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Book Description

CSCMP is seeking answers to questions relating to how supply chain partners are employing Big Data in supply chain strategy, Big Data’s potential to influence performance, and obstacles to exploiting its potential.  They are doing this in two phases, beginning with a qualitative assessment to lay the groundwork for a more in-depth quantitative analysis.  This report provides the results of the first phase.  One of the goals of this phase was to uncover a managerially agreed-upon definition of Big Data.  Such agreement is needed to develop any level discussion of what managers are collecting, manipulating, and exchanging.  They also developed this study to begin developing an understanding of best practices concerning supply partnerships and Big Data.  Thus, they will address supply chain manager perceptions of the opportunities and obstacles Big Data creates for the supply chain.

Table of Contents

  1. Title Page
  2. Copyright Page
  3. Contents
  4. Acknowledgements
  5. Introduction
    1. What Does Big Data Mean in the Supply Chain?
    2. Obstacles and Opportunities
    3. Research Questions
  6. Methodology and Sample
    1. Sample
    2. Sample
  7. Results
    1. What Supply Chain Managers Call “Big Data”
    2. Defining Big Data: Global Views
    3. Big Data Definition: By Country
    4. Conclusion
    5. Obstacles and Opportunities: Global Views
    6. Obstacles and Opportunities: Country Level
  8. Key Takeaways
  9. References
  10. Endnotes
  11. Appendix
    1. Native Category Research Questions
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