DocumentCode :
475929
Title :
Revealing the research themes and trends in Knowledge Management studies
Author :
Chen, Tsung-teng ; Lee, Maria R.
Author_Institution :
Grad. Sch. of Inf. Manage., Nat. Taipei Univ., Taipei
Volume :
1
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
320
Lastpage :
325
Abstract :
Knowledge management (KM) has come to encompass a wide range of studies. It is also a new discipline with great growth potential since knowledge acquisition and assimilation has become one of the most important ingredients in modern business practice. KM-related research within science and engineering could help provide the theoretical and infrastructural support that is needed by practitioners and researchers in this new field. The study of the intellectual structure of a discipline was pioneered by researchers in information science in the early eighties. The intellectual structure of KM had been studied earlier by researchers in the information systems (IS) field. The finding of IS researchers is idiosyncratically inclined toward IS related research. Our study draws on the CiteSeer citation index, which is primarily a computer engineering and information science citation database. The intellectual structure of KM derived from a predominantly science and engineering oriented index is quite different from what has been provided by IS researchers. Our results reveal sub areas that appear to form the conceptual groundwork of KM. Besides, these current research themes of KM were also explored, further identifying research trends in KM. It was found that the study of semantic based peer-to-peer computing is one of the most important of these trends.
Keywords :
citation analysis; knowledge management; engineering oriented index; information science citation database; information systems; knowledge acquisition; knowledge assimilation; knowledge management studies; peer-to-peer computing; Citation analysis; Conference management; Cybernetics; Frequency; Information management; Information science; Information technology; Knowledge management; Machine learning; Visualization; Citation analysis; Intellectual structure; Knowledge management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620424
Filename :
4620424
Link To Document :
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