Strategic insights into last-mile delivery: modelling the industry 4.0 enabler for e-commerce industry

Authors

  • Vijay Prakash Sharma K R Mangalam University. School of Management and Commerce
  • Surya Prakash Great Lakes Institute of Management Gurgaon. Department of Operations Management https://orcid.org/0000-0003-4147-9399
  • Ranbir Singh BML Munjal University. Mechanical Engineering Department, School of Engineering and Technology
  • Ojha Ravindra Great Lakes Institute of Management Gurgaon. Department of Operations Management
  • Bharti Ramtiyal Graphic Era Deemed to be University. Department of Management Studies

DOI:

https://doi.org/10.1108/RAUSP-07-2024-0146

Keywords:

Last-mile delivery, E-commerce logistics, Interpretive structural modelling, Industry 4.0, Technology adoption

Abstract

Purpose

Excellent customer experience with doorstep delivery is one of the motivations for online purchasing and e-commerce. Optimal technology-driven last-mile delivery is the backbone of this business model. This paper aims to identify industry 4.0 (I4.0) technology-based enablers for efficient e-commerce logistics for last-mile delivery (LMD) operations.

Design/methodology/approach

This study adopts an empirically grounded quantitative approach for defining and analysing the I4.0 technology enablers for efficient LMD operations. It adopts interpretive structural modelling and matrice d’impacts croisés multiplication appliquée á un classement analysis to identify the dependency and relationship among the identified enablers.

Findings

The transformation technologies of I4.0 offer a comprehensive package to handle LMD and e-commerce business challenges. This research identified that LMD and logistics will be dominated by autonomous running vehicles, drones and robots; apart from that, in I4.0 adoption cases, the implementation of radio-frequency identification was found suitable for efficient logistics networks. In addition, digitalisation through digital twins, robots, autonomous vehicles and Internet of Things adoption was found to drive the system and is crucial for strategic action.

Research limitations/implications

The findings of this research help companies and the e-commerce industry to evaluate strategic technological investments in promising I4.0 for LMD. The study also helps managers to focus on initiating and integrating digital technologies and autonomous vehicles, drones and robots focused on LMD improvement.

Practical implications

The findings of this research help companies and the e-commerce industry to evaluate strategic technological investments in promising I4.0 for LMD. The study also helps managers to focus on initiating and integrating digital technologies and autonomous vehicles, drones and robots focused on LMD improvement.

Social implications

Industry 4.0 technologies enable more efficient route planning, reducing fuel consumption and lowering carbon emissions. Optimised delivery networks reduce waste and ensure more efficient use of resources by using suggested technologies.

Originality/value

This study presents strategic insights into LMD and I4.0 enablers for the e-commerce environment. It proposes a theoretical framework that can serve as a roadmap for implementing I4.0 technologies to address unaddressed bottlenecks in LMD operations, lowering the logistics network’s efficiency.

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Published

2025-12-29

Issue

Vol. 60 No. 01 (2025)

Section

Research Paper

License

Copyright (c) 2025 Vijay Prakash Sharma, Surya Prakash, Ranbir Singh, Ojha Ravindra, Bharti Ramtiyal

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