Leveraging animal feed supply chain capabilities through big data analytics: a qualitative study

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dc.contributor.authorAbushaikha, Ismail
dc.contributor.authorBwaliez, Omar M.
dc.contributor.authorYaseen, Marwa
dc.contributor.authorHamadneh, Samer
dc.contributor.authorDarwish, Tamer K.
dc.date.accessioned2025-06-11T11:32:06Z
dc.date.available2025-06-11T11:32:06Z
dc.date.freetoread2025-06-11
dc.date.issued2025
dc.date.pubOnline2025-05-19
dc.description.abstractPurpose Although big data analytics (BDA) has gained widespread interest in supply chain management (SCM) literature in recent years, our understanding of how it contributes to improved animal feed supply chains (SCs) is still underexplored. This study provides a greater understanding of the role of BDA in improving animal feed SC capabilities. Design/methodology/approach A qualitative approach was used in this study. Data were collected through 32 semistructured interviews from several actors involved in the production and supply of animal feed concentrates. Findings This study provides rich in-description evidence of how BDA enhances performance in the animal feed supply chain through improved logistics capabilities, quality control and information visibility. Our findings also suggest that organizational culture contributes to leveraging BDA capabilities in the feed-processing SCs. Practical implications The research provides an in-depth qualitative investigation of implementing big data in the feed processing SCs. The study provides practical implications for SC managers in the agri-food sector. Originality/value The study contributes to the growing body of knowledge by providing field evidence of the relevance of BDA to animal feed SCs. Moreover, this study adds to the existing literature by providing an understanding of the role of the internal culture of the organization in leveraging BDA capabilities in the SC.
dc.description.journalNameInternational Journal of Quality & Reliability Management
dc.format.extentpp. xx-xx
dc.identifier.citationAbushaikha I, Bwaliez OM, Yaseen M, et al., (2025) Leveraging animal feed supply chain capabilities through big data analytics: a qualitative study. International Journal of Quality & Reliability Management, Available online 19 May 2025en_UK
dc.identifier.eissn1758-6682
dc.identifier.elementsID673341
dc.identifier.issn0265-671X
dc.identifier.issueNoahead-of-print
dc.identifier.urihttps://doi.org/10.1108/ijqrm-01-2024-0012
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/24015
dc.identifier.volumeNoahead-of-print
dc.languageEnglish
dc.language.isoen
dc.publisherEmeralden_UK
dc.publisher.urihttps://www.emerald.com/insight/content/doi/10.1108/ijqrm-01-2024-0012/full/html
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAnimal feed supply chainen_UK
dc.subjectBig data analyticsen_UK
dc.subjectSustainable supply chainen_UK
dc.subjectQualitative researchen_UK
dc.subjectLogistics capabilitiesen_UK
dc.subject3509 Transportation, Logistics and Supply Chainsen_UK
dc.subject35 Commerce, Management, Tourism and Servicesen_UK
dc.subjectData Scienceen_UK
dc.subject12 Responsible Consumption and Productionen_UK
dc.subjectBusiness & Managementen_UK
dc.subject3507 Strategy, management and organisational behaviouren_UK
dc.titleLeveraging animal feed supply chain capabilities through big data analytics: a qualitative studyen_UK
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2025-04-17

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