Achieving supply chain ambidexterity: empirical evidence of the contribution of big data analytics capability and learning orientation

Francis Kamewor Tetteh, Derrick Manu, Philomena Arhin, Kwame Owusu Kwateng and Kwabena Adjei

Journal of Enterprising Communities: People and Places in the Global Economy, 2026, vol. 20, issue 5, 1518-1544

Abstract: PurposeThis paper aims to examine the relationship between Big Data Analytics Capability (BDAC) and Supply Chain Ambidexterity (SCA).Design/methodology/approachBased on the identified gaps from the literature, a framework consisting of four hypotheses was formulated. The model validation involved a sample of 225 managers of small and medium-scale enterprises (SMEs) in Ghana through a self-administered instrument.FindingsThe authors found that BDAC enhances SCA while Learning Orientation (LO) positively and partially mediates the link between BDAC and SCA.Practical implicationsThe nexus between BDAC, LO and SCA is not always direct but influenced by LO.Originality/valueTo the best of the authors’ knowledge, this paper presents one of the initial investigations into the link between BDAC, LO and SCA in the Sub-Saharan Africa context with emphasis on the mediating role of LO in the SME setting.

Keywords: Big data analytics capability; Supply chain ambidexterity; Learning orientation; Ghana (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jecpps:jec-03-2025-0077

DOI: 10.1108/JEC-03-2025-0077

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