The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Models in information behaviour research
Abstract
This paper presents an outline of models of information seeking and other aspects of information behaviour, showing the relationship between communication and information behaviour in general with information seeking and information searching in information retrieval systems. It is suggested that these models address issues at various levels of information behaviour and that they can be related by envisaging a ‘nesting’ of models. It is also suggested that, within both information seeking research and information searching research, alternative models address similar issues in related ways and that the models are complementary rather than conflicting. Finally, an alternative, problem‐solving model is presented, which, it is suggested, provides a basis for relating the models in appropriate research strategies.
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Citations
Cites
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
INGWERSEN, P. (1996) · Journal of Documentation · doi:10.1108/eb026960 · Cited by 717 · cited 1×
“Saracevic identifies three models: the ‘traditional’ model, which ‘represents IR as a two prong set (system and user) of elements and processes converging on comparison or matching’; Ingwersen’s cognitive model [27], which ‘concentrates on identifying processes of cognition which may occur in all the information proce…”
Cited by
Let’s not forget: Learning analytics are about learning
Gašević, D., Dawson, S., & Siemens, G. (2015) · TechTrends · doi:10.1007/s11528-014-0822-x · Cited by 1,049
A model of information practices in accounts of everyday‐life information seeking
McKenzie, P. J. (2003) · Journal of Documentation · doi:10.1108/00220410310457993 · Cited by 606
Shin, G., Jarrahi, M. H., Fei, Y., Karami, A., Gafinowitz, N., Byun, A., & Lu, X. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103153 · Cited by 326
Talk to me: Exploring user interactions with the Amazon Alexa
Lopatovska, I., Rink, K., Knight, I., Raines, K., Cosenza, K., Williams, H., Sorsche, P., Hirsch, D., Li, Q., & Martinez, A. (2019) · Journal of Librarianship and Information Science · doi:10.1177/0961000618759414 · Cited by 298
Information needs and risk perception as predictors of risk information seeking
Huurne, E. T., & Gutteling, J. (2008) · Journal of Risk Research · doi:10.1080/13669870701875750 · Cited by 204
Metadata
- Authors
- Wilson, T. D.
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 1999-08-01
- Volume
- 55
- Issue
- 3
- Pages
- 249-270
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W2010210047
- Cited by
- 2,090
- References
- 2
- FWCI
- 31.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wilson, T. D. (1999). Models in information behaviour research. Journal of Documentation. https://doi.org/10.1108/eum0000000007145
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
