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This study aims to examine the relationship between green supply chain management (Green SCM) practices and environmental performance, and develop an integrated model to explain the mediating role of ecocentricity on the relationship between Green SCM practices and environmental performance in the context of the Ghanaian downstream petroleum industry.

To address the objectives of the study, a survey had been conducted among companies in the Ghanaian downstream value chain. The paper used the structural equation modeling approach and smart partial least squares (Smart-PLS) analytical tool.

The study revealed that Green SCM practices had a significant and positive relationship with supply chain ecocentricity and environmental performance. The study further revealed that supply chain ecocentricity significantly mediated the relationship between Green SCM practices and environmental performance.

The study has developed a new integrated model to enhance oil and gas marketing and distribution company's adaptation and implementation of Green SCM practices.

The study had successfully applied the natural resource-based view and the stakeholder theory in the context of Ghana's downstream petroleum industry. Specifically, these theories had been integrated to form a new model to explain the relationship between Green SCM practices, supply chain ecocentricity and environmental performance in the context of Ghana's downstream petroleum industry. The newly developed integrated model has wider predictability as compared to the individual theories.

Sustainable supply chain management has become an increasingly important driver of business performance. Understanding the contingent nature of how performance is improved in this context is therefore a critical task for management. The purpose of this paper is to explore the moderating effects of two practices unique to sustainable supply chain – ecocentricity and supply chain traceability – on a firm’s environmental and operating cost performance.

Survey data were collected from 248 UK manufacturing firms and analyzed using moderated hierarchical regression.

The results suggest that green supply chain management (GSCM) practices are associated with improvements in both environmental and cost-based performance. Further, higher levels of ecocentricity and supply chain traceability are associated with stronger relationships between GSCM practices and cost performance. Contrary to expectations, high levels of supply chain traceability were found to negatively moderate the relationship between GSCM practices and environmental performance.

The research design was survey-based and cross-sectional. Future studies would benefit from longitudinal research designs that capture the effects of GSCM practices on performance over an extended period. The survey data is also perceptual; using secondary data to capture environmental performance outcomes, for example, would be another opportunity for future research.

The authors provide additional support to findings that GSCM practices benefit both environmental and cost performance dimensions. In this context, the authors show that investments by firms in working with a broader set of eco-system partners (ecocentricity) and building supply chain traceability and leads to improved environmental sustainability outcomes. The authors encourage managers to carefully consider how they conceptualize and monitor their supply chains.

This paper offers several contributions to the research in this area. First, the authors develop and validate a measurement scale for ecocentricity and supply chain traceability. Second, the authors show how these two variables – unique to sustainable supply chains – can positively influence firm and environmental performance.

The priority giving to green practices in today's competitive market has made green logistics management practices (GLMPS) a significant driver of organizational performance. The purpose of this study is to explore the influence of GLMPS, logistics ecocentricity and supply chain traceability on sustainability performance.

The study uses structured questionnaires to gather data from 274 managers of manufacturing firms in Ghana. The partial least square structural equation modeling approach is used to analyze the data to test the proposed hypotheses.

The results obtained from the analysis indicate that GLMPS positively influence social sustainability and environmental sustainability. However, GLMPS negatively influence business performance. The results further reveal that logistics ecocentricity and supply chain traceability augment GLMPS to achieve significant improvement in both business performance and environmental sustainability through the mediation effect approach.

The study proposes a conceptual framework that tests the combined effect of GLMPs, logistics ecocentricity and supply chain traceability on environmental sustainability, social sustainability and business performance from the Ghanaian perspective.

Understanding the factors that advance green innovation is crucial for firms to deal with the complexity of green innovation. In light of this, this study aims to explore the influence of supply chain knowledge, non-supply chain learning and corporate reputation on green innovation.

This study uses a quantitative research approach where data is gathered from managers of 208 small and medium enterprises in Ghana using survey questionnaires. The structural equation modeling is used to analyze the survey data.

The findings reveal supply chain knowledge relates positively with non-supply chain learning, corporate reputation and green innovation. Corporate reputation also impacts green innovation positively and provides partial mediation effect between supply chain knowledge and green innovation. Meanwhile, non-supply chain learning does not relate positively with green innovation as well as fails to mediate the impact of supply chain knowledge on green innovation.

This study contributes to knowledge in the mediating mechanisms of corporate reputation and non-supply chain learning between supply chain knowledge and green innovation. Through this, the authors propose a theoretical model to explain how firms can leverage supply chain knowledge, corporate reputation and non-supply chain learning to improve green innovation and can serve as the basis for further theoretical and empirical research in innovation and external sources of knowledge.

The growing relevance of environmental sustainability calls for identification of factors that contribute to green innovation and build green corporate reputation. Drawing on the resource-based view theory, this study aims to explore the influence of green logistics knowledge, green customer knowledge, green supplier knowledge, green competitor knowledge, non-supply chain learning on green innovation and green corporate reputation.

This study adopts the quantitative research method where questionnaire is used to gather data from managers of the sampled 208 small and medium enterprises (SMEs). The structural equation modelling is used to analyse the survey data and test the proposed hypotheses.

The findings reveal that non-supply chain learning, green customer knowledge and green competitor knowledge have both direct and indirect impact on green innovation and green corporate reputation. However, green supplier knowledge and green logistics knowledge directly impact green innovation but indirectly impact green corporate reputation through green innovation.

Despite the growing literature exploring the relationship between learning, innovation and reputation, their literature in emerging economies remains underdeveloped. This study provides empirical evidence to confirm the role of non-supply chain learning and green supply chain knowledge in building green corporate reputation and developing green innovation of SMEs in an emerging economy.

