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Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
16 references·2 citing·46 second hopsampled
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review (2023)Big Data Analytics and Machine Learning i…Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms (2021)Linkages between big data ana…Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021)Improving supply chain resili…Digitalizing procurement: the impact of data analytics on supply chain performance (2021)Digitalizing procurement: the…Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society (2020)Big data supply chain analyti…A sustainable production-inventory model for a controllable carbon emissions rate under shortages (2020)A sustainable production-inve…Understanding supply chain analytics capabilities and agility for data-rich environments (2019)Understanding supply chain an…Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing (2019)Supply chain data analytics f…Linking big data analytics and operational sustainability practices for sustainable business management (2019)Linking big data analytics an…A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019)A supervised machine learning…Big data analytics and application for logistics and supply chain management (2018)Big data analytics and applic…Data-driven supply chain capabilities and performance: A resource-based view (2017)Data-driven supply chain capa…Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2017)Big data analytics in supply …Big data applications in operations/supply-chain management: A literature review (2016)Big data applications in oper…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…How strategists use “big data” to support internal business decisions, discovery and production (2014)How strategists use “big data…Forecasting with twitter data (2013)Forecasting with twitter dataRiding the wind: environmental dynamism and the sustainable takeoff of Chinese electric vehicle manufacturers (2026)Riding the wind: environmenta…THE ROLE OF DATA ANALYTICS IN MAKING MANAGEMENT DECISIONS BY THE LOGISTICS INTERMEDIARIES (2024)THE ROLE OF DATA ANALYTICS IN…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)Critical analysis of Big Data challenges and analytical methods (2016)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Information systems in supply chain integration and management (2003)Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era (2020)Role of artificial intelligence in operations environment: a review and bibliometric analysis (2020)Supply chain management in the era of circular economy: the moderating effect of big data (2020)Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future (2014)Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs (2019)A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19) (2020)Structural equation modeling in practice: A review and recommended two-step approach. (1988)CRITICAL QUESTIONS FOR BIG DATA (2012)Big data analytics and firm performance: Effects of dynamic capabilities (2016)The role of digital innovation in knowledge management systems: A systematic literature review (2020)Towards a circular economy: An emerging economies context (2020)The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance (2021)Beyond the hype: Big data concepts, methods, and analytics (2014)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)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)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Managing carbon footprints in inventory management (2011)Carbon Footprint and the Management of Supply Chains: Insights From Simple Models (2012)The carbon-constrained EOQ (2012)Combined effects of carbon emission and production quality improvement for fixed lifetime products in a sustainable supply chain management (2020)Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions (2020)Role of green technology, environmental taxes, and green energy towards sustainable environment: Insights from sovereign Nordic countries by CS-ARDL approach (2023)Dynamic capabilities and strategic management (1997)A framework of sustainable supply chain management: moving toward new theory (2008)Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises (2021)How do green knowledge management and green technology innovation impact corporate environmental performance? Understanding the role of green knowledge acquisition (2022)Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises (2022)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Building the Resilient Supply Chain (2004)Understanding the concept of supply chain resilience (2009)Industry 4.0 enables supply chain resilience and supply chain performance (2022)INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT (2023)The impact of industry 4.0 on supply chain capability and supply chain resilience: A dynamic resource-based view (2023)Pharma Industry 4.0: Literature review and research opportunities in sustainable pharmaceutical supply chains (2018)Technological challenges of green innovation and sustainable resource management with large scale data (2018)
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References

  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2017Big data analytics in supply chain management between 2010 and 2016: Insights to industries582 cited
  • 2019A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing551 cited
  • 2021Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic545 cited
  • 2016Big data applications in operations/supply-chain management: A literature review401 cited
  • 2019Linking big data analytics and operational sustainability practices for sustainable business management381 cited
  • 2021Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms350 cited
  • 2018Big data analytics and application for logistics and supply chain management327 cited
  • 2020A sustainable production-inventory model for a controllable carbon emissions rate under shortages324 cited
  • 2017Data-driven supply chain capabilities and performance: A resource-based view300 cited
  • 2019Understanding supply chain analytics capabilities and agility for data-rich environments247 cited
  • 2014How strategists use “big data” to support internal business decisions, discovery and production235 cited
  • 2021Digitalizing procurement: the impact of data analytics on supply chain performance

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218 cited
  • 2019Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing215 cited
  • 2020Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society203 cited
  • 2013Forecasting with twitter data169 cited
  • Cited by

    • 2024THE ROLE OF DATA ANALYTICS IN MAKING MANAGEMENT DECISIONS BY THE LOGISTICS INTERMEDIARIES8 cited
    • 2026Riding the wind: environmental dynamism and the sustainable takeoff of Chinese electric vehicle manufacturers5 cited