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Artificial Intelligence for Supply Chain Success in the Era of Data Analytics

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References

2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
2014Big Data: A Survey2,909 cited
2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
2016Critical analysis of Big Data challenges and analytical methods2,065 cited
2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics2,054 cited
2016Toward the development of a big data analytics capability1,444 cited
2017Machine learning on big data: Opportunities and challenges1,234 cited
2003Information systems in supply chain integration and management1,220 cited
2016Big data and predictive analytics for supply chain and organizational performance1,145 cited
2019Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities1,101 cited
2016A formal definition of Big Data based on its essential features931 cited
2019Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations885 cited
2019Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture881 cited
2017

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Can big data and predictive analytics improve social and environmental sustainability?

822 cited

2007Application of machine learning techniques for supply chain demand forecasting669 cited

2021Human + Machine : Reimagining Work in the Age of AI561 cited

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2024The use of artificial intelligence to advance sustainable supply chain: retrospective and future avenues explored through bibliometric analysis40 cited
2024Insights into the performance of green supply chain in the Chinese semiconductor industry34 cited
2021Illustrating scholar–practitioner collaboration for data-driven decision-making in the optimization of logistics facility location and implications for increasing the adoption of AR and VR practices15 cited