scholarly journals Impact of Green Supply Chain on Supply Chain Performance

2022 ◽  
Vol 19 ◽  
pp. 442-452
Author(s):  
Ghufran Saed Hijjawi

The purpose of this paper is empirically assessment of the impact of the green supply chain on supply chain performance in terms of social, operational, and environmental, for Jordanian chemical industries. In this paper, the proposed model was developed based on literature review and previous exploratory studies related to GSC and different kinds of SC performance. Tested on sample equal 150 managers of Jordanian detergent manufacturing factories and the returned ones that applicable for analysis were 120 questionnaires, which analyzed using AMOS 27. The results were as follows: there is no impact of green purchase, green production, and green distribution on supply chain performance. While there is an impact of green supply and green design on SC performance, taking into consideration the community and region of study.

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Xiaochun Chen ◽  
Rui Zhang ◽  
Bo Lv

With the rapid development of the Internet and changes in consumer buying habits, many manufacturers are increasingly relying on online channels to sell their products as opposed to traditional retail channels. In this study, we innovatively investigate the impact of corporate social responsibility (CSR) and consumer green preferences (CGP) on supply chain performance and product green level in the dual-channel green supply chain (DCGSC). Specifically, four models of DCGSC (centralized, independent CSR, cooperative CSR, and collaboration contract) are investigated. Next, we use game theory to investigate the optimal product green level, online and offline selling prices, social welfare, profits of supply chain enterprises, and the whole supply chain under the four models. We give numerical examples to demonstrate the effectiveness and viability of the four models. We find several interesting conclusions. First, increasing the attention to both CSR and CGP by supply chain enterprises is conducive to stimulating innovation and improving product green level. Second, when supply chain enterprises actively execute their CSR, they can reasonably control online and offline selling prices and increase consumer surplus and the profits of whole supply chain and social welfare are increased. Third, it is beneficial to increase the value of supply chain enterprises to enhance CSR within a certain threshold, but when CSR is higher than the threshold, the profitability of supply chain enterprises is weakened. Finally, collaboration contracts are capable of coordinating DCGSC and guaranteeing the profitability of supply chain enterprises.


Author(s):  
Sanjay Sharma ◽  
Mohd. Asif Gandhi

Purpose The purpose of this paper is to explore the peer-reviewed literature, as well as literature written by practitioners having authority on green supply chains and allied areas with a view to identify future research directions with the help of an extensive literature review. Design/methodology/approach In line with this objective, the constructs “Green Supply Chain Practices” and “Green Supply Chain Performance” were the two terms that were identified for a co-relational study. Findings As indicated by the literature review, there is a need to do a more detailed study that can pinpoint particular components of green supply chain practices that have a strong association with particular components of green supply chain performance. This paper attempts to achieve the aim by using a different connotation of these two constructs. Originality/value Such a study with the connotation and components of green supply chain (GSC) practices and GSC performance as identified and used in this paper might not have been conducted before in the way it is proposed to be used in this paper, thus making this an appropriate contribution. Accordingly, a framework for the research has been depicted, and research questions have been framed.


2020 ◽  
Vol 19 (01) ◽  
pp. 2040026
Author(s):  
Sara Jassim ◽  
Muneer Al-Mubarak ◽  
Allam Hamdan

As the world grows and develops, people become more aware of business operational processes that are extremely harmful to our environment. Recently, customers’ demands, and governmental legislations have forced domestic and global organizations to implement environmentally sustainable practices in order to cure what has been damaged in the previous decades. This study focuses on the impact of green supply chain management practices on firm’s performance. These practices are green purchasing, green packaging, green manufacturing, green design and green marketing. A questionnaire was circulated among two companies of two industries: shipping and automobile. 80 managers and supervisors were targeted; 59 responses were received indicating a response rate of (74%). For testing, regression analysis and T-test were used. From the analysis, it was found that most of green practices influence firm’s performance with green manufacturing the most adopted practice that shapes the industries, followed by green marketing and green purchasing. On the other hand, little impact was found in green packaging and negative impact of green design on firm’s performance. Overall, the study indicates that the tested sample is moving towards the green concept but still it is in its first stages and needs more efforts and support from firms, suppliers and customers.


2020 ◽  
Vol 12 (3) ◽  
pp. 1101 ◽  
Author(s):  
Md. Rabbi ◽  
Syed Mithun Ali ◽  
Golam Kabir ◽  
Zuhayer Mahtab ◽  
Sanjoy Kumar Paul

Green supply chain management (GSCM) has emerged as an important issue to lessen the impact of supply chain activities on the natural environment, as well as reduce waste and achieve sustainable growth of a company. To understand the effectiveness of GSCM, performance measurement of GSCM is a must. Monitoring and predicting green supply chain performance can result in improved decision-making capability for managers and decision-makers to achieve sustainable competitive advantage. This paper identifies and analyzes various green supply chain performance measures and indicators. A probabilistic model is proposed based on a Bayesian belief network (BBN) for predicting green supply chain performance. Eleven green supply chain performance indicators and two green supply chain performance measures are identified through an extensive literature review. Using a real-world case study of a manufacturing industry, the methodology of this model is illustrated. Sensitivity analysis is also performed to examine the relative sensitivity of green supply chain performance to each of the performance indicators. The outcome of this research is expected to help managers and practitioners of GSCM improve their decision-making capability, which ultimately results in improved overall organizational performance.


Symmetry ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1346 ◽  
Author(s):  
Yuanyuan Zhou ◽  
Li Xu ◽  
Ghulam Muhammad Shaikh

Nowadays, green supply chain management (SCM) practices are increasing among firms to adopt green practices and reduce the negative effects of supply chain operations on the environment. Firms such as manufacturing, mining, and agriculture have to improve their capacity in green SCM practices because environmental regulations force them to consider these issues. However, green practices are new and require comprehensive study to determine this problem. This study has taken the case of three garment manufacturing firms for the evaluation of green SCM practices in the context of Pakistan. The green SCM requires multi-dimensional techniques; therefore, fuzzy-based multi-criteria decision analysis approaches must be adopted while assessing green SCM practices of firms. This is because fuzzy-based methods obtain a significant solution for complex, vague, and uncertain multi-attribute problems in fuzzy environment. Therefore, in this study, a hybrid decision model comprised of Delphi, and Fuzzy Analytical Hierarchy Process (AHP) methodologies is proposed for assessing the green SCM practices of firms in terms of green design, green purchasing, green production, green warehousing, green logistics, and reverse logistics. The Fuzzy AHP method results reveal that “green purchasing,” “green design,” and “green production” are ranked the most important green indicators. Further, results reveal the ranking of manufacturing firms (alternatives) in the context of green SCM practices. This study shall help industries to focus on green SCM practices and adopt the green manufacturing process.


2020 ◽  
Vol 12 (21) ◽  
pp. 9090
Author(s):  
Jungeun Lee ◽  
Hye-Young Joo

The purpose of this study is to determine whether the support of top management significantly improves the level of environmental collaboration with participating companies upstream and downstream of the green supply chain and the impact on environmental performance. The results of the empirical analysis of 301 companies that are establishing a green supply chain are as follows. First, top management’s support positively affects the level of collaboration with suppliers and customers in the green supply chain. Secondly, support from top management has a direct impact on the company’s environmental performance. Thirdly, the environmental collaboration of participating companies partially plays a mediation role between the support of top management and the environmental performance. This study has significance in that it analyzes the theoretical mechanism of top management’s support for environmental collaboration with participating companies, leading to environmental performance, and draws implications.


2021 ◽  
Vol 11 (4) ◽  
pp. 1946
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Tham Thi Tran

Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.


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