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Modelling Inland Waterborne Transport for Supply Chain Policy Planning: An Indian Perspective

Author

Listed:
  • Pradeep Kumar

    (Internal Finance & Budgetary Control, Ministry of Power)

  • Abid Haleem

    (Jamia Millia Islamia)

  • Furqan Qamar

    (Central University of Himachal Pradesh)

  • Urfi Khan

    (Indira Gandhi Delhi Technical University for Women)

Abstract

This paper identifies and models enablers of inland water transport mode in India. A well-known technique of Total Interpretive Structural Modelling (TISM) has been used to develop the hierarchal structural model. The input to this model has come from an extensive literature review, Pentagon model based stakeholder analysis, after which several idea engineering workshops were conducted involving stakeholders. The structural model so developed is based upon ten enablers. However, this model was further analysed using Fuzzy-MICMAC and TISM approach. The extensive analysis in integrated model pointed towards the major driving power with the enablers ‘Regulator’, and ‘Incentives’. ‘Project Management’ came at the centre of the framework driven by other enablers like ‘Fairway’, ‘Private Investment’, ‘Public funding’, and ‘Cargo assurance’. This model depicts the practical use of multimodal transport in Inland waterborne transportation. Multimodal transport enhances supply chain flexibility by improving its logistics flexibility component. This model has been adopted and is successfully creating value for the government as well as for the private partners, and tells a successful story of public-private partnership in Inland Waterborne Transportation.

Suggested Citation

  • Pradeep Kumar & Abid Haleem & Furqan Qamar & Urfi Khan, 2017. "Modelling Inland Waterborne Transport for Supply Chain Policy Planning: An Indian Perspective," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 353-366, December.
    • Handle: RePEc:spr:gjofsm:v:18:y:2017:i:4:d:10.1007_s40171-017-0166-4
    DOI: 10.1007/s40171-017-0166-4
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    References listed on IDEAS

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    1. V. Mani & Rajat Agrawal & Vinay Sharma, 2016. "Impediments to Social Sustainability Adoption in the Supply Chain: An ISM and MICMAC Analysis in Indian Manufacturing Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 135-156, June.
    2. Neetu Yadav, 2014. "Total interpretive structural modelling (TISM) of strategic performance management for Indian telecom service providers," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(4), pages 421-445, April.
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    Cited by:

    1. Aalok Kumar & Ramesh Anbanandam, 2020. "A Flexible Policy Framework for Analysing Multimodal Freight Transportation System in India: SAP–LAP and Efficient IRP Method," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 35-52, March.
    2. Sushil,, 2018. "Incorporating polarity of relationships in ISM and TISM for theory building in information and organization management," International Journal of Information Management, Elsevier, vol. 43(C), pages 38-51.
    3. Dini, Niloofar & Yaghoubi, Saeed & Bahrami, Hamideh, 2025. "Logistics Performance Index-driven in operational planning for logistics companies: A smart transportation approach," Transport Policy, Elsevier, vol. 160(C), pages 42-62.

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