• 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