Original Research

Overcoming barriers to green procurement: Insights from an integrated model of decision-making trial and evaluation laboratory-interpretive structural modelling in logistics industry

Aries Susanty, Nia B. Puspitasari, Darminto Pujotomo, Bambang Purwanggono, Muhammad S. Akbar
Journal of Transport and Supply Chain Management | Vol 20 | a1218 | DOI: https://doi.org/10.4102/jtscm.v20i0.1218 | © 2026 Aries Susanty, Nia B. Puspitasari, Darminto Pujotomo, Bambang Purwanggono, Muhammad S. Akbar | This work is licensed under CC Attribution 4.0
Submitted: 31 July 2025 | Published: 08 January 2026

About the author(s)

Aries Susanty, Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia
Nia B. Puspitasari, Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia
Darminto Pujotomo, Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia
Bambang Purwanggono, Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia
Muhammad S. Akbar, Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia

Abstract

Background: Indonesia’s logistics industry boosts economic growth but harms the environment via plastic waste and carbon emissions – single-use plastics and fossil fuel transport cause persistent pollution. Green procurement (GP) is essential to reduce these impacts by prioritising sustainable suppliers and products despite cost and regulatory challenges.
Objectives: The objective of this study is to explore the interconnections and significance of barriers affecting the implementation of GP in Indonesia’s logistics sector.
Method: The study employs content validity analysis, decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modelling (ISM) approaches for data processing. These methods are used to identify, analyse and structure the relationships and hierarchical positioning of the barriers.
Results: The study identifies 14 key barriers to the successful implementation of GP in Indonesia’s logistics industry. Key barriers include the lack of eco-friendly materials, insufficient supplier readiness, the absence of regulatory frameworks and inadequate government incentives. These foundational barriers trigger cascading effects that impact both operational and strategic procurement levels.
Conclusion: The findings suggest overcoming barriers through targeted supplier training, increasing eco-friendly materials, adopting effective GP regulations and enhancing government incentives, which will reduce environmental impact, promote sustainable logistics practices and support broader environmental sustainability goals.
Contribution: This study helps Indonesia’s logistics by providing practical solutions that enable the industry to adopt sustainable practices, reduce environmental impacts and support national sustainability goals.


Keywords

barriers; green procurement; logistics industry; decision-making trial and evaluation laboratory; interpretive structural modelling

JEL Codes

L91: Transportation: General

Sustainable Development Goal

Goal 9: Industry, innovation and infrastructure

Metrics

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