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Purpose While it is known that digital transformation facilitates data flow in supply chains, its importance on green supply chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of digital transformation in GSCM by investigating the interconnections between these concepts and providing an integrative view of a smart green supply chain management (Smart GSCM). Design/methodology/approach This adopts a configurational perspective on digital transformation and supply chain management (SCM) to investigate the different dimensions of Smart GSCM and their contribution to green performance. Therefore, this paper analyzes data from 473 manufacturing companies using regression techniques. Findings The results show how smart supply chain contributes to green performance through managing green relationships (external GSCM activities) and establishing green operations (internal GSCM activities). Furthermore, this paper finds partial mediating effects for external and internal GSCM activities on green performance. These findings show that smart supply chain (i.e. digital transformation strategy and front-end technologies, supported by several back-end technologies) is directly associated with higher levels of GSCM. It is specifically associated with one of the internal dimensions of green operations, namely, green purchasing activities. Hence, the findings suggest that digital transformation alone is insufficient to achieve green performance, needing a GSCM configuration to mediate this effect. Practical implications This study calls attention to how managers should integrate these at least three different perspectives of SCM: digital transformation, external relationships and internal operations to increase green performance. Originality/value As the main contribution, this study provides a configurational and holistic understanding of the different dimensions and mechanisms in Smart GSCM.

PurposeThe paper aims to further understanding of connectivity from the perspective of blockchain technology (BT) in the supply chain (SC). It presents the weaknesses (inhibitors) of connectivity during technology implementation, focusing on supply chain interaction and resilience.Design/methodology/approachRestricting the focus to digital connectivity, interaction and supply chain resilience, this paper uses a systematic literature review (SLR) to examine how the literature has addressed, related or flagged connectivity weaknesses affecting supply chain interaction and resilience.FindingsThis study highlights the influence of connectivity for blockchain-technology projects. Technical and organisational influencers that affect the adoption of technology in the SC are presented. These influencers support the factors proposed in this study regarding the weaknesses that negatively affect the interaction between the agents involved and the SC's resilience. The research suggests that the weaknesses are related to technical needs and the relationships between companies arising from functionalities.Research limitations/implicationsThis paper is restricted to a review of the theory and the researched material. Although the author was careful to choose the best search terms related to the research objective, some potentially relevant articles may have been excluded.Practical implicationsThe study summarises research on blockchain connectivity influencers in the SC, helping managers to anticipate and mitigate some of doubts and concerns in projects of this nature.Originality/valueThis is one of the first articles in the area of operations and SCs that addresses the topic of connectivity, focusing on its restrictive factors (connectivity inhibitors), in the context of blockchain implementation in the SC.

The aim of this paper is to analyze the perceptions of the transport service providers on the barriers in urban freight transport and the restrictions imposed on freight vehicles, identifying which urban freight transport policies can improve this activity in Brazil. Principal component analysis allowed us to identify which are barriers in urban cargo transport and the restrictions imposed on freight vehicles. In addition, we evaluated freight policies that can improve the activity using probabilistic preference. We obtained the database from a web-based survey of transport service providers in Brazil. The results indicate that the urban freight vehicle restriction is related to congestion and availability of loading and unloading areas. The freight vehicle restriction is a result of the lack of information and data. The theft of cargo significantly impacts urban freight transport. Transport service provider company perceptions indicate an urban mobility plan as the most-required freight policy to improve freight mobility. To reduce the barriers to urban freight planning, an understanding of the problem involving the stakeholders is needed. To do so, the challenge is to change the culture in the transportation planning process by integrating various actors to create an urban logistics plan that generates opportunities for the city.

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