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A study on the influential factors of the last mile delivery projects during Covid-19 era

Author

Listed:
  • M. Suguna

    (Kumaraguru College of Technology)

  • Bhavin Shah

    (Indian Institute of Management)

  • S. Karthik Raj

    (Amrita School of Business, Amrita Vishwa Vidyapeetham)

  • M. Suresh

    (Amrita School of Business, Amrita Vishwa Vidyapeetham)

Abstract

The Covid-19 has shifted the face of many markets including e-commerce and online business with many bottlenecks to be cleared. The last-mile delivery project has the greatest effect on all types of e-commerce companies because it has many consumer touchpoints as well as the Covid-19 pain points. Due to these interconnected issues, the delivery projects itself requires modern solutions. The purpose of this paper is to identify, analyse and categorize the major factors that affect the last mile delivery projects in e-commerce, food sector, retail sector and so on using total ınterpretive structural modelling approach during the Covid-19. Ten major factors are identified from literature review, and expert opinions are collected from multiple organizations that are involved in the last mile delivery projects. The results indicate that types of goods, achieving routing efficiency and meeting fulfilment timeline are the key factors for last mile delivery projects during the time of Covid-19. This study helps the managers to identify the key factors and to focus on these factors for the successful implementation of last mile delivery project.

Suggested Citation

  • M. Suguna & Bhavin Shah & S. Karthik Raj & M. Suresh, 2022. "A study on the influential factors of the last mile delivery projects during Covid-19 era," Operations Management Research, Springer, vol. 15(1), pages 399-412, June.
  • Handle: RePEc:spr:opmare:v:15:y:2022:i:1:d:10.1007_s12063-021-00214-y
    DOI: 10.1007/s12063-021-00214-y
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    References listed on IDEAS

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    1. D. Laurie Hughes & Nripendra P. Rana & Yogesh K. Dwivedi, 2020. "Elucidation of IS project success factors: an interpretive structural modelling approach," Annals of Operations Research, Springer, vol. 285(1), pages 35-66, February.
    2. Vakulenko, Yulia & Shams, Poja & Hellström, Daniel & Hjort, Klas, 2019. "Service innovation in e-commerce last mile delivery: Mapping the e-customer journey," Journal of Business Research, Elsevier, vol. 101(C), pages 461-468.
    3. Deepak Mathivathanan & K. Mathiyazhagan & Nripendra P. Rana & Sangeeta Khorana & Yogesh K. Dwivedi, 2021. "Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3338-3359, June.
    4. Madhukar Patil & M. Suresh, 2019. "Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(2), pages 157-175, June.
    5. Rojalin Patri & M. Suresh, 2017. "Modelling the Enablers of Agile Performance in Healthcare Organization: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 251-272, September.
    6. Surajit Bag, 2016. "Green strategy, supplier relationship building and supply chain performance: total interpretive structural modelling approach," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 9(4), pages 398-426.
    7. J. Jena & Sumati Sidharth & Lakshman S. Thakur & Devendra Kumar Pathak & V.C. Pandey, 2017. "Total Interpretive Structural Modeling (TISM): approach and application," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(2), pages 162-181, May.
    8. Luigi Ranieri & Salvatore Digiesi & Bartolomeo Silvestri & Michele Roccotelli, 2018. "A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
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