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
Link To Document