Drivers Of Green Supply Chain Management Research Articles

Barriers and Drivers to Green Supply Chain Management Practices: Evidence from Manufacturing and Agricultural Sectors of Sri Lanka

Green Supply Chain Management (GSCM) is one of the newest trends in Supply Chain Management’s (SCM) evolution. The objectives of this study are to (i) evaluate the internal and external barriers and drivers of GSCM, and (ii) make timely recommendations to implement GSCMP in manufacturing and agricultural sectors in Sri Lanka. An online questionnaire survey was conducted to examine these barriers, drivers, and recommendations for improving the GSCMP. Thirty experts have participated in the survey and the data were evaluated by descriptive statistics. The findings reveal that lack of knowledge and experience, and a lack of green professionals was the main internal and external barriers respectively. Also, top management support and green procurements were the main internal driver and external driver respectively. The findings of this study will assist the manufacturing and agricultural sectors in Sri Lanka to move on to sustainability.

Drivers of green supply chain management: a close-up study.

Green supply chain management (GSCM) is an important part of most production organisations in developed countries. Meanwhile, developing countries are yet to fully embrace the concept. This study, therefore, investigated the drivers of GSCM using a close-up approach in a leading manufacturing organisation in Nigeria with sustainability initiatives. One hundred and fifty-four questionnaires retrieved from the supply chain management team of the organisation were subjected to descriptive and inferential statistics such as mean score, standard deviation, and factor analysis. Based on the results of the analyses, the drivers of GSCM in the organisation could be grouped as government-related, organisational-related, and societal-related drivers. The study concluded that synergy of the government, organisations, non-government organisations, and individual is important for achieving green supply chain practices in developing countries. It was recommended that training at all levels is essential to improve the awareness and importance of sustainable production to the environment.

Examining green capabilities as drivers of green supply chain management adoption

PurposeWhile there is a growing pool of literature on the drivers of adoption of green supply chain management (GSCM) practices, the literature has not properly explored the role of green capabilities as drivers of GSCM adoption. This study aims to examine four green capabilities (green supplier development, green marketing, green manufacturing and packaging and environmental participation) as the drivers of GSCM adoption.Design/methodology/approachThe study develops and empirically tests a research model which explores the effect of green capabilities on GSCM adoption. A survey of 200 manufacturing and extractive firms operating in Ghana was conducted, with 94 usable responses obtained. The research model was analyzed by using partial least squares structural equation modeling.FindingsThe results revealed that green supplier development capabilities and environmental participation capabilities had positive and significant effects on GSCM adoption. Green marketing capabilities had a positive but weak effect on GSCM adoption. Green manufacturing and packaging capabilities, however, did not significantly impact GSCM adoption.Originality/valueTo the best of the researchers’ knowledge, this is the first study that empirically examines green capabilities as drivers of GSCM adoption.

Green supply chain management in the chemical industry: structural framework of drivers

ABSTRACTThe main purpose of Green Supply Chain Management (GSCM) is to improve the quality of supply chain management strategies and environmental performance. As per current statistics, the chemical industry is growing fast in Bangladesh. In order to compete for global competition, GSCM is essential in this sector. This paper proposes a systematic approach of structural framework whose aim is to enhance the probability of constructive implementation of GSCM in the field chemical industry in Bangladesh. Therefore, this framework evaluates the appropriate interrelationship along with the drivers of GSCM in the chemical industry. In total, eight drivers were finalized from an associated literature review with the help of survey and by taking expert opinions via the Delphi methodology. In addition to MICMAC analysis, the driving and the dependence powers for all the drivers were determined. Moreover, the structural frameworks for the drivers were developed by means of total interpretive structural modeling (TISM) technique. As a result, the findings indicate that the most significant driver was supplier pressure and willingness and the most important barrier was high cost. Finally, the main objective of this research is expected to help industrial managers to evaluate and understand the critical areas where they should emphasize to implement GSCM in the chemical industry.

ISM approach for modelling drivers to practices of green supply chain management in Jordanian industrial firms

This research utilises interpretive structural modelling (ISM) methodology to model the relationships between eight key drivers of Green supply chain management (GSCM) in Jordanian industrial firms. Data were collected from 30 experts. Structural self-interaction matrix is developed and then adopted to construct the reachability matrices. The results revealed that 'government regulations and legislations' pressure is the motivator driver of 'stakeholder pressure', 'global competition', 'financial factors', and 'awareness level of customers'. In conclusion, pressures from government, customers, and management drive the adoption of GSCM practices in Jordanian industrial firms. Moreover, management commitment is crucial in providing sufficient resources to accomplish successful adoption of GSCM practices. Finally, the ISM model developed in this research shall provide valuable guidance to decision makers in government, as well as management of industrial firms on the key drivers of GSCM that need more attention during planning, implementation and evaluation during the downstream and upstream of product life.

