A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions

被引:252
|
作者
Khan, Syed Abdul Rehman [1 ,2 ]
Yu, Zhang [3 ]
Golpira, Heris [4 ]
Sharif, Arshian [5 ]
Mardani, Abbas [6 ,7 ]
机构
[1] Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China
[2] Xuzhou Univ Technol, Sch Management, Xuzhou, Jiangsu, Peoples R China
[3] Changan Univ, Sch Econ & Management, Xian, Peoples R China
[4] Islamic Azad Univ, Sanandaj Branch, Dept Ind Engn, Sanandaj, Iran
[5] Univ Utara Malaysia, Othman Yeop Abdullah Grad Sch Business, Changlun, Malaysia
[6] Ton Duc Thang Univ, Informetr Res Grp, Ho Chi Minh City, Vietnam
[7] Ton Duc Thang Univ, Fac Business Adm, Ho Chi Minh City, Vietnam
基金
中国博士后科学基金;
关键词
State-of-the-Art; Meta-analysis; Sustainability; Supply chain management; Systematic review; Sustainable supply chain; Triple bottom line; LEAN; 6; SIGMA; CORPORATE SOCIAL-RESPONSIBILITY; REVERSE LOGISTICS; CONCEPTUAL-FRAMEWORK; ENVIRONMENTAL SUSTAINABILITY; DYNAMIC CAPABILITIES; SUCCESS FACTORS; GREEN; PERFORMANCE; BARRIERS;
D O I
10.1016/j.jclepro.2020.123357
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There is no doubt that since the last decade, as the focus towards sustainability has grown significantly in the supply chain field, many empirical and conceptual papers have been published in journals. This study aims to investigate the present and emerging trends in the field of SSCM (sustainable supply chain management), meanwhile exploring future research directions. This article conducts the meta-analysis and systematic review of 362 research papers published in the well known peer-reviewed journals in the last sixteen years (2004-2019). The present study structured the reviewed literature with the following categories: drivers and barriers of the sustainable supply chain, adopted multi-criteria-decision-making techniques, year-wise number of research papers, names of journals and publishers, and classification of articles based on research design and method. This study draws an up-to-date picture of the recent developments, emerging trends, and gaps for future studies in the field of SSCM. The finding shows that the area has dominated by MCDM (Multiple-criteria decision making) based research methods and firms-level studies. Furthermore, researchers need to employ efficient algorithms and advanced economic modelling and conduct studies on the macro-level (country, and region-levels) to explore new linkages. (C) 2020 Published by Elsevier Ltd.
引用
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页数:12
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