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Exploring The Nexus Between Big Data Analytics And Agribusiness Competitive Advantage In China: The Mediating Role Of Data-Driven Innovation

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dc.contributor.authorZhang, Peng
dc.date.accessioned2026-06-09T03:50:53Z
dc.date.available2026-06-09T03:50:53Z
dc.date.issued2025-04
dc.description.abstractThis study explores the dynamic relationship between big data analytics (bda), data-driven innovation (ddi), and competitive advantage (ca) within chinese agribusinesses. Employing a quantitative approach, the research examines both direct and mediated relationships between these constructs, specifically investigating how bda influences ca both directly and through the mediating role of ddi. A survey questionnaire developed through literature review and practitioner interviews collected data from 287 agribusinesses, analysed using partial least squares structural equation modelling (pls-sem).The findings reveal novel insights into technological adoption dynamics: (1) the study pioneers an integrated framework combining the technology-organization-environment (toe) theory with resource-based view (rbv) to explain data-driven competitive advantage; (2) explores nine significant bda enablers (relative advantage, data quality, top management support, human resources, customer orientation, risk management, competitive pressure, data-driven culture, and market uncertainty) and one inhibitor (complexity), while challenging conventional assumptions about compatibility and regulatory support.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/24352
dc.language.isoen
dc.subjectExploring Nexus Between Analytics Agribusiness Competitive
dc.titleExploring The Nexus Between Big Data Analytics And Agribusiness Competitive Advantage In China: The Mediating Role Of Data-Driven Innovation
dc.typeResource Types::text::thesis::doctoral thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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