Paper Info
Title
Advancing Automated Content Analysis In Knowledge Management Research: The Use Of Compound Concepts
Abstract
This article reports on the development of a knowledge management (KM) dictionary and its application to automated content analysis to investigate topical foci of KM publications and provide an overview of the current research landscape. While automated content analysis gains importance, a problem prevails concerning the use and analysis of compound concepts (e.g., organizational learning). Using a self-developed dictionary of KM-related compound concepts, a sample of 4,290 publications from ten top-ranked KM journals and one KM conference was analyzed using text-mining software. Based on the dictionary approach, this study investigates core research themes of the KM discipline and compares key research interests throughout the IJKM community and those of other outlets. The investigation provides guidance to identify research opportunities in KM and provides useful implications concerning the application of dictionaries. Practitioners might adapt their organizations' approaches to KM accordingly, with regard to prevailing themes and trends in KM research.
Year
DOI
Venue
2019
10.4018/IJKM.2019010104
INTERNATIONAL JOURNAL OF KNOWLEDGE MANAGEMENT
Keywords
Field
DocType
Automated Content Analysis, Compound Concepts, Corpus Linguistics, Frequency Counts, Knowledge Management Dictionary, Knowledge Management Literature, Literature Review, R Software, Text Analytics
Content analysis,Computer science,Knowledge management
Journal
Volume
Issue
ISSN
15
1
1548-0666
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Nora Fteimi132.40
Dirk Basten25716.67
Franz Lehner344479.29