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This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).

This study used data from a survey of 181 organic producers in SFSCs, using partial least squares structural equation modeling (PLS-SEM) with the aid of the SmartPLS® 3 software for the analysis.

The results show the relationship between formal and informal governance mechanisms and relational rents. The predominance of informal mechanisms enabled a higher explanatory power than that provided by formal governance mechanisms. Further, the authors found that the complementary use of governance mechanisms has a stronger impact on generating relational rents. However, contextual factors such as relationship time, power asymmetry and uncertainty in demand have not shown any influence on governance mechanisms for generating relational rents.

The result sheds new light on the relevance of governance mechanisms to foster relational rents to suppliers in SFSCs. It also shows that contextual factors that affect relationships in traditional supply chains do not play a relevant role in SFSCs due to their specific characteristics.

The emission of greenhouse gases has become an increasingly relevant topic in supply chain management. The steel industry is a highly intensive manufacturing industry with significant emission levels, particularly Scope 3 emissions, which are the indirect emissions from suppliers. Since a supply chain is seen as a non-mandatory measurement item within GHG measurement protocols, this article contributes to the literature on assessing the suppliers of a focal company relative to their emissions for complying with Scope 3 (indirect emissions). It adds to the evolving literature on low-carbon supply chains.

This study first conducted a survey with 110 suppliers from a focal transnational buyer company. A cluster analysis was performed, and ANOVA compared constructs relating to public or private ownership and country of origin. Finally, regression tested the relationship between the motivators and governance in the mitigation strategies.

Using cluster analysis, two groups of companies were found that have statistically significant differences. The influence of the country of origin was also found in relation to governance and mitigation strategies, as was the influence of the type of company on governance. Furthermore, the more motivated the suppliers and the more governance measures they adopt, the more companies adopt their own GHG mitigation strategies. These findings are summarized by way of an analytical framework that integrates the constructs with empirical evidence.

The steel industry is a sector that is particularly energy-intensive and produces millions of tons of CO₂ per year. Emissions from its SC (Scope 3) are relevant but still seen as a non-mandatory item for measurement purposes within the GHG measurement protocols, which leads to less attention being paid to the subject. This study contributes by way of its analytical framework that is validated by empirical data that can be tested in further studies.