PurposeThis paper aims to explore the antecedents and performance outcomes of supply chain integration in the agri-food industry in Latin America, a context that the literature on supply chain management has not extensively addressed. The quinoa supply chain, an industry that has encountered a boost in market demand in the past year, is selected as the unit of analysis. Supply chain integration dynamics are analyzed to provide recommendations about integration strategies and benefits in the agricultural sector.Design/methodology/approachA conceptual model was designed in this study, which includes the drivers (i.e. trust and commitment) and outcomes (i.e. operational and economic performance) of supply chain integration. The relationships were verified through a unique survey, the data of which were collected from 79 respondents operating at different levels of the Peruvian quinoa supply chain (i.e. suppliers, producers and customers). The proposed hypotheses were tested through the partial least squares (PLS) regression.FindingsThe results underscore the relevance of trust and commitment as enablers of supply chain integration initiatives in the agri-food industry. These factors are particularly essential for involving the farmers who are the most upstream actors in the supply chain and characterized by unstructured organizations. A high level of integration in these types of supply chain enhances the capacity to improve operational performance, which in turns positively affects the main economic indicators.Originality/valueThis study contributes to the discussion of supply chain integration in the agri-food industry, which remains unexplored thus far. It relies on a multitier collection of responses, which is extended to all the levels of the quinoa supply chain, thereby providing the study with a unique depth of analysis. Furthermore, this work contributes to the ongoing discourse on the performance impact of supply chain integration, which several SCM scholars have recently questioned.

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.

PurposeThe purpose of this paper is to review the literature on logistics and supply chain costs to provide an analysis of sources of publication, citations and authorship using bibliometric analysis techniques (VOSviewer and CitNetExplorer tools).Design/methodology/approachA review of 756 articles published during the period 2014 to 2019 referenced in the Scopus database was performed. The review was limited to articles published in English and directly related to logistics and supply chain costs.FindingsThe research identified more than 2,000 authors representing more than 5,000 keywords and 10,000 references from a total of 155 journals investigated. A critical synthesis of the resulting data revealed several insights about various aspects of studies in this field. For instance, the review identified a scarcity of academic publications in three key areas, namely “supply chain,” “optimization” and “transportation”, which are concepts focused on the total supply chain.Originality/valueThis research highlights important areas of attention for both researchers and practitioners considering costs associated with logistics and supply chain operations and strategies. The results can also help identify thematic areas, journals and topics for future research. The paper identifies and proposes research areas to contribute to the literature when challenges to investigating logistics and supply chain costs are discussed.

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PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

In the present scenario, lean manufacturing techniques are the most successful improvement concepts that many companies can apply in order to eliminate waste and non-value-added activities related to the manufacturing process. This paper discusses the implementation of lean manufacturing tools and an integrated framework between production planning and quality in a SME dedicated at a production of kitchen equipment. Studies of the company processes showed that the cutting and bending processes tend to create the most amount of sheet metal waste and non-value-added activities. The main objectives of the research were to standardize work, reduce waste, eliminate machine failures and develop the guidelines for a correct planning that meets quality requirements. The improvement results have shown a positive impact reducing the waste ratio and this has meant a saving of 13% in the manufacturing cost.

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