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How to Use Big Data to Drive Your Supply Chain
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How to Use Big Data to Drive Your Supply Chain (2016)How to Use Big Data to Drive Your Supply …Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach (2022)Role of big data analytics ca…Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022)Artificial intelligence and b…Industry 4.0 and green supply chain practices: an empirical study (2021)Industry 4.0 and green supply…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…Digital transformation: What we have learned (thus far) and what is next (2021)Digital transformation: What …A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks (2020)A global supply chain risk ma…Sustainable Supply Chains in the Age of AI and Digitization: Research Challenges and Opportunities (2019)Sustainable Supply Chains in …Strategic orientations, developmental culture, and big data capability (2019)Strategic orientations, devel…Factors influencing effective use of big data: A research framework (2019)Factors influencing effective…Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility (2019)Digital Supply Chain Twins: M…Understanding the value of big data in supply chain management and its business processes (2018)Understanding the value of bi…Intellectual Monopoly in Global Value Chains (2018)Intellectual Monopoly in Glob…Impact of big data on supply chain management (2018)Impact of big data on supply …Forecasting sales in the supply chain: Consumer analytics in the big data era (2018)Forecasting sales in the supp…Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality (2017)Why PLS-SEM is suitable for c…Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature (2017)Big Data Analytics: A Review …Big data: The next frontier for innovation, competition, and productivity (2011)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data : The Management Revolution (2013)Theory building with big data-driven research – Moving away from the “What” towards the “Why” (2020)Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)PLS-SEM: Indeed a Silver Bullet (2011)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Lean and green combine to impact environmental and operational performance (2018)Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility (2022)Industry 4.0 enables supply chain resilience and supply chain performance (2022)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)Export sales forecasting using artificial intelligence (2020)International Journal of Production Research (1962)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry (2019)A machine learning approach for predicting hidden links in supply chain with graph neural networks (2021)Future of artificial intelligence and its influence on supply chain risk management – A systematic review (2022)Firm Resources and Sustained Competitive Advantage (1991)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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  • 2019Factors influencing effective use of big data: A research framework180 cited
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Industry 4.0 and green supply chain practices: an empirical study
151 cited
  • 2018Understanding the value of big data in supply chain management and its business processes147 cited
  • 2020A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks147 cited
  • 2018Impact of big data on supply chain management146 cited