Firms are increasingly pressured to comply with mandatory supply chain transparency (SCT) regulations. Drawing on information processing theory (IPT), this study aims to show how blockchain technology can address information uncertainty and equivocality in assuring regulatory compliance in an interorganizational network (ION).

IPT is applied in a single case study of an ION in the mining industry that aimed to implement blockchain to address mandatory SCT regulations. The authors build on a rich proprietary data set consisting of interviews and substantial secondary material from actors along the supply chain.

The case shows that blockchain creates equality between actors, enables compliance and enhances efficiency in an ION, reducing information uncertainty and equivocality arising from conflict minerals regulation. The system promotes engagement and data sharing between parties while protecting commercial sensitive information. The lack of central authority prevents larger partners from taking control. The system provides mineral provenance and a regulation-compliant record. System cost analysis shows that the system is efficient as it is inexpensive relative to volumes and values of metals transacted. Issues were identified related to collecting richer human rights data for assurance and compliance with due diligence regulations.

The authors provide some of the first evidence in the operations and supply chain management literature of the specific architecture, costs and limitations of using blockchain for SCT. Using an IPT lens in an ION setting, the authors demonstrate how blockchain-based systems can address two key IPT challenges: environmental uncertainty and equivocality.

Food sustainability is a world-acknowledged issue that requires urgent integrated solutions at multi-levels. This study aims to explore how food firms can improve their sustainability performance through digital traceability practices, considering the mediating effect of sustainability-oriented innovation (SOI) and the moderating effect of supply chain learning (SCL) for the food supply chain therein.

Hierarchical regression with a moderated mediation model is used to test the proposed hypotheses with a sample of 359 food firms from four provinces in China.

Digital traceability has a significant positive impact on the three pillars of sustainability performances among food firms. SOI (product innovation, process innovation and organisational innovation) mediates the relationship between digital traceability and sustainability performance. SCL plays moderating roles in the linkage between digital traceability and both product and process innovation, respectively.

This paper contributes as one of the first studies to develop digital traceability practices and their sustainability-related improvements for Chinese food firms; it extends studies on supply chain traceability to a typical emerging market. This finding can support food sustainability practice in terms of where and how to invest in sustainability innovation and how to improve economic, environmental and social performance.

The study explores manufacturers' supply chain social capital (SCSC) (structural social capital and relational social capital) and supply chain performance, respectively, as drivers and outcome of green supply chain management practices (GSCMPs). Additionally, the study explores the direct relationship between SCSC and supply chain performance of manufacturers.

The author develops and tests a research model grounded in the resource-based view and the natural resource-based view theory using survey data from 100 manufacturing firms operating in Ghana. The measurement model and hypothesized paths were examined using partial least squares structural equation modeling.

The findings revealed that relational social capital of manufacturers has a positive and significant relationship with supply chain performance, but structural social capital does not. Additionally, manufacturers' structural social capital and relational social capital were found to have a positive and significant relationship with GSCMPs. Lastly, GSCMPs were found to have a positive and significant relationship with supply chain performance.

The study contributes to the limited literature demonstrating the contribution of intangible relational assets, specifically SCSC, toward GSCMPs implementation.

The global food industry is faced with the dilemma of finding a balance between food wastage and food shortage. Approximately one-third of food produced globally goes to waste, while about 800 million people suffer from undernourishment. Given this context, the purpose of this study is to investigate the unresolved challenges related to enhancing transparency associated with products of high perishability and low shelf life.

The authors conducted 25 interviews with global agri-food supply chains (AFSCs) experts to ask what impedes the progress of the current technologies, such as blockchain, to enable transparency and traceability (T&T) in AFSCs.

The findings indicate barriers at the individual, firm and supply chain levels. Based on these barriers, the authors propose an interconnected framework to explain technologically-driven T&T and guide on barrier removal from AFSCs. The authors conclude that by applying technology (i.e. blockchain) the authors can resolve the tension of supporting T&T in AFSCs. This can enable the efficient and transparent tracking of goods, reduction of food waste and loss, as well as promotion of the use of recyclable packaging and further sustainable practices and materials, all of which are aligned with a range of UN Sustainable Development Goals (2, 8, 10 and 12). Moreover, the authors see that some factors are interrelated. Based on these factors, the authors build an interconnected framework to guide on barrier removal from AFSCs. Managers in AFSC would find the findings especially relevant.

Drawing on industrial network theory and signalling theory, the authors propose an interconnected framework for explaining barriers (challenges) and potential solutions (opportunities) to T&T in AFSCs. This framework is developed by examining the interconnections of barriers at micro, meso and macro levels and applying signalling theory to explain how solutions address these barriers. The specific contributions of this study are: the list of barriers that impede the implementation of technological solutions for T&T in AFSCs; and a three-stage framework that explains how to remove the barriers for T&T. The study is limited by the focus on blockchain, which calls for future research once the next decentralised technology becomes available.

Leveraging the benefits of supply chain digitalization is a big challenge for many firms. To address this issue, this study aims to use information processing theory to explore the mechanisms between supply chain digitalization and supply chain performance.

Based on survey data from 223 Chinese companies, the authors tested the moderated mediation model using the Process program in SPSS.

The empirical results reveal that supply chain traceability and supply chain agility partially mediate the supply chain digitalization–supply chain performance relationship. More interestingly, the above significant mediation effects show differences across industries. In particular, manufacturing firms rely more on supply chain traceability, whereas supply chain agility contributes more to service firms. Lastly, supply chain dynamism is a significant moderator that enhances the mediation effect of supply chain traceability in the supply chain digitalization–supply chain performance relationship.

This study offers new insights into the growing literature on supply chain digitalization by proposing a new moderated mediation model that demonstrates the relative importance of different mediators. The findings also help managers boost their supply chain performance in the digital era.