Prioritizing the Drivers of Green Supply Chain Management in Indian Manufacturing Industries Using Fuzzy TOPSIS Method: Government, Industry, Environment, and Public Perspectives

Environmental sustainability has become a major concern in the present era. The pressure of sustainable development is not only exerted by the government but also by the customer. Awareness among the society and strict government regulations force the industries to reduce environmental impact from their supply chain. Hence, green supply chain management (GSCM) has become an imperative industrial philosophy to avoid environmental hazards. There are motivational forces which are responsible for the implementation of GSCM practices. These motivational forces are termed as drivers. The objective of this paper is to prioritize the drivers of GSCM in Indian manufacturing industries based on government, industry, environment, and public perspectives using fuzzy TOPSIS methodology. An empirical study is made by collecting the data from a group of 12 decision-makers (DMs), three from each perspective. Sensitivity analysis is performed to check the effect of preferences given by each DM. The results show that the regulations forced by the central government play the most significant role followed by regional/state government legislation. The results obtained help firms in identifying the important drivers to implement GSCM practices in Indian manufacturing industries based on different perspectives. It will also help the policymakers to identify important drivers of GSCM in Indian manufacturing industries and will support in implementing GSCM practices.

Role of green policy on sustainable supply chain management

Purpose– Green supply chain management (GSCM) has become the driver of sustainable strategy. This topic has been gaining increasing attention within both academia and industry for making the industry competitive. With the ever increasing demand for reducing carbon foot prints and greenhouse gas emission, there is a need to study the various parameters and drivers of sustainable development, especially in supply chain management. The need for developing the sustainable model including the drivers of sustainability needs to be designed. The paper aims to discuss these issues.Design/methodology/approach– Using resource-based theory and value chain analysis; the authors have developed a model for sustainable strategy. The data were collected and analyzed to find the key drivers of sustainability. The data were analyzed with the help of regression and correlation analysis.Findings– After providing a background discussion on GSCM, the authors categorize and review recent GSCM literature under three broad categories, with a special emphasis on investigation of adoption, diffusion, and outcomes of GSCM practices. Within this review framework, the authors also identified GSCM research questions that are worthy of investigation. The study suggests that the main drivers of GSCM include the environmental policy and the green human resource management by providing them training for adopting sustainability practices. Besides this, another key driver is the sustainability criteria in supplier selection which was found to be enhancing the outcomes of sustainability.Research limitations/implications– The model suggests that we need to have management support for implementing the sustainability strategy in the organization.Practical implications– The study guides the managers for implementing sustainable supply chain management practices in the organization.Social implications– The model including the environment policy (adoption), green human resource management (diffusion), green technology (diffusion), and GSCM.Originality/value– Additional organizational theories which are considered valuable for future GSCM research are also identified with a conclusion for this review.

Investigation of the influential strength of factors on adoption of green supply chain management practices: An Indian mining scenario

Rapid industrial development that leads to economic growth and massive employment generation needs intense support from mining industries which act as a downstream supply chain partner for an industry. The counter side of intensive and unregulated mining activities is the massive waste generation and environmental degradation. Waste produced by mining industries is acquired by their upstream supply chain partners. So, there is a growing pressure on mining companies to enhance their ecological performance. In this regard, green supply chain management (GSCM), emerged as an environmental strategy that not only improves the environmental performance of individual organizations, but also that of the entire supply chain which has also been accepted by industries. However, an exception is observed in the case of the mining industries in India. This can be attributed to the poor understanding of the involved factors. Hence, an attempt is made here to identify the drivers of GSCM and extract the causal relationship among them through the use of decision making trial and evaluation laboratory (DEMATEL). Further, the strength of influence of these drivers on each other as also on the entire system is investigated to prioritize the drivers according to their influential strength. The results of the study, explore ‘top management commitment’ and ‘competitiveness’ as the two most important drivers whereas ‘employee pressure’ is the least important driver.

Sustainable supply chain management through enterprise resource planning (ERP): a model of sustainable computing

Green supply chain management (GSCM) is a driver of sustainable strategy. This topic is becoming increasingly important for both academia and industry. With the increasing demand for reducing carbon foot prints, there is a need to study the drivers of sustainable development. There is also need for developing the sustainability model. Using resource based theory (RBT) the present model for sustainable strategy has been developed. On the basis of data collected, the key drivers of sustainability were developed. We used regression and correlation analysis for developing the final model. The study findings suggest that the drivers of GSCM are the environmental policy and the green human resource management (GHRM). This can be done by providing training for adopting sustainability practices. Besides this, another key driver is the sustainability criteria in supplier selection which was found to be enhancing the outcomes of sustainability. The model has practical and theoretical value as it proposes that management support for implementing the sustainability strategy in the organization is essential. The study also guides the managers for implementing sustainable supply chain management practices in the organization.

Analyzing the key factors affecting the green supply chain management: A case study of steel industry

Article history: Received April 1, 2011 Received in Revised form May, 15, 2011 Accepted 17 May 2011 Available online 19 May 2011 Green supply chain management (GSCM) has emerged as a proactive approach for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. The aim of this paper is to determine and model the drivers of GSCM to put environmental activities into practice. Thirty-four measurement items are developed on the basis of opinions from industrial experts and the literature and the necessary data are collected. To validate the measurement scales for GSCM, we perform a factor analysis. The results show that a six-factor measurement model (including internal environmental management, green purchasing, cleaner production, recovery, eco-design and pollution) fits the data acceptably. All of the measurement items significantly loaded on the constructs on which they were hypothesized to load. These results gave us confidence that the measures are indeed valid and reliable. © 2011 Growing Science Ltd. All rights reserved.