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    ADMISSIONS OPEN 2025







    Faculty

    Meet the Assistant Professor

    Dr. Chandra Prakash

    Assistant Professor,
    School of Management

    prabhakar

    Position (additional roles) : Area Chair, Operations

    Email : chandra.prakash@bmu.edu.in

    • Graduation In: B.Tech
    • Graduation From: Guru Ghasidas Vishwavidyalaya (Central University) Bilaspur Chhattisgarh
    • Graduation Year: 2013
    • Post Graduation In: M.E.
    • Post Graduation From: Rajiv Ghandhi Prodyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh
    • Post Graduation Year: 2015
    • Doctorate In: Doctor of Philosophy
    • Doctorate From: Indian Institute of Management Raipur, Raipur, Chhattisgarh
    From - To (Year) Designation & Organization Core Competency Additinal Exp. Details
    2021-2022 Assistant Professor, Great Lakes Institute of Management Chennai
    2022-2023 Assistant Professor, Indian Institute of Management Shillong, Shillong, Meghalaya
    • Prakash, C. (2024). Illuminating the mechanisms of trust building for inter-organisational relationships within humanitarian operations. Journal of Humanitarian Logistics and Supply Chain Management.
    • Roy, V., Prakash, C., & Charan, P. (2023). Under “my way or the highway”! The weaker partner’s synergy on collaborative performance in humanitarian relief when experiencing power tactics. International Journal of Operations & Production Management, 43(7), 1148-1173
    • Prakash, C., Roy V., Charan, P. (2021). Mitigating inter-organizational conflicts in humanitarian logistics collaboration: The roles of contractual agreements, trust, and post-disaster environmental uncertainty phases. The International Journal of Logistics Management
    • “Prakash, C., Besiou M., Charan, P., and Gupta, S (2020). Organization theory in humanitarian operations: A review and suggested research agenda. Journal of humanitarian logistics and supply chain management. 10(2), 261-284”
    • “Jana, R. K., Chandra, C. P., & Tiwari, A. K. (2019). Humanitarian aid delivery decisions during the early recovery phase of disaster using a discrete choice multi-attribute value method. Annals of Operations Research, 283(1), 1211-1225.”