Knowledge Linkage A Social Network Analysis of Tourism Dissertation Subjects

Research subjects are indicative of problem areas amongst which knowledge traffic occurs and networks form in a scientific community. This article presents a social network analysis of tourism dissertation subjects based on ProQuest Dissertations and Theses–Full Text database (1994-2008). The study...

Full description

Saved in:
Bibliographic Details
Published in:Journal of hospitality & tourism research (Washington, D.C.) Vol. 36; no. 4; pp. 450 - 477
Main Authors: Ying, Tianyu, Xiao, Honggen
Format: Journal Article
Language:English
Published: Los Angeles, CA SAGE Publications 01.11.2012
Sage
SAGE PUBLICATIONS, INC
Subjects:
1994-2008
Bibliometrie
Knowledge
Nordamerika
Scholarly publishing
Social network analysis
Social networks
Soziales Netzwerk
Studies
Tourism
Tourismusforschung
Wissenschaftliche Publikation
North America
scientific community
knowledge network
tourism dissertation
social network analysis
ISSN:1096-3480, 1557-7554
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Research subjects are indicative of problem areas amongst which knowledge traffic occurs and networks form in a scientific community. This article presents a social network analysis of tourism dissertation subjects based on ProQuest Dissertations and Theses–Full Text database (1994-2008). The study suggests an openness and vibrancy of tourism as a domain of knowledge from a social network perspective. Longitudinal examinations revealed a structural change in its knowledge development. Twenty-one subjects were identified as subdomains in this dynamic and interconnected knowledge system. The article also discusses the relationships between subject areas and doctoral program distributions for tourism research at North American institutions. Results of the study contribute to discussions on scientific community and knowledge networks in interdisciplinary tourism studies.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:1096-3480
1557-7554
DOI:10.1177/1096348011400745