Modelling Structural Linkages Among Last Mile Logistics Barriers: Interpretive Structuring Modelling (ISM) Approach

The present study recognises and analyses the barriers hindering implementation of sustainable practices in last mile logistics (LML) using Interpretive Structural Modelling (ISM). The review of literature and interviews with experts result in five barriers namely, user resistance, budgetary limitations, political and legal obstacles, infrastructure constraints and technical difficulties. The model reveals that user resistance serves as the primary driver among the barriers, followed by budgetary limitations and legal obstacles, which share equal significance. Infrastructure constraints came next in the hierarchy. Followed by ISM, the barriers were subjected to MICMAC analysis which classified them into linkage, autonomous, dependent and driver barriers. User resistance is the driver barrier whose presence leads to other barriers in the model, whereas, constraints due to infrastructure and technical difficulties are the dependent barriers. The result of the analysis from this study offers valuable guidance for industry stakeholders and policymakers alike, emphasizing the importance of strategic interventions aimed at overcoming these barriers.

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Publication Details

Journal
AIJR Proceedings
Published
2025-03-17
DOI
https://doi.org/10.21467/proceedings.178.11
Primary Topic
Outsourcing and Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Modelling Structural Linkages Among Last Mile Logistics Barriers: Interpretive Structuring Modelling (ISM) Approach

Naresh Kumar Agarwal, Dikshit Chaudhary
AIJR Proceedings
Outsourcing and Supply Chain Management
article

Modelling Structural Linkages Among Last Mile Logistics Barriers: Interpretive Structuring Modelling (ISM) Approach

Naresh Kumar Agarwal, Dikshit Chaudhary
article en

Abstract

The present study recognises and analyses the barriers hindering implementation of sustainable practices in last mile logistics (LML) using Interpretive Structural Modelling (ISM). The review of literature and interviews with experts result in five barriers namely, user resistance, budgetary limitations, political and legal obstacles, infrastructure constraints and technical difficulties. The model reveals that user resistance serves as the primary driver among the barriers, followed by budgetary limitations and legal obstacles, which share equal significance. Infrastructure constraints came next in the hierarchy. Followed by ISM, the barriers were subjected to MICMAC analysis which classified them into linkage, autonomous, dependent and driver barriers. User resistance is the driver barrier whose presence leads to other barriers in the model, whereas, constraints due to infrastructure and technical difficulties are the dependent barriers. The result of the analysis from this study offers valuable guidance for industry stakeholders and policymakers alike, emphasizing the importance of strategic interventions aimed at overcoming these barriers.

AIJR Proceedings
Guru Teg Bahadur Hospital (IN), Department of Agriculture & Co-operation (IN)
Openalex Percentile: Top 92%
Outsourcing and Supply Chain Management
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Modelling Structural Linkages Among Last Mile Logistics Barriers: Interpretive Structuring Modelling (ISM) Approach — Naresh Kumar Agarwal, Dikshit Chaudhary · AIJR Proceedings (2025) | TGRS Research Map | TGRS