独创性
基础(证据)
持续性
环路图
价值(数学)
知识管理
透视图(图形)
资源(消歧)
定性研究
管理科学
计算机科学
过程管理
业务
心理学
社会学
工程类
生态学
系统动力学
社会科学
计算机网络
考古
人工智能
生物
机器学习
历史
作者
Chamari Pamoshika Jayarathna,Duzgun Agdas,Les Dawes
出处
期刊:The International Journal of Logistics Management
[Emerald (MCB UP)]
日期:2023-11-07
被引量:1
标识
DOI:10.1108/ijlm-09-2022-0367
摘要
Purpose Despite the wide use of quantitative assessment to identify the relationship between green logistics (GL) practices and the sustainability performance (SP) of firms, results of these studies are inconsistent. A lack of theoretical foundation has been cited as a potential reason for these contradictory findings. This study aims to explore the relationship between GL practices and SP qualitatively and to provide a theoretical foundation for this link. Design/methodology/approach Following a multi-methodology approach, the authors used the grounded theory method (GTM) to investigate perceived relationships through qualitative analysis and adopted the system thinking (ST) approach to identify causal relationships using causal loop diagrams (CLDs). Findings The authors identified different sustainability practices under three major categories: logistics capabilities, resource-related practices and people-related practices. This analysis showed the relationships among these practices are non-linear. Based on the results, the authors developed three propositions and introduced a theoretical foundation for the relationship between GL practices and SP. Practical implications Managerial personnel can use the theoretical foundation provided by this study when making decisions on GL practices adoption. This theoretical foundation suggests applying a holistic approach that can help optimize SP by selecting suitable practices. On the other hand, researchers can use a multi-methodology approach suggested by this study to explore complex social issues. Originality/value This study contributes to the knowledge from a methodology perspective as no previous studies have been conducted to identifying the relationship between GL practices and SP by combining GTM and ST approaches. This combination can be extended to build system dynamics models for sustainable logistics impacts bringing novelty to the research field of sustainable logistics.
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