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Green supply chain management: Scientometric review and analysis of empirical research
Journal of Cleaner Production ( IF 11.1 ) Pub Date : 2020-10-19 , DOI: 10.1016/j.jclepro.2020.124722
Manjot Singh Bhatia , Kishore Kumar Gangwani

The purpose of this article is to review the empirical research in green supply chain management (GSCM) and discuss its current status. The article provides an assessment of research methodologies of 216 empirical studies in GSCM, which are published during the period 2001 – 2019, according to the approach proposed by Flynn et al. (1990). The findings indicate that number of empirical papers in GSCM has increased at a faster rate over the last few years. However, there are several aspects of empirical research which have been still unexplored such as the use of actual data for analyzing the GSCM performance, use of longitudinal data and use of research designs other than survey. The sectors other than manufacturing and automotive are also still relatively unexplored. More focus is also needed on the collection of sample data from emerging economies. Finally, detailed frameworks need to be developed which can help firms to implement each of the GSCM practices. To the best of authors’ knowledge, this study is the first to specifically review the empirical papers in GSCM. The paper provides future research directions for empirical work in GSCM.



中文翻译:

绿色供应链管理:科学计量学审查和实证研究分析

本文的目的是回顾绿色供应链管理(GSCM)的实证研究并讨论其现状。本文根据Flynn等人提出的方法,对GSCM的216项实证研究的研究方法进行了评估,这些研究在2001年至2019年期间发表。(1990)。研究结果表明,在过去几年中,GSCM的经验论文数量以更快的速度增长。但是,实证研究有几个方面尚未探索,例如使用实际数据分析GSCM的性能,使用纵向数据以及使用除调查之外的研究设计。除制造业和汽车业以外的其他领域也仍未得到开发。还需要更加集中精力从新兴经济体收集样本数据。最后,需要制定详细的框架,以帮助公司实施每种GSCM做法。据作者所知,本研究是第一个专门综述GSCM中经验论文的研究。本文为GSCM的经验工作提供了未来的研究方向。

更新日期:2020-10-19
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