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The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995–2015.
- Source :
- Journal of the Association for Information Science & Technology; Jul2023, Vol. 74 Issue 7, p811-827, 17p, 8 Charts, 9 Graphs
- Publication Year :
- 2023
-
Abstract
- The paper reports a longitudinal analysis of the topical and methodological development of Library and Information Science (LIS). Its focus is on the effects of researchers' disciplines on these developments. The study extends an earlier cross‐sectional study (Vakkari et al., Journal of the Association for Information Science and Technology, 2022a, 73, 1706–1722) by a coordinated dataset representing a content analysis of articles published in 31 scholarly LIS journals in 1995, 2005, and 2015. It is novel in its coverage of authors' disciplines, topical and methodological aspects in a coordinated dataset spanning two decades thus allowing trend analysis. The findings include a shrinking trend in the share of LIS from 67 to 36% while Computer Science, and Business and Economics increase their share from 9 and 6% to 21 and 16%, respectively. The earlier cross‐sectional study (Vakkari et al., Journal of the Association for Information Science and Technology, 2022a, 73, 1706–1722) for the year 2015 identified three topical clusters of LIS research, focusing on topical subfields, methodologies, and contributing disciplines. Correspondence analysis confirms their existence already in 1995 and traces their development through the decades. The contributing disciplines infuse their concepts, research questions, and approaches to LIS and may also subsume vital parts of LIS in their own structures of knowledge production. [ABSTRACT FROM AUTHOR]
- Subjects :
- PUBLISHING
STATISTICS
MEDICINE
LIBRARY science
INTERDISCIPLINARY research
RESEARCH methodology
CROSS-sectional method
DATABASE management
CITATION analysis
SOCIAL sciences
ENGINEERING
INFORMATION science
INFORMATION retrieval
CHI-squared test
SYSTEM analysis
COMMUNICATION
CONTENT analysis
INFORMATION-seeking behavior
HUMANITIES
CLUSTER analysis (Statistics)
AUTHORSHIP
SCIENCE
Subjects
Details
- Language :
- English
- ISSN :
- 23301635
- Volume :
- 74
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Journal of the Association for Information Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 164116227
- Full Text :
- https://doi.org/10.1002/asi.24757