Big Data Redux: New Issues and Challenges Moving Forward
- J. Alberto Espinosa, Kogod School of Business, American University, Washington, District of Columbia, United States
- Stephen Kaisler, Applied Technology Group, Baltimore, Maryland, United States
- Frank Armour, Kogod School of Business, American University, Washington, District of Columbia, United States
- William Money, Tommy & Victoria Baker School of Business, The Citadel, Charleston, South Carolina, United States
AbstractAs of the time of this writing, our HICSS-46 proceedings article has enjoyed over 520 Google Scholar citations. We have published several HICSS proceedings, articles and a book on this subject, but none of them have generated this level of interest. In an effort to update our findings six years later, and to understand what is driving this interest, we have downloaded the first 500 citations to our article and the corresponding citing article, when available. We conducted an in-depth literature review of the articles published in top journals and leading conference proceedings, along with articles with a high volume of citations. This paper provides a brief summary of the key concepts in our original paper and reports on the key aspects of interest we found in our review, and also updates our original paper with new directions for future practice and research in big data and analytics.
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