Investigating the Drivers of the Reverse Logistics Implementation in Reducing Waste in Vietnam

被引:1
作者
Le, Son-Tung [1 ,2 ]
机构
[1] Vietnam Maritime Univ, Fac Econ, Haiphong City, Vietnam
[2] Vietnam Maritime Univ, Fac Econ, 484 LachTray, Haiphong City 180000, Vietnam
关键词
Reverse logistics; performances; economic drivers; environmental drivers; sustainability; corporate social responsibility; SUPPLY CHAIN MANAGEMENT; CRITERIA DECISION-MAKING; COMPETITIVE ADVANTAGE; CERTIFIED COMPANIES; GREEN PRACTICES; PERFORMANCE; SUSTAINABILITY; FRAMEWORK; NETWORK; RESPONSIBILITY;
D O I
10.1177/11786302231211058
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Reverse logistics systems are now acknowledged as being crucial for enterprises to enhance their overall financial and environmental performance, particularly in developing nations where they face more challenges on both fronts. The majority of researchers examined drivers and barriers to implementation in developed nations. This study aims to investigate the main factors that positively influence the practice of reverse logistics in a developing country such as Vietnam. The study employed a sample of 287 managers within 5 industries. According to the findings, 4 key factors influenced the reverse logistics implementation in developing countries: economic drivers, competitive drivers, outsourcing drivers, and environmental drivers. Regulation drivers and reputation drivers have little influence on reverse logistics performance, contrary to predictions. The findings help scholars in understanding the factors influencing reverse logistics operations in emerging nations. Furthermore, the findings demonstrate differences in the drivers of reverse logistics execution in developing and developed countries.
引用
收藏
页数:18
相关论文
共 101 条
[31]   Green business among certified companies in Malaysia towards environmental sustainability: benchmarking on the drivers, initiatives and outcomes [J].
Eltayeb, Tarig Khidir ;
Zailani, Suhaiza ;
Leal Filho, Walter .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL TECHNOLOGY AND MANAGEMENT, 2010, 12 (01) :95-125
[32]   A two-stage stochastic planning model for locating product collection centers in green logistics networks [J].
Eslamipoor, Reza .
CLEANER LOGISTICS AND SUPPLY CHAIN, 2023, 6
[33]   An optimization model for green supply chain by regarding emission tax rate in incongruous vehicles [J].
Eslamipoor, Reza .
MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (01) :227-238
[34]  
Fleischmann M., 2001, Quantitive Models for Reverse Logistics
[35]   EVALUATING STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR [J].
FORNELL, C ;
LARCKER, DF .
JOURNAL OF MARKETING RESEARCH, 1981, 18 (01) :39-50
[36]   The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies [J].
Geng, Ruoqi ;
Mansouri, Afshin ;
Aktas, Emel .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 183 :245-258
[37]   Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain [J].
Govindan, Kannan ;
Khodaverdi, Roohollah ;
Vafadarnikjoo, Amin .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (20) :7207-7220
[38]   Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future [J].
Govindan, Kannan ;
Soleimani, Hamed ;
Kannan, Devika .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 240 (03) :603-626
[39]  
Grabara J., 2010, Econ Anal, V43, P99
[40]  
Hair J.F., 2016, A First on Partial Least Squares Structural Equation Modeling (PLS-SEM), V2nd, DOI [DOI 10.1007/978-3-319-57413-415, 10.15358/9783800653614]