Green logistics and supply chain knowledge management: an extended framework-based systematic literature review

Purpose This paper aims to address the theoretical and methodological gaps in the green logistics and supply chain management (GLSCM) literature through the lens of knowledge management. Design/methodology/approach A systematic literature review of 80 articles was conducted following a strict research protocol and the theories-contexts-methods framework, refined through explicit inclusion and exclusion criteria. Findings Results show that the resource-based view, the natural-resource-based view and institutional theory are the most frequently applied theories in GLSCM research. The literature is dominated by single-country studies, with limited attention to multi-country contexts. A similar pattern is observed at the industry level, where only a few studies cover multiple industries. Building on these findings, this study develops a framework that extends current theoretical approaches and emphasizes the need to incorporate global, national and organizational-level knowledge-sharing and innovation practices to prepare for and respond to disruptions like the global pandemic. Research limitations/implications Although justified in the existing literature, the research protocol applied may exclude relevant studies. Similarly, the coding procedure, while guided by strict rules, may unintentionally introduce bias. Practical implications When facing multiple combined external pressures on the supply chain network, firms can mitigate adverse effects by creating knowledge, engaging knowledge brokers and establishing a digital platform and governance mechanism for effective knowledge transfer. The study also highlights a growing trend in stakeholder activism. Stricter regulations and transparent incentives tied to sustainable practices throughout the supply chain could encourage more sustainable behaviors among all stakeholders. Originality/value This study proposes a knowledge-driven framework to enable firms to achieve sustainability in logistics and supply chain networks within the global economy.

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Publication Details

Journal
Journal of Knowledge Management
Published
2026-02-05
DOI
https://doi.org/10.1108/jkm-04-2025-0483
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
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article

Green logistics and supply chain knowledge management: an extended framework-based systematic literature review

Hussain Gulzar Rammal, Vijay Pereira, Ana Joana C. Fernandes, S. Ng et al.
Journal of Knowledge Management
Sustainable Supply Chain Management
article

Green logistics and supply chain knowledge management: an extended framework-based systematic literature review

Hussain Gulzar Rammal, Vijay Pereira, Ana Joana C. Fernandes, S. Ng, João J.M. Ferreira
article en

Abstract

Purpose This paper aims to address the theoretical and methodological gaps in the green logistics and supply chain management (GLSCM) literature through the lens of knowledge management. Design/methodology/approach A systematic literature review of 80 articles was conducted following a strict research protocol and the theories-contexts-methods framework, refined through explicit inclusion and exclusion criteria. Findings Results show that the resource-based view, the natural-resource-based view and institutional theory are the most frequently applied theories in GLSCM research. The literature is dominated by single-country studies, with limited attention to multi-country contexts. A similar pattern is observed at the industry level, where only a few studies cover multiple industries. Building on these findings, this study develops a framework that extends current theoretical approaches and emphasizes the need to incorporate global, national and organizational-level knowledge-sharing and innovation practices to prepare for and respond to disruptions like the global pandemic. Research limitations/implications Although justified in the existing literature, the research protocol applied may exclude relevant studies. Similarly, the coding procedure, while guided by strict rules, may unintentionally introduce bias. Practical implications When facing multiple combined external pressures on the supply chain network, firms can mitigate adverse effects by creating knowledge, engaging knowledge brokers and establishing a digital platform and governance mechanism for effective knowledge transfer. The study also highlights a growing trend in stakeholder activism. Stricter regulations and transparent incentives tied to sustainable practices throughout the supply chain could encourage more sustainable behaviors among all stakeholders. Originality/value This study proposes a knowledge-driven framework to enable firms to achieve sustainability in logistics and supply chain networks within the global economy.

Journal of Knowledge ManagementVol. 30(11)
University of Beira Interior (PT), Entrepreneurial Ecosystems (US), The University of Adelaide (AU)
Openalex Percentile: Top 68%
Sustainable Supply Chain Management
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