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Analysis of the Impact of Big Data and Artificial Intelligence Technology on Supply Chain Management
16 references·0 citing·55 second hopsampled
Analysis of the Impact of Big Data and Artificial Intelligence Technology on Supply Chain Management (2023)Analysis of the Impact of Big Data and Ar…Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022)Artificial intelligence and b…The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance (2021)The impact of big data analyt…Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment (2021)Research and Analysis of an E…Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture (2021)Integrating big data analytic…Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Predictive big data analytics…Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications (2020)Internet-of-things enabled su…A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics (2020)A systematic literature revie…A note on big data analytics capability development in supply chain (2020)A note on big data analytics …The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism (2019)The performance effects of bi…Big data analytics for supply chain relationship in banking (2019)Big data analytics for supply…Big data analytics as an operational excellence approach to enhance sustainable supply chain performance (2019)Big data analytics as an oper…Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain (2019)Big data analytics and organi…The Internet of Things (IoT) in retail: Bridging supply and demand (2018)The Internet of Things (IoT) …Forecasting sales in the supply chain: Consumer analytics in the big data era (2018)Forecasting sales in the supp…An analytic infrastructure for harvesting big data to enhance supply chain performance (2018)An analytic infrastructure fo…Big data in humanitarian supply chain management: a review and further research directions (2017)Big data in humanitarian supp…What is the Right Supply Chain for Your Product (1997)How to win in an Omnichannel world (2014)From Multi-Channel Retailing to Omni-Channel Retailing (2015)The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources (2019)Development of renewable energy resources by green finance, volatility and risk: Empirical evidence from China (2022)Internet of Things (IoT) in Supply Chain Management: Challenges, Opportunities, and Best Practices (2023)In Search of Attention (2011)Twitter mood predicts the stock market (2011)Predicting the Present with Google Trends (2012)Supply chain finance: Historical foundations, current research, future developments (2019)Sustainable Supply Chains in the Age of AI and Digitization: Research Challenges and Opportunities (2019)Export sales forecasting using artificial intelligence (2020)Intraclass correlations: Uses in assessing rater reliability. 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(1983)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data: A Survey (2014)Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021)Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19 (2022)Geopolitical disruptions in global supply chains: a state-of-the-art literature review (2023)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Green supply chain innovation: Emergence, adoption, and challenges (2022)Smart green supply chain management: a configurational approach to enhance green performance through digital transformation (2022)Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions (2023)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework (2021)A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs (2022)Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions (2022)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Understanding the concept of supply chain resilience (2009)Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research (2023)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)
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References

  • 2019The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism762 cited
  • 2019Big data analytics as an operational excellence approach to enhance sustainable supply chain performance704 cited
  • 2021The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance702 cited
  • 2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities505 cited
  • 2019Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain423 cited
  • 2022Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review421 cited
  • 2018Forecasting sales in the supply chain: Consumer analytics in the big data era271 cited
  • 2021Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture221 cited
  • 2020A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics217 cited
  • 2018The Internet of Things (IoT) in retail: Bridging supply and demand203 cited
  • 2020A note on big data analytics capability development in supply chain187 cited
  • 2017Big data in humanitarian supply chain management: a review and further research directions128 cited
  • 2018

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An analytic infrastructure for harvesting big data to enhance supply chain performance
126 cited
  • 2019Big data analytics for supply chain relationship in banking118 cited
  • 2021Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment117 cited
  • 2020Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications114 cited
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