Abstract
The rapid evolution of health information systems (Health IS) research has led to many significant contributions. However, while the Health IS subset of information systems (IS) scholarship has considerably grown over the past two decades, this growth has led to questions regarding the current intellectual structure of this area of inquiry. In an effort to more fully understand how Health IS research has contributed to the IS discipline, and what this may mean for future Health IS research in the IS domain, we conduct an in-depth evaluation of Health IS research published in mainstream IS journals. We apply citation analysis, latent semantic analysis (LSA), and social network analysis (SNA) to our data set of Health IS articles in order to: (1) identify Health IS research themes and thematic shifts, (2) determine which Health IS research themes are cohesive (versus disparate), (3) identify which Health IS research themes are central (versus peripheral), (4) clarify networks of researchers (i.e., thought leaders) contributing to these research themes, and (5) provide insights into the connection of Health IS research to its reference disciplines. Overall, we contribute a systematic description and explanation of the intellectual structure of Health IS research and highlight how the existing intellectual structure of Health IS research provides opportunities for future research.
Recommended Citation
Chen, L., Baird, A., & Straub, D. W. (2019). An Analysis of the Evolving Intellectual Structure of Health Information Systems Research in the Information Systems Discipline. Journal of the Association for Information Systems, 20(8), pp. 1023-1074. Association for Information Systems (AIS).
The definitive version is available at https://doi.org/10.17705/1jais.00561
Department(s)
Business and Information Technology
Keywords and Phrases
Citation analysis; Health Information Systems (Health IS); Intellectual structure; Latent Semantic Analysis (LSA); Scientometrics; Social Network Analysis (SNA); Thought leadership
International Standard Serial Number (ISSN)
1536-9323; 1558-3457
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 Association for Information Systems (AIS), All rights reserved.
Publication Date
01 Aug 2019
