT-enabled supply chains. Communications of the ACM, 50(1).
  • Singh, N. (2003). Emerging technologies to support Supply Chain Management. Communications of the ACM, 46(9).
  • Singh, N. (2008). A model for supply chain networks. International Journal of Value Chain Management, 2(4).
  • Singh, N., Kumar R., & Shah J. (2000). Shopaholics – An exploratory study. IIMBangalore Working Paper, No. 148.
  • Singh, N., Shah J. (2001). A framework for performance measurement scheme in decentralized internal supply chains. *IIM Bangalore Working Paper Series No 2001-5.

Awards

  • Aditya Birla Scholar at IIM Bangalore