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Big Data and Business Analytics in the Supply Chain: A Review of the Literature
16 references·1 citing·34 second hop
Big Data and Business Analytics in the Supply Chain: A Review of the Literature (2015)Big Data and Business Analytics in the Su…Managing and Using Information Systems: A Strategic Approach (2019)Managing and Using Informatio…Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research (2014)Editorial —Big Data, Data Sci…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …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…Big Data: A Survey (2014)Big Data: A SurveyBig Data and Management (2014)Big Data and ManagementThe impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective (2013)The impact of advanced analyt…Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Data Science, Predictive Anal…Click Here for a Data Scientist: Big Data, Predictive Analytics, and Theory Development in the Era of a Maker Movement Supply Chain (2013)Click Here for a Data Scienti…Big Data: The Next Big Thing in Innovation (2013)Big Data: The Next Big Thing …Uma análise bibliométrica da literatura sobre estratégia e avaliação de desempenho (2012)Uma análise bibliométrica da …Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Understanding Big Data: Analy…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…The impact of business analytics on supply chain performance (2009)The impact of business analyt…Real time business intelligence in supply chain analytics (2008)Real time business intelligen…Predictive and Adaptive Management Approach for Omnichannel Retailing Supply Chains (2018)Predictive and Adaptive Manag…Firm Resources and Sustained Competitive Advantage (1991)Toward a knowledge‐based theory of the firm (1996)Firm resources and sustained competitive advantage (2004)Big data and disaster management: a systematic review and agenda for future research (2017)Circular economy and big data analytics: A stakeholder perspective (2018)Artificial intelligence applications in supply chain management (2021)Big data: the management revolution. (2012)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)An overview of business intelligence technology (2011)Big data: a revolution that will transform how we live, work, and think (2013)A survey of machine learning for big data processing (2016)CONJECTURES AND REFUTATIONS (1963)To Explain or to Predict? (2010)Data science and prediction (2013)Data Science (2017)The Sociotechnical Axis of Cohesion for the is Discipline: Its Historical Legacy and its Continued Relevance1 (2019)Issues in Supply Chain Management (2000)IT doesn't matter. (2003)The impact of supply chain management practices on competitive advantage and organizational performance (2004)Towards business intelligence systems success: Effects of maturity and culture on analytical decision making (2012)A unified foundation for business analytics (2014)Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research (2015)Beyond the hype: Big data concepts, methods, and analytics (2014)Big data: A review (2013)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Big Data technologies: A survey (2017)Critical analysis of Big Data challenges and analytical methods (2016)Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal (2018)Algorithms at Work: The New Contested Terrain of Control (2019)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)
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References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2014Big Data: A Survey2,909 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2011Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data1,467 cited
  • 2014Big Data and Management1,198 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 applications863 cited
  • 2014Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research611 cited
  • 2009The impact of business analytics on supply chain performance481 cited
  • 2019Managing and Using Information Systems: A Strategic Approach408 cited
  • 2008Real time business intelligence in supply chain analytics272 cited
  • 2013Big Data: The Next Big Thing in Innovation251 cited
  • 2013The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective

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200 cited
  • 2013Click Here for a Data Scientist: Big Data, Predictive Analytics, and Theory Development in the Era of a Maker Movement Supply Chain171 cited
  • 2012Uma análise bibliométrica da literatura sobre estratégia e avaliação de desempenho169 cited
  • Cited by

    • 2018Predictive and Adaptive Management Approach for Omnichannel Retailing Supply Chains22 cited