Dr. Anup Kumar

Dr. Anup Kumar
Associate Professor & Dean (SW)-Deptt. of Management Studies
Expertise- AI in Aviation Supply Chain & Aviation Operations Strategy.
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Profile Summary

Dr. Anup Kumar is an accomplished academic and practitioner in the field of Operations and Decision Sciences, with over 10 years of teaching and research experience across premier institutions like IMT Ghaziabad, IMT Nagpur, IIM Jammu, and the Institute of Public Enterprise, Hyderabad. His expertise spans a range of subjects including Business Statistics, Business Analytics, AI in Business, Analytics with Python, Supply Chain Strategy, and Operations Strategy.

Beyond academia, Dr. Kumar brings hands-on entrepreneurial experience in agri and pharma supply chain management, making him uniquely positioned at the intersection of theory and real-world application.

Academic Qualifications

  • Ph.D. in Supply Chain Management, IIT (ISM) Dhanbad, 2014
  • M.Tech in Industrial Engineering & Management, 2007
  • B.Tech in Electronics and Communication Engineering, 2005

Teaching & Training Expertise

  • Business Analytics & AI in Business
  • Predictive Analytics using R & SAS
  • Supply Chain Analytics & Strategy
  • Operations & Decision Sciences
  • Conducted FDPs and MDPs on advanced analytics and agri-business strategy

Highlights (2019–2024)

  • AIMS Management Scholar Award, August 2024
  • 37 international publications (Scopus and Web of Science indexed)

19 ABDC-listed papers (including 5 ‘A’ and 1 ‘A* paper)

6 SCI-indexed papers (Impact Factor > 0.5)

  • Conducted FDP on “Predictive Analytics using R and SAS”, IMT Ghaziabad (2015)
  • Led MDP on “Farm to Pharma” for Agripreneurs, IMT Nagpur (2023)
  • Maintained an average student feedback score of 8/10 (2023–24)

Visiting Assignments

  • IIIT Lucknow
  • IMT Dubai

Purely Administrative work (Last Five Years)

  1. Chair Purchase Committee
  2. Chair Sustainability Center 
  3. Member Research Committee 
  4. Editor IMT Research Journal

