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Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]
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References

  • 2013Big data: a revolution that will transform how we live, work, and think3,631 cited
  • 2011Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?797 cited
  • 2013Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think316 cited

Cited by

  • 2017Agile manufacturing practices: the role of big data and business analytics with multiple case studies216 cited
  • 2019Analytics-based decision-making for service systems: A qualitative study and agenda for future research193 cited
  • 2015Big data analytics and business analytics181 cited
  • 2019Growth hacking: Insights on data-driven decision-making from three firms177 cited
  • 2018Big data analytics in supply chain and logistics: an empirical approach134 cited
  • 2021Think human, act digital: activating data-driven orientation in innovative start-ups104 cited
  • 2023Strategic orientations, organizational ambidexterity, and sustainable competitive advantage: Mediating role of industry 4.0 readiness in emerging markets101 cited
  • 2019How Machine Learning is Changing e-Government88 cited
  • 2017A bibliographic study on big data: concepts, trends and challenges84 cited
  • 2022Data-driven value creation in Smart Product-Service System design: State-of-the-art and research directions84 cited

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2019
A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach
74 cited
  • 2022A brief survey on big data: technologies, terminologies and data-intensive applications73 cited
  • 2020A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem68 cited
  • 2018Progress on Artificial Neural Networks for Big Data Analytics: A Survey68 cited
  • 2023Big data and dynamic capabilities in the digital revolution: The hidden role of source variety67 cited
  • 2016Big data and predictive analytics applications in supply chain management67 cited