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The purpose of this paper is to investigate the impact of institutional drivers and buyer dependency on green supply chain management (GSCM) practices and performance of suppliers.

The authors draw on institutional theory and resource dependence theory to construct a conceptual model than links institutional drivers, GSCM practices, buyer dependency and performance outcomes. The authors test the hypotheses using partial least squares structural equation modeling applied to a sample of suppliers in the Australian manufacturing sector.

The results confirm that suppliers develop GSCM practices of green sourcing and eco-design to enhance their performance in response to both coercive forces and voluntary behaviors of their institutional environment. However, buyer dependence of suppliers explains important paradoxes in their uptake of GSCM practices. For example, while the institutional drivers encourage greater adoption of green sourcing by suppliers, increase in buyer dependence in turn reduces the positive performance outcome of green sourcing.

The authors establish that understanding and assessment of the role of buyer dependency is critical for managers in charge of GSCM practices of their company. This enables practitioners to proactively manage paradoxes resulting from institutional drivers and buyer dependency through an informed decision on the type of GSCM practice to be adopted for effectuating performance improvement.

The authors provide empirical evidence on paradoxes that curtail performance associated with the uptake of GSCM practices by suppliers moving beyond institutional environment by considering the role of buyer dependency.

The purpose of this paper is to review the literature on logistics and supply chain management (SCM) in Africa over the last few decades. It provides a comprehensive assessment of theory application regarding the research articles published between 1994 and 2016.

In this structured systematic literature review, a set of 110 articles on SCM research in Africa is assessed.

The authors present the state-of-the-art review on logistics and SCM research in Africa. Extant literature shows that most research works focused on operational aspects of logistics and SCM and that papers drew heavily on theories inspired by strategic management, marketing, micro/macroeconomics and organizational behavior theories. Also, most of the papers with theoretical background can be categorized into theory matching and theory dressing and only a minority of theoretical papers belongs to theory suggestion category. Furthermore, based on the findings, the authors present a framework to characterize the peculiar aspects of Africa-based SCM and logistics practices and provide research propositions related to underexplored aspects of logistics and SCM in Africa.

This study has a number of implications. Practitioners and researchers will gain a greater understanding of how logistics and SCM are carried out in Africa and the type of issues that have been addressed. Furthermore, researchers will be able to identify areas that need greater research attention in Africa.

This study is one of the first literature reviews of publications on logistics and SCM in Africa. It presents an overarching map of the research to date and a series of propositions to inform future research.

COVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.

We adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.

An AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.

As the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.

Supply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.

The present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

The banking industry plays a key role in society because of its role as a financial intermediary. Today’s banks are being asked to endorse environmental objectives, and recent studies have shown that large banks with strong financial performance are more likely to engage in environmental actions. Thus, the purpose of this paper is to investigate the link between corporate financial performance (CFP) and corporate environmental performance (CEP).

The authors focused on the French banking sector, using the data from a sample consisting of 191 observations covering 68 banks from 2008 to 2011. The environmental scores from the Vigeo database were the proxy measures for the extent to which banks engage in environmental actions. A panel regression model was employed for this study.

The findings show that high CFP was associated with high CEP. The findings also reveal that CFP and CEP may strengthen each other, suggesting a complex bidirectional relationship.

While many studies have examined whether it pays to be green, thus focusing on the causal relationship from CEP to CFP, few have considered that the causal direction might be reversed, from CFP to CEP. Furthermore, to the best of the authors’ knowledge, this paper is the first to analyze the CFP-CEP relationship using French bank data.