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              <text>An Empirical Examination of the Factors of Big Data Analytics Implementation in Supply Chain Management and Logistics</text>
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              <text>Big data analytics; Logistics; Operational efficiency; Supply chain management</text>
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              <text>Numerous companies have effectively exploited Big Data Analytics (BDA) potential to enhance their effectiveness in the Big Data period. Given that big data application in logistics and supply chain management (SCM) is nevertheless in its early stages, assessments of BDA could differ from various viewpoints, producing certain difficulties in comprehending the significance and potential of big data. Based on past research on BDA and SCM, this work examines the factors that influence organizations' willingness to implement BDA in their everyday activities. This research divides potential elements into 4 groups: technical, firm, ecological, and supply chain issues. A framework consisting of direct factors like technical, firm, and mediators was presented based on the technology diffusion hypothesis. The experimental findings demonstrated that anticipated advantages and high-level management assistance might have a considerable impact on intended adoption. Furthermore, ecological variables like competitive adoption, administration legislation, and supply chain connection can greatly alter the direct connections between influencing causes and intended adoption.   2023 IEEE.</text>
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              <text>Ravindar K.; Syed M.H.; Sampath B.; Rajalakshmi B.; Reddy V.V.; Dutt A.</text>
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              <text>2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 452-456.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/UPCON59197.2023.10434540" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/UPCON59197.2023.10434540&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 979-835038247-1</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Ravindar K., School of Sciences, Sr University, Telangana, Warangal, India; Syed M.H., Saudi Electronic University, Department of Computer Science, Saudi Arabia; Sampath B., School of Business Management, Christ(Deemed to Be) University, Karnataka, Bangalore, India; Rajalakshmi B., New Horizon College of Engineering, Department of Computer Science, Bangalore, India; Reddy V.V., Institute of Aeronautical Engineering, Dundigal, Hyderabad, India; Dutt A., Lovely Professional University, Phagwara, India</text>
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