• DocumentCode
    2873416
  • Title

    How IT Supports Knowledge Discovery and Learning Processes on the Web

  • Author

    Jenkin, Tracy A.

  • Author_Institution
    Queen´´s Univ., Kingston
  • fYear
    2008
  • fDate
    7-10 Jan. 2008
  • Firstpage
    349
  • Lastpage
    349
  • Abstract
    This conceptual paper examines how IT can support individuals, and in turn their organizations, in learning about and knowing their external environment on the Web. Specifically, a theoretical framework is developed to identify the sets of tool characteristics, collectively referred to as levels, which are proposed to support different modes of learning and learning processes. In addition, extensions to the 41 organizational learning process model (Crossan et al., 1999) are proposed, specific to searching and learning on the Web: 1) adding a fifth process - information foraging and search term development, and 2) adding a fourth level to the learning process - machine-level. Understanding which types of tools are useful in different learning contexts has implications for learning effectiveness and may help firms understand how to ´manage´ their learning (Zack, 2005).
  • Keywords
    Internet; business data processing; data mining; information technology; learning (artificial intelligence); IT; Web learning processes; World Wide Web; information foraging; knowledge discovery; learning management; machine-level learning; organizational learning process model; Buildings; Cognitive science; Competitive intelligence; Electronic switching systems; Environmental management; Information resources; Information technology; Instruments; Machine learning; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hawaii International Conference on System Sciences, Proceedings of the 41st Annual
  • Conference_Location
    Waikoloa, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2008.191
  • Filename
    4439054