DocumentCode :
1582537
Title :
Theory vs. Data-Driven Learning in Future E-Commerce
Author :
Kaptein, Maurits ; Parvinen, Petri ; Poyry, Essi
fYear :
2013
Firstpage :
2763
Lastpage :
2772
Abstract :
As personalization, adaptation and persuasion are called for in e-commerce and as computational power increases, a question emerges: should companies use theories to develop and run their e-commerce operations or does mere data based optimization do a better job? We explore different types of computer-based learning methods and present two evaluations of primarily data-driven learning applications that advance e-commerce in the direction of interactive e-selling relationships.
Keywords :
Business; Context; Electronic commerce; Learning systems; Marketing and sales; Real-time systems; Data-driven; Learning; Online experiments; Theory-driven;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2013 46th Hawaii International Conference on
Conference_Location :
Wailea, HI, USA
ISSN :
1530-1605
Print_ISBN :
978-1-4673-5933-7
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2013.549
Filename :
6480178
Link To Document :
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