The impact of the application of Big Data Technologies of D. P. World Supply Chain and Logistics
Hashem Alsheroa · Shankar Subramanian Iyer ORCID ↗ · Rajesh Arora · Brinitha Raji
International Journal of Business Ecosystem & Strategy · 2025 · Vol. 7 / Issue 5 · 242-265
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Abstract
This study examines the impact of Big Data technologies on operational efficiency in DP World’s supply chain and logistics operations. Employing a mixed-methods approach, we surveyed 405 stakeholders and performed 20 semi-structured interviews to investigate the incorporation of advanced analytics, machine learning, and real-time processing capabilities. The study employs Technology-Organization-Environment (TOE) and economic frameworks to examine the technological, organisational, environmental, and economic determinants affecting Big Data adoption. Results indicate substantial positive effects on the reduction of operational complexity, enhancement of customer responsiveness, improvement of supplier connections, and strengthening of technical partnerships. PLS-SEM analysis utilising ADANCO software validated all hypotheses, demonstrating robust connections between Big Data deployment and supply chain efficiency measures. Essential findings indicate that governmental assistance, organisational culture, and information technology infrastructure are crucial success determinants. The report offers practical advice for supply chain managers and policymakers, emphasising Big Data's revolutionary capacity for competitive advantage in global logistics operations.
Keywords: {'name': 'Big Data technologies, operational efficiency, supply chain, logistics, DP World, data analytics, machine learning, real-time processing, economic impact, decision-making'}
Authors & affiliations
Hashem Alsheroa
Westford University College
Shankar Subramanian Iyer
Westford University College
Rajesh Arora
Westford
Brinitha Raji
Global Business Studies
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