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AI-based predictive analytics for enhancing data-driven supply chain optimization
16 references·0 citing·48 second hop
AI-based predictive analytics for enhancing data-driven supply chain optimization (2025)AI-based predictive analytics for enhanci…How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic (2021)How big data analytics can he…Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context (2021)Facilitating artificial intel…AI technologies and their impact on supply chain resilience during COVID-19 (2021)AI technologies and their imp…Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Predictive big data analytics…Machine learning demand forecasting and supply chain performance (2020)Machine learning demand forec…Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss? (2020)Industry 4.0 and resilience i…Does digitalising the supply chain contribute to its resilience? (2020)Does digitalising the supply …A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019)A supervised machine learning…The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)The impact of digital technol…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …Back in business: operations research in support of big data analytics for operations and supply chain management (2016)Back in business: operations …Supply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Data quality for data science…Application of machine learning techniques for supply chain demand forecasting (2007)Application of machine learni…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…International Journal of Physical Distribution & Logistics Management (1993)International Journal of Phys…Information Distortion in a Supply Chain: The Bullwhip Effect (1997)The Bullwhip Effect In Supply Chains 1 (1997)Information systems in supply chain integration and management (2003)Artificial intelligence in supply chain management: theory and applications (2009)Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice (2018)Artificial intelligence in supply chain management: A systematic literature review (2020)Firm Resources and Sustained Competitive Advantage (1991)Toward a knowledge‐based theory of the firm (1996)Firm resources and sustained competitive advantage (2004)Debating big data: A literature review on realizing value from big data (2017)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance (2021)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Retail forecasting: Research and practice (2019)Artificial intelligence applications in supply chain management (2021)Forecasting: theory and practice (2022)International Journal of Production Research (1962)Managing Risk To Avoid Supply-Chain Breakdown (2004)Perspectives in supply chain risk management (2006)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Managerial Perspectives on Risk and Risk Taking (1987)Building the Resilient Supply Chain (2004)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)COVID-19 pandemic related supply chain studies: A systematic review (2021)Beyond the hype: Big data concepts, methods, and analytics (2014)Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)At the Epicenter of COVID-19–the Tragic Failure of the Global Supply Chain for Medical Supplies (2020)A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality (2023)Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility (2023)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Designing Complex Organizations (1973)Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions (2021)AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability (2024)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)How to Write Up and Report PLS Analyses (2009)Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1 (2009)Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations (2009)Dynamic digital capabilities and supply chain resilience: The role of government effectiveness (2023)Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023)INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT (2023)The Service Delivery Network (SDN) (2013)Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies (2021)Traceability vs. sustainability in supply chains: The implications of blockchain (2022)
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References

  • 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics2,221 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,155 cited
  • 2014Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications912 cited
  • 2007Application of machine learning techniques for supply chain demand forecasting708 cited
  • 2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities602 cited
  • 2019A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing551 cited
  • 1993International Journal of Physical Distribution & Logistics Management507 cited
  • 2020Does digitalising the supply chain contribute to its resilience?404 cited
  • 2020Machine learning demand forecasting and supply chain performance377 cited
  • 2015Supply chain forecasting: Theory, practice, their gap and the future372 cited
  • 2021AI technologies and their impact on supply chain resilience during COVID-19342 cited
  • 2005Improved supply chain management based on hybrid demand forecasts335 cited
  • 2020Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss?327 cited

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  • 2021Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context257 cited
  • 2021How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic209 cited
  • 2016Back in business: operations research in support of big data analytics for operations and supply chain management170 cited
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