Click here for a data scientist: Big data, predictive analytics, and theory development in the era of a maker movement supply chain

Journal of Business Logistics

Volumn 34, Issue 4, 2013, Pages 249-252

  Waller, Matthew A ^a   Fawcett, Stanley E ^b  

^a UNIVERSITY OF ARKANSAS   (United States)

^b WEBER STATE UNIVERSITY   (United States)

Author keywords

3D printing; additive manufacturing; big data; data science; data scientist; education; logistics; maker movement; predictive analytics; research; supply chain management; theory development

Indexed keywords

EID: 84900822860     PISSN: 07353766     EISSN: 21581592     Source Type: Journal    
DOI: 10.1111/jbl.12024     Document Type: Article

References (9)

1. Anderson, C., 2012. Makers: The New Industrial Revolution. New York: Random House.
2. Diakov, D., 2013. " UPS May Have Hit Pay Dirt With 3D Printing. " Forbes. http://www.forbes.com/sites/rakeshsharma/2013/08/19/ups-may-have- hit-pay-dirt-with-3d-printing/
3. Fawcett, S., and, Waller, M., 2013. " Inquiry and the Practice of Theoretical Conversation: Engaging in Dialogue to Elaborate Hidden Connections." Journal of Business Logistics 34 (1): 1-5.
4. Fowler, G., 2013 " Build a Better Mousetrap-Fast." Wall Street Journal, June 10. http://online.wsj.com/news/articles/ SB10001424127887324082604578487163888116022
5. Gilbert, E., and, Karahalios, K., 2010. " Widespread Worry and the Stock Market." ICWSM May: 59-65.
6. Koten, J., 2013 " Who Says Jay Leno Isn't Cutting Edge? " Wall Street Journal, June 10. http://online.wsj.com/news/articles/ SB10001424127887324866904578517090180869864
7. Mayer-Schönberger, V., and, Cukier, K., 2013. Big Data: A Revolution That Will Transform How We Live, Work, and Think. New York, NY: Eamon Dolan/Houghton Mifflin Harcourt.
8. UPS Store. 2013. " The UPS Store Makes 3D Printing Accessible to Start-Ups and Small Business Owners." Wall Street Journal, July 31. http://online.wsj.com/article/PR-CO-20130731-911842.html#
9. Waller, M., and, Fawcett, S., 2013. " Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management." Journal of Business Logistics 34 (2): 77-84.