Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research

PurposeThe purpose of this paper is to give an up-to-date and structured insight into the literature published during the past decade on sustainable green supply chain management. It also suggests trends for future research based on the research issues identified through systematic and comprehensive analysis of previous studies in the area of green and sustainable supply chain management.Design/methodology/approachA state-of-the-art literature review is carried out by systematically collecting the existing literature over a period of 10 years (2005-2014) and categorizing it on the basis of attributes such as stages in supply chain, methodology and the industries/sectors under consideration. The classification of literature is also done according to the geographic region and year of publication.FindingsThere has been an increased interest among researchers and practitioners in the area of sustainable green supply chain management in the past decade. A need for achieving sustainability through adoption of greener practices has been universally felt, owing to an increasing environmental and ecological complexity. The review reveals that there exists a need to address behavioural issues like human resource management and supply chain partner relationship management. Moreover, reverse logistics, closed-loop supply chain management and waste management are areas that need special focus to achieve environmental sustainability.Research limitations/implicationsThe current review focuses on research trends in the past 10 years only. Moreover, papers from only good quality, peer-reviewed journals are considered in the study.Originality/valueMost of the previous reviews have either focused on specific issues related to sustainable supply chains only or green supply chains. The present study collectively takes into consideration papers both from green supply chain management as well as from sustainable supply chain literature that have a prime focus on environmental sustainability.

In recent years, environmental sustainability has stimulated enterprises worldwide to not only develop green and sustainable innovations but also to move toward green and sustainable supply chain management. This study integrated the ideas of green supply chain management (GSCM) and sustainable supply chain management (SSCM) to define sustainable green supply chain management (SGSCM). Previous studies on GSCM/SSCM have contributed to research and practice, but few have explored the antecedents and consequences of GSCM/SSCM simultaneously. To address this research gap, we linked ecological modernization (EM) theory with SGSCM and sustainability performance to build a comprehensive research model. A total of 300 valid questionnaires were collected from electrical and electronics firms in Taiwan. The empirical results demonstrated that awareness of and pressure to engage in EM significantly positively affected SGSCM. Moreover, SGSCM significantly positively influenced sustainability performance (i.e. environmental, economic, and social performance). These findings should convince enterprises to actively promote SGSCM.

The objective of this literature review is to identify the similarities and differences between the green supply chain management (GSCM) and sustainable supply chain management (SSCM) definitions and factors in the literature. In order to analyze the identifying definitions, two different groups of factors for sustainable development (i.e., environmental, economic, social factors) and Supply chain management (i.e., flow, stakeholder, relationship, value, coordination factors) were proposed. The presentation of these factors in the recognized definitions will be analyses and compare. The comparative analysis illustrates the similarities and differences between the two concepts. Therefore, definitions of GSCM focus on environmental, flow and stakeholder factors. However, the definitions of SSCM represent a focus on environmental, economic, social, flow and stakeholder factors. In the result, GSCM is the environmental dimension of SSCM, the flow and the stakeholder factors are common factors between the two approaches. SSCM is, thus, an extension of GSCM. The definitions presented addressed the entirety of the sustainable development and SCM factors that were proposed.

Sustainable Green Supply Chain and Logistics Management are crucial to reap environmental and economic wins in today’s complex and competitive global business environment. However, conventional optimization planning techniques can prove inadequate for green supply chain networks. This study proposes a sustainable green supply chain and logistics network that adopts a novel Adaptive Fuzzy Particle Swarm Optimization (AFPSO) method. This study presents a multi-objective mathematical model in combination with Mixed-Integer Linear Programming (MILP) and Multi-Adjacent Descent Traversal Algorithm (MADTA). AFPSO approach bases particle swarm optimization on fuzzy logic to improve efficiency in various conditions. Performance is assessed using parameters such as energy consumption, implementation cost, error values, and enabler applications. Performance assessment is carried out through MATLAB simulations, where the proposed AFPSO-MADTA is compared against Back-Propagation Neural Network (BPNN), the Traditional Particle Swarm Optimization Back-Propagation Neural Network (Traditional PSO-BPNN), and Improved Particle Swarm Optimization Back-Propagation Neural Network (IPSO-BPNN) methods. The results demonstrate that the proposed AFPSO-MADTA approach demonstrates greater energy efficiency, lower costs, higher accuracy, and better sustainability enabler stabilization than traditional optimization methodologies. These findings show the value of AFPSO-MADTA in achieving sustainable supply chain and logistics management. • A new AFPSO-MADTA framework was proposed to sustain green supply chains and logistics. • Implementing Fuzzy logic with Particle Swarm Optimization brought flexibility and better performance in the model. • The framework thus aids in boosting energy efficiency, costs, and sustainability of supply chain networks. • AFPSO-MADTA is better in decreasing the implementation cost and sustain the enablers than traditional approaches. • It presents a strong base for additional research in green logistics and supply chain management.

Today, one of the top priorities of an organization’s modern corporate strategy is to portray itself as socially responsible and environmentally sustainable. As a focal point of sustainability initiatives, green supply chain management has emerged as a key strategy that can provide competitive advantages with significant parallel gains for company profitability. In designing a green supply chain, the intent is the adoption of comprehensive and cross-business sustainability principles, from the product conception stage to the end-of-life stage. In this context, green initiatives relate to tangible and intangible corporate benefits. Sustainability reports from numerous companies reveal that greening their supply chains has helped reduce operating cost, thus boosting effectiveness and efficiency while increasing sustainability of the business. Green Supply Chain Management provides a strategic overview of sustainable supply chain management, shedding light on the theoretical background and key principles of the topic. Specifically, this book covers various thematic areas including benefits and impact of green supply chain management; enablers and barriers on supply chain operations; inbound and outbound logistics considerations; and production, packaging and reverse logistics under the notion of greening. The ultimate aim of this textbook is to highlight the challenges in the implementation of green supply chain management in modern companies and to provide a roadmap for decision-making in real-life cases. Combining chapter summaries and discussion questions, this book provides an accessible and student-friendly introduction to green supply change management and will be of great interest to students, scholars and practitioners in the fields of sustainable business and supply chain management.