Publication in the international journal

  1. Upadhyay, P., & Kumar, A. (2024). Evolving role of public-private stakeholders in technology mediated teaching. Digital Policy, Regulation and Governance. https://doi.org/10.1108/DPRG-09-2023-0130
  2. Kumar, A., Upadhyay, P., & Tiwari, A. (2024). Analyzing the interplay between social media analytics and nudges in pandemic control. International Journal of Information Management Data Insights. https://doi.org/10.1016/j.jjimei.2024.100246
  3. Kumar, A. (2024). Unveiling the dynamics of social distancing intentions in India: A comprehensive analysis integrating health belief and planned behavior models. Journal of Facilities Management. https://doi.org/10.1108/JFM-02-2023-0022
  4. Kumar, A., & Chauhan, V. S. (2024). Exploring the mediating role of big data in the relationship between servant leadership and firm performance: Insights from private hospitals in India. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-08-2023-0453
  5. Kumar, A. (2024). The role of simulation and modelling in artificial intelligence: A review. International Journal of Modeling, Simulation, and Scientific Computing. https://doi.org/10.1142/S1793962324300024
  6. Kumar, A., Srivastwa, S., & Bhattacharya. (2023). Measuring strategic fit using big data analytics in the automotive supply chain: A data source triangulation-based research. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-11-2021-0672
  7. Upadhyay, P., Kumar, A., & Adalkha, A. (2022). Continual usage intention of platform-based governance services: A study from an emerging economy. Government Information Quarterly. https://doi.org/10.1016/j.giq.2021.101651
  8. Kumar, A., Sriwastwa, S., & Adalkha, A. (2022). Appropriation of sustainability priorities to gain strategic advantage in a supply chain. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-06-2020-0298
  9. Kumar, A. (2022). How blockchain technology can be a sustainable infrastructure for the agrifood supply chain in developing countries. Journal of Global Operations and Strategic Sourcing. https://doi.org/10.1108/JGOSS-08-2021-0058
  10. Kumar, A., Joshi, S., & Joshi, M. (2022). Digital humanitarianism and crisis management: An empirical study of antecedents and consequences. Journal of Humanitarian Logistics and Supply Chain Management. https://doi.org/10.1108/JHLSCM-02-2022-0020
  11. Kumar, A., & Adalkha, A. (2022). Antecedents and consequences of adopting CLTS among tribal communities to become open defecation free: Case study on Indian Swachh Bharat Abhiyan. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-18854-3
  12. Kumar, A., Upadhyay, P., & Paul, M. (2021). From physical food security to digital food security: Delivering value through blockchain. Scandinavian Journal of Information Systems. https://aisel.aisnet.org/sjis/vol33/iss2/5
  13. Kumar, A. (2021). Value and incentives for adoption of blockchain technology for a single supplier multiple retailer networks. The Journal of High Technology Management. https://doi.org/10.1016/j.hitech.2021.100407
  14. Kumar, A., Shrivastav, S. K., & Singh, S. S. (2021). Application of analytics in supply chain management from industry and academic perspective. FIIB Business Review. https://doi.org/10.1177/23197145211028041
  15. Kumar, A., Shrivastav, S. K., & Mukherjee, K. (2021). Performance evaluation of Indian banks using feature selection data envelopment analysis: A machine learning perspective. Journal of Public Affairs. https://doi.org/10.1002/pa.2686
  16. Kumar, A., Viswakarma, N. K., Adlakha, A., & Mukherjee, K. (2021). How successful have the lockdowns been in controlling the (COVID-19/SARS-CoV-2) pandemic—A simulation-based analysis. International Journal of Modeling, Simulation, and Scientific Computing. https://doi.org/10.1142/S1793962320410020
  17. Vishvakarma, N. K., Sharma, R. R. K., & Kumar, A. (2021). An empirical analysis of impact of organizational strategies on critical success factors of business process reengineering. Global Journal of Flexible Systems Management. https://doi.org/10.1007/s40171-021-00259-9
  18. Upadhyay, P., & Kumar, A. (2020). The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2020.102100
  19. Chakraborty, T., Kumar, A., Upadhyay, P., & Dwivedi, Y. K. (2020). The linkage between social distancing, cognitive dissonance, and social networking intensity: A country-level study during COVID-19 outbreak. Internet Research. https://doi.org/10.1108/INTR-05-2020-0281
  20. Kumar, A., Shrivastawa, S., Adlakha, A., & Vishwakarma, N. (2020). Appropriation of sustainability priorities to gain strategic advantage in a supply chain. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-06-2020-0298
  21. Sahu, A., Kumar, A., Sahu, A., & Sahu, N. (2020). Evaluation of machine tool substitute under data driven quality management system: A hybrid decision making approach. The TQM Journal. https://doi.org/10.1108/TQM-07-2020-0153
  22. Kumar, A. (2020). Improvement of public distribution system efficiency applying blockchain technology during pandemic outbreak (COVID-19). Journal of Humanitarian Logistics and Supply Chain Management. https://doi.org/10.1108/JHLSCM-06-2020-0050
  23. Kumar, A., Viswakarma, N., Adlakha, A., & Mukherjee, K. (2020). How successful have the lockdowns been in controlling the (COVID-19/SARS-CoV-2) pandemic—A simulation-based analysis. International Journal of Modeling, Simulation, and Scientific Computing. https://doi.org/10.1142/S1793962320410020
  24. Kumar, A., Vishwakarma, N. K., & Upadhyay, P. (2020). Digital humanitarianism in a pandemic outbreak: An empirical study of antecedents and consequences. International Working Conference on Transfer and Diffusion of IT.
  25. Kumar, A., & Mukherjee, K. (2020). Lean manufacturing in pharmaceutical closed-loop supply chain. International Journal of Environment and Waste Management.
  26. Kumar, A., Upadhyay, P., Sharma, S. K., & Gupta, P. (2020). Role of intrinsic and extrinsic factors affecting continuance intentions of digital payment services. International Working Conference on Transfer and Diffusion of IT.
  27. Kumar, A., & Thakur, R. R. (2019). Objectivity in performance ranking of higher education institutions using dynamic data envelopment analysis. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-03-2018-0089
  28. Upadhyay, P., & Kumar, A. (2019). A house of sustainability-based approach for green product design. Management of Environmental Quality: An International Journal. https://doi.org/10.1108/MEQ-03-2019-0057
  29. Sharma, K. K., & Kumar, A. (2018). Facilitating quality project manager selection for Indian business environment using analytical hierarchy process. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-10-2016-0175
  30. Kumar, A., Adlakha, A., & Mukherjee, K. (2018). The effect of perceived security and grievance redressal on continuance intention to use M-wallets in a developing country. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-04-2017-0077
  31. Kumar, A. (2016). A conceptual model for automation of product dynamic pricing and sales promotion for a retail organization. Kybernetes. https://doi.org/10.1108/K-03-2015-0075
  32. Kumar, A., Adlakha, A., & Mukherjee, K. (2016). Modeling of product sales promotion and price discounting strategy using fuzzy logic in a retail organization. Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-10-2015-0438
  33. Kumar, A., Mukherjee, K., & Adlakha, A. (2015). Dynamic performance assessment of a supply chain process. Business Process Management Journal. https://doi.org/10.1108/BPMJ-09-2014-0086
  34. Kumar, A., Mukherjee, K., & Kumar, N. (2013). Modelling, simulation and analysis of control mechanism of a dynamic supply chain system considering supply-price trade-off, using control theory. Business Process Management Journal. https://doi.org/10.1108/BPMJ-05-2012-0044
  35. Kumar, A., Mukherjee, K., & Kumar, N. (2013). A decision support system for control mechanism of inventory in a dynamic supply chain system considering supply-price trade-off using control theory. International Journal of Business Performance and Supply Chain Modelling. https://doi.org/10.1504/IJBPSCM.2013.055741