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مهندسی صنایع::
تجزیهوتحلیل کلاندادهها
Big data analytics capabilities and frm performance: An integrated MCDM
Big data analytics
This study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on frm performance using an integrated multicriteria decision-making (MCDM) methodology.
additive weighting (SAW), are employed to assess the relative importance of BDA capabilities and the relationship of these capabilities with the frm performance.
The results show that BDA capabilities are interdependent, and infrastructure capabilities are the highest-ranked among all, followed by management and
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