A comparative literature analysis of definitions for green and sustainable supply chain management

In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives.
 Keywords: green supply chain management, multi-objective modelling, network optimization.

Abstract
 
 In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives.
 Keywords: green supply chain management, multi-objective modelling, network optimization.

In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives. Keywords: Green supply chain management, multi-objective modelling, network optimization;

Context: The environmental and social dimensions of performance are of great importance, given that they must be incorporated into strategic, tactical, and operational objectives in companies and supply chains to minimize negative impacts on the environment and society. Method: After reviewing the Scopus, Web of Science, and ScienceDirect databases for the topics of sustainability and supply chain management, a state of the art of green and sustainable supply chain management is presented, aiming to guide readers towards a synthesis of related concepts and future lines of research. Results: The reader is introduced to concepts and trends around the field of green and sustainable supply chain management to raise interest in new research and practices to guide the implementation of sustainability in organizations and their supply chains. Conclusions: Sustainable supply chain management still faces several academic and practical challenges in terms of implementation, performance measurement, and how models can capture a dynamic and uncertain social and environmental context. There are latent research issues such as management of the circular supply chain, applications in emerging economies, or the application of 4.0 technologies.

Over the years, the global supply chain has evolved into a more extensive interconnected complex network with multiple suppliers, manufacturers, and customers. Since environmental issues have become a burning question in recent years, the focus has shifted to attaining sustainability in supply chain management. The green supply chain or sustainable network is a concept to reduce environmental impacts in the life cycle of a product. However, green supply chain management is often challenged with additional operating costs and difficulty monitoring the implications within the complex network system. Additionally, many stakeholders are unaware of the importance of sustainability analysis, which eventually complicates adopting green cultures in actual applications. Since green supply chain management deals with multiple aspects, such as cost and carbon emission, the multiobjective optimization method is widely used to evaluate supply chain performance. This paper intensively reviews the state-of-the-art literature on applying multiobjective optimization techniques in green supply chain management. The study highlights aspects of green supply chain structures, model formulation techniques considering multiple objectives simultaneously, and solution methods for multiobjective optimization problems. Finally, a conclusion is drawn with the scope of the potential research opportunities for integrating economic and environmental considerations in sustainable supply chain management practice.

An analysis of metrics used to measure performance in green and sustainable supply chains

Energy-related performance measures employed in sustainable supply chains: A bibliometric analysis

Purpose: This study aims to empirically test and analyze the role of Green Human Resource Management (GHRM) and Green Supply Chain Management (GSCM) and Green Lifestyle on business sustainability mediated by digital skills.Design/Methodology: This study involved logistics managers at manufacturing companies in DKI Jakarta and West Java, Indonesia. It is because these two provinces have the largest manufacturing companies in Indonesia. From a late survey, the researchers obtained data from 250 questionnaires that were distributed. Then from all the data, there were 218 data that could be processed for further analysis. This study utilized the Structural Equation Model (SEM) analysis technique with AMOS 24 software in the data testing process.Findings: This study has confirmed a number of findings including: With the current COVID-19 Pandemic, Green Human Resources Management (GRHM) and Green Supply Chain Management (GSCM) are needed in Business Sustainability. GSCM has a positive effect on Business Sustainability (BS). Indonesia is also facing a revolution of 4.0 and 5.0, and Green Human Resources Management (GHRM) practice has an influence on BS and is deemed having significant and positive effect. In addition, manufacturing companies support the practice of green environment so that Green Supply Chain Management (GSCM) practice needs Digital Skill (DS) in enhancing its performance. Also, it has been proven in this research that GSCM has positive and significant effect. Digital Skill (DS), however, has no direct effect on Business Sustainability (BS).Research Limitation/Implications: This study focuses on the scope of green human resource management, green supply chain management, and green lifestyle and their impact on business sustainability mediated by digital skills. The next study is expected to examine the concept of green human resource management in service companies in order to obtain unique findings and confirm the relevance of the green human resource management concept in various business phenomena.Originality/value: This study explains the concept of Green Human Resource Management (GHRM), Green Supply Chain Management (GSCM) and Green Lifestyle (GL) towards Business Sustainability (BS) which is a different concept from the concept of Human Resource Management (HRM) implemented in manufacturing companies. In addition, this study discusses the green supply chain in its influence on business sustainability. Also, this study explains the role of the concept of Digital Skills (DS) in influencing Business Sustainability (BS).Practical and Social Implication: This study is expected to be a reference for practitioners, especially in the fields of Green Human Resource Management (GHRM), Green Lifestyle (GL), and Green Supply Chain Management (GSCM) in improving Business Sustainability (BS). Furthermore, the concept of green human resource management can be used by organizations as an effective alternative to increase responsibility in increasing business sustainability. Digital skills have a very significant role in implementing the research model.

Sustainable (green) supply chain management has emerged as a proactive approach for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. Study empirically investigates the construct of and the scale for evaluating sustainable supply chain management (SSCM) practices implementation among manufacturers. With data collected from Indian small and medium sized enterprises, measurement models of vendor and customer participation and implementation were tested and compared by ‘mean score’, ‘t’-test and ‘p’-test. The assessments presented are based on parts of the data and information collected through the execution of the competitive strategies and best practices benchmarking questionnaire from 60 small and 59 medium size enterprises. Study focuses on present scenario of participation of vendor and customer for sustainable supply chain practices of small and medium sized enterprises in India.