Environmental issues have tremendous impact on the development and operations of a supply chain. However, green supply chain management is an emerging research area, thus there are limited conceptual ...models on this important subject, particularly models that considers the effect of environmental directives on greening a supply chain. Considering the significance of this on the performance of a supply chain, this research develops a conceptual model outlining the antecedents for a successful embeddedness of environmental directives – Waste Electrical and Electronic Equipment (WEEE) and Restriction of the use of certain Hazardous Substances (RoHS) – on greening a supply chain. The conceptual model is theorized from systems thinking and systems theory; and grounded from an extensive current literature. It is validated using in-depth multiple cases of a supply chain of the Taiwan IT industry. Results show a close map on how the supply chain embeds directives WEEE and RoHS considering the antecedents in the conceptual model and the degree of its impact on the supply chain. It has emerged that directives WEEE and RoHS have the dynamics of a cross-tier ripple and indirect effects on the Taiwan IT industry's supply chain. This emerging theory explains why collaboration with supply chain partners is the key antecedent on greening a supply chain in order to gain co-benefits. The cross-tier ripple and indirect effects theorized from this study and the refined model provide a theoretical framework for further testing in this emerging research area.
The purpose of this study is to identify and analyze the metrics that have been published in the literature on green supply chain management (GSCM) and sustainable supply chain management (SSCM). The ...metrics were identified based on a structured content analysis of 445 articles published up to the end of 2012. A total of 2555 unique metrics were identified. The majority of the metrics were used only once, which indicates a lack of agreement on how performance should be measured in these areas. Five metrics were used more than 20 times: quality (31 times), air emissions (28), greenhouse gas emissions (24), energy use (24), and energy consumption (21). As highlighted in that list, multiple metrics were used to measure similar issues in many cases. For example, a detailed analysis showed that 76 different metrics were identified for issues focusing on water. As a part of the analysis conducted, each metric was classified according to 13 key characteristics of SSCM drawn from the literature. The analysis showed that environmental issues were represented to the greatest extent. Over one-third of the identified metrics were classified as cross-cutting metrics, meaning that they addressed more than one key characteristic of SSCM. Based on the analysis conducted, an original conceptual framework for structuring the development of metrics in GSCM and SSCM is presented. This paper presents one of the first in-depth investigations of the use of metrics in GSCM and SSCM. It is anticipated that the analysis and framework will provide a strong basis for future academic and practitioner work.
This study contributes to the literature by assessing data-driven sustainable supply chain management performance in a hierarchical structure under uncertainties. Sustainable supply chain management ...has played a significant role in the general discussion of business management. While many attributes have been addressed in prior studies, there remains no convincing evidence that big data analytics improve the decision-making process regarding sustainable supply chain management performance. This study proposes applying exploratory factor analysis to scrutinize the validity and reliability of the proposed measures and uses qualitative information, quantitative data and social media applied fuzzy synthetic method-decision making trial and evaluation laboratory methods to identify the driving and dependence factors of data-driven sustainable supply chain management performance. The results show that social development has the most significant effect. The results also indicate that long-term relationships, a lack of sustainable knowledge or technology, reverse logistic, product recovery techniques, logistical integration, and joint development are the most effective criteria for enhancing sustainable supply chain management performance. The theoretical and managerial implications are discussed.
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•This study contributes to assess data-driven sustainable supply chain management.•This study integrates the qualitative, quantitative data and social media together.•This study applied fuzzy synthetic method-decision making trial and evaluation laboratory.•The results show social development is the cause aspect to improve the performance.
Supply chains are critical driving forces behind business competitive advantages, hence their sustainability measurement and management is vital. Determining the sustainability performance of supply ...chains is challenging. It requires appropriate tools for capturing and analyzing data for every supply chain activity and for each sustainability aspect. This study analyzes measurement approaches that are used to assess sustainability performance of supply chains. Using Content, Context and Process framework, we have studied 104 peer-reviewed articles, published in the literature on sustainable supply chain management (SSCM) and green supply chain management (GSCM). The results show that various measurement approaches are used to assess sustainability in different sectors and supply chain echelons. The application of multi-criteria decision-making methods is increasing and several promising measurement frameworks have been proposed. The most used approaches include Life Cycle Assessment, Analytical Hierarchy Process, Fuzzy set approach, Balance Scorecard, and Data envelopment analysis. Additionally, this study proposes a novel conceptual framework and provides a concise guideline for assessing sustainability of supply chains. Key challenges that need to be solved by future measurement approaches include sustainability data collection and sharing, metrics standardization, and collaboration among supply chain members per se and stakeholders. This study creates better comprehension of how existing approaches evaluate sustainability of supply chains and provides new insights into sustainability performance measurement approaches, supply chain configuration, and metrics selection.
•This study content analyzes 104 peer-reviewed studies that examine sustainability performance of supply chains.•Results indicate that literature is fragmented and pan supply chain sustainability measurement methods are missing.•Existing measurement approaches only partially assess sustainability performance in various sectors and supply chain echelons.•A novel conceptual framework and a guideline for evaluating sustainability of supply chains are proposed.•The framework serves as a design structure for the development of supply chain sustainability performance measurement system.
•Effectiveness of green practices in building sustainability performance among firms.•Two-staged analysis revealed that some green practices are significant predictors.•Interestingly, cooperation ...with customers is a significant but negative predictor.•New knowledge is synthesized where sensible justifications are provided.
