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Practitioners understanding of big data and its applications in supply chain management
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Practitioners understanding of big data and its applications in supply chain management (2018)Practitioners understanding of big data a…Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management (2017)Challenges and opportunities …Factors influencing big data decision-making quality (2016)Factors influencing big data …Big data and predictive analytics for supply chain and organizational performance (2016)Big data and predictive analy…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics and firm p…How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)How ‘big data’ can make big i…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data 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analytics and social capital on performance of humanitarian supply chain (2019)Influence of big data and pre…Explaining the competitive advantage generated from Analytics with the knowledge-based view: the example of Logistics and Supply Chain Management (2019)Explaining the competitive ad…Business analytics in manufacturing: Current trends, challenges and pathway to market leadership (2019)Business analytics in manufac…An Experimental Application of the DELPHI Method to the Use of Experts (1963)the delphi method: techniques and applications (1975)Current validity of the Delphi method in social sciences (2005)Mail and internet surveys : the tailored design method (2007)Enhancing rigour in the Delphi technique research (2011)Key competencies in sustainability in higher education—toward an agreed-upon reference framework (2020)The Nature of the Firm (1937)Competitive Advantage: Creating and Sustaining Superior Performance (1985)Process innovation: reengineering work through information 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References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
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  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
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  • 2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
  • 1998Supply Chain Management: Implementation Issues and Research Opportunities2,437 cited
  • 2013Bridging the Qualitative–Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems12,371 cited
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  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2014Big Data and Management1,198 cited
  • 2016Big data and predictive analytics for supply chain and organizational performance1,145 cited
  • 2017Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management

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947 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
  • 2016Factors influencing big data decision-making quality798 cited
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