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Dynamic capabilities in the “new normal”: a study of organizational flexibility, integration and agility in the Peruvian coffee supply chain

Edgar Ramos (Department of Industrial Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru)
Andrea S. Patrucco (Department of Marketing and Logistics, College of Business Administration, Florida International University, Miami, Florida, USA)
Melissa Chavez (Industrial Engineering Program, Universidad Nacional de Ingenieria, Lima, Peru)

Supply Chain Management

ISSN: 1359-8546

Article publication date: 14 October 2021

Issue publication date: 2 January 2023




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.


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.


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.


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.



Authors would like to thank Editor Prof Beverly Wagner and the two anonymous reviewers for their significant contributions to the improvement of this article. Authors would also like to thank Dr Giacomo Marzi for the methodological inputs provided. All the eventual errors are our sole responsibility.


Ramos, E., Patrucco, A.S. and Chavez, M. (2023), "Dynamic capabilities in the “new normal”: a study of organizational flexibility, integration and agility in the Peruvian coffee supply chain", Supply Chain Management, Vol. 28 No. 1, pp. 55-73.



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