Purpose This paper’s main aim is to check the mediating effect of supply chain memory in the relationship between using digital technologies and both supply chain resilience and robustness. In addition, the impact of the COVID-19 disruption was tested as a moderator of the impact of supply chain memory on supply chain resilience and robustness. Design/methodology/approach Altogether, 257 supply chain managers answered the questionnaire, and data were analysed through structural equation modelling. Findings This paper contributes to theory and practice by demonstrating that the experience, familiarity and knowledge to deal with disruptions partially mediate the relationship between digital technologies, resilience and robustness. Moreover, our results show that memory is less efficient for the supply chain to maintain an acceptable level of performance in case of a new extreme disruptive event like COVID-19. The full model was able to explain 36.90% of supply chain memory, 41.58% of supply chain resilience and 46.21% of supply chain robustness. Originality/value The study helps to understand how to develop supply chain memory, positioning digital technologies as an antecedent of it. The impact of supply chain memory on supply chain resilience and robustness is proved. Knowledge about the impact of industry 4.0 technologies on disruption management is quantitatively improved. It demonstrates that digital technologies impact resilience and robustness mainly through supply chain memory. The study proves that supply chain memory is less efficient for the chain remains effective when a non-routine disruptive event occurs, but it is still imperative to recover from it.

The ability to recover from disruptions is important for organizations and supply chains. Empirical data were used to investigate factors that affect supply chain recovery from disruptions, including collaboration, visibility, flexibility, analytical orientation, and supply chain risk management. A literature review was conducted to build an online questionnaire that was applied to manufacturing firms in Brazil. This work’s statistical method includes confirmatory factor analysis and structural equation modeling. Our results indicate that a package of resilience capabilities - collaboration, flexibility, visibility, and analytical orientation - positively affect supply chain resilience. Improving such capabilities, therefore, will allow supply chains to recover better from disruptions. It was also discovered, however, that supply chains do not recover from disruptions by way of supply chain risk management alone. Mutual impacts also exist between the group of resilience capabilities and supply chain risk management.

Understanding that disruptions can be devastating, the ability of supply chains to return, as quickly as possible, to their normal state, after disruptions, has been considered as important as optimizing their flows. According to the literature, companies must develop capabilities and invest in risk management to improve their supply chain resilience, however almost nothing has been investigated about the role of the analytical orientation for those purposes. Assuming that analytical orientation is essential for supply chains to recover from interruptions, this theoretical essay aimed at proposing its inclusion in an initial supply chain resilience model, based on literature review. As a contribution, this paper aims at presenting a model that will enlarge the discussion about this theme, which can be empirically tested in a future research.

Risk management has emerged as a field of operations management research due to the greater exposure of organizations to internal and external risks, as a result of globalization, outsourcing, reduction in the number of suppliers, and the need to improve cost and inventory management. Although this subject has received attention in recent years, the relationship between analytical orientation and supply chain risk management is little explored. Thus, this research verifies the impact of analytical orientation over supply chain risk management. A questionnaire was applied with micro, small and medium-sized firms of Brazilian Southeast region, obtaining 111 responses. The structural equation modeling was used for analysis and the main conclusions indicate that analytical orientation has a strong and significant impact over supply chain risk management. In this sense, those supply chains that are more analytical manage their risks better, resulting in lower perception of uncertainty.

PurposeIn the current business context, there is a current need to adopt contemporary practices of process management as a competitive advantage to leverage organizational results. This study aims to explore such relationships, considering the performance results in the organizational resilience (OR) dimension.Design/methodology/approachThe authors collected 82 valid responses from a survey targeted at professionals occupying positions or functions in the operations area. For data analysis, the authors used the technique of structural equation modeling (SEM) using the partial least squares (PLS) algorithm.FindingsThe results show that maturity in the management of business processes positively influences the behavior of OR, with the highest level of maturity primarily being responsible for this impact. This result reveals that resilience naturally depends on mature and well-established processes in the organizational structure. The proposed model explained 78.5% of OR.Practical implicationsCompanies that maintain mature management of their business processes will be better able to positively influence OR since process management can make organizations less fragile supply chains and more adaptable to changes.Originality/valueThe findings helped clarify the extent to which process management influences the results of OR. Although the literature indicates that maturity in business processes is formed by five first-order constructs, only the “innovated” dimension proved to be significant in the present study.

The ability to recover from disruptions is important for organizations and supply chains. Empirical data were used to investigate factors that affect supply chain recovery from disruptions, including collaboration, visibility, flexibility, analytical orientation, and supply chain risk management. A literature review was conducted to build an online questionnaire that was applied to manufacturing firms in Brazil. This work’s statistical method includes confirmatory factor analysis and structural equation modeling. Our results indicate that a package of resilience capabilities - collaboration, flexibility, visibility, and analytical orientation - positively affect supply chain resilience. Improving such capabilities, therefore, will allow supply chains to recover better from disruptions. It was also discovered, however, that supply chains do not recover from disruptions by way of supply chain risk management alone. Mutual impacts also exist between the group of resilience capabilities and supply chain risk management.

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O presente artigo tem como objetivo verificar se a orientação analítica proporciona melhores resultados, respectivamente, na resiliência das organizações e da cadeia de suprimentos. Para tal, metodologicamente empregou-se como técnica de análise a modelagem de equações estruturais, baseado no algoritmo dos mínimos quadrados parciais. Os resultados apontam que maiores níveis de orientação analítica, tanto a nível organizacional, quanto ao nível das cadeias, resultam em melhores níveis de resiliência. Logo, o artigo contribui para esclarecer o papel da orientação analítica no atual contexto cada vez mais incerto e instável, já que esta demonstrou-se essencial para a prevenção, adaptação e recuperação de empresas e cadeias.