This study aims to critically evaluate whether the implementation of selected green supply chain management (GSCM) practices will drive and empower sustainability among ISO14001-certified manufacturing firms in Malaysia. Besides this, the significance and strength of the relationships between GSCM practices and sustainability performance were also investigated and subsequently ranked using a two-stage PLS–ANN approach. Primary data was collected from 178 large ISO14001-certified Malaysian manufacturers through self-administered survey questionnaires. PLS–SEM using SmartPLS 3.0 and artificial neural network analysis (ANN) served as statistical analysis tools. This study draws out the prominence of GSCM practices as strategies to achieve sustainability performance. However, the relationship between supplier selection and supplier evaluation with sustainability performance is surprisingly insignificant. Furthermore, cooperation with customers is found to be significantly but negatively related to sustainability performance. Nevertheless, this contributes new knowledge to the literature with sensible justifications being offered accordingly.
•A framework for supply chain social sustainability in manufacturing is proposed.•A sample of 38 experts is used to evaluate and prioritize the social criteria.•Best worst method (BWM) is used to ...evaluate the social sustainability criteria.•‘Contractual stakeholders influence’ is the most important social criterion.
A truly sustainable organization needs to take the economic, environmental and social dimensions of sustainability into account. Although the economic and environmental dimensions of sustainability have been examined by many scholars and practitioners, thus far, the social dimension has been received less attention in literature and in practice, in particular in developing countries. Social sustainability enables other sustainability initiatives and overlooking this dimension can have a serious adverse impact across supply chains. To address this issue, this study proposes a framework for investigating the social sustainability of supply chains in manufacturing companies. To show the applicability and efficiency of the proposed framework, a sample of 38 experts was used to evaluate and prioritize social sustainability criteria, using a multi-criteria decision-making method called the ‘best worst method’ (BWM). The criteria are ranked according to their average weight obtained through BWM. The respondents view ‘contractual stakeholders influence’ as the most important social sustainability criterion. The results of this study help industry managers, decision-makers and practitioners decide where to focus their attention during the implementation stage, to increase social sustainability in their organizational supply chain and move towards sustainable development.
•A state-of-the-art research on Big Data in SCM is reviewed.•A discussion from analyzing current movements on the Big Data for SCM in service and manufacturing world-wide is presented.•Current ...challenges, opportunities, and future perspectives Big Data are highlighted.
Data from service and manufacturing sectors is increasing sharply and lifts up a growing enthusiasm for the notion of Big Data. This paper investigates representative Big Data applications from typical services like finance & economics, healthcare, Supply Chain Management (SCM), and manufacturing sector. Current technologies from key aspects of storage technology, data processing technology, data visualization technique, Big Data analytics, as well as models and algorithms are reviewed. This paper then provides a discussion from analyzing current movements on the Big Data for SCM in service and manufacturing world-wide including North America, Europe, and Asia Pacific region. Current challenges, opportunities, and future perspectives such as data collection methods, data transmission, data storage, processing technologies for Big Data, Big Data-enabled decision-making models, as well as Big Data interpretation and application are highlighted. Observations and insights from this paper could be referred by academia and practitioners when implementing Big Data analytics in the service and manufacturing sectors.
Green supply chain management (GSCM) has gained increasing attention within both academia and industry. As the literature grows, finding new directions by critically evaluating the research and ...identifying future directions becomes important in advancing knowledge for the field. Using organizational theories to help categorize the literature provides opportunities to address both the objectives of understanding where the field currently stands and identifying research opportunities and directions. After providing a background discussion on GSCM, we categorize and review recent GSCM literature under nine broad organizational theories, with a special emphasis on investigation of adoption, diffusion and outcomes of GSCM practices. Within this review framework, we also identify GSCM research questions that are worthy of investigation. Additional organizational theories which are considered valuable for future GSCM research are also identified with a conclusion for this review.
Circular economy is increasingly recognized as a better alternative to the dominant linear (take, make, and dispose) economic model. Circular Supply Chain Management (CSCM), which integrates the ...philosophy of the circular economy into supply chain management, offers a new and compelling perspective to the supply chain sustainability domain. Consequently, there is increasing research interest. However, a review of the extant literature shows that a comprehensive integrated view of CSCM is still absent in the extant literature. This prohibits a clear distinction compared to other supply chain sustainability concepts and hinders further progress of the field. In response, this research first classifies various terminologies related to supply chain sustainability and conceptualizes a unifying definition of CSCM. Using this definition as a base, it then conducts a structured literature review of 261 research articles on the current state of CSCM research. Based on the review results, the researchers call for further studies in the following directions that are important but received little or no attention: design for circularity, procurement and CSCM, biodegradable packaging, circular supply chain collaboration and coordination, drivers and barriers of CSCM, circular consumption, product liabilities and producer's responsibility, and technologies and CSCM.
Reverse Logistics and Closed Loop Supply Chain Management (RL&CLSCM) are universally recognised as two environmentally friendly practices that could help in greening conventional supply chains. The ...popularity of these fields of research has led to the evolution of a vast number of publications in the literature. Various journals have so far contributed to the advancement of the field, with the International Journal of Production of Research (IJPR) being one of the most prominent contributed journals. To celebrate the 55th volume anniversary of IJPR, this review study aims to investigate the studies in the area of RL&CLSCM published in IJPR. The paper presents a thorough bibliometric and content analysis of 94 studies that were published in IJPR from 2000 until July 2017. The studies initially underwent a rigorous bibliometric and mapping analysis that helped to identify their characteristics. Subsequently, the contents of the sample papers were evaluated thoroughly. The content analysis led to classification of the papers into two main categories and sub-categories, and then to rigorous identification of the papers' attributes. The bibliometric and content analysis disclosed several research gaps that remain to be addressed in IJPR.
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