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    Models of information search: A comparative analysis

    190252_190252.pdf (533.2Kb)
    Access Status
    Open access
    Authors
    Joseph, Pauline
    Debowski, S.
    Goldschmidt, P.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Joseph, Pauline and Debowski, Shelda and Goldschmidt, Peter. 2013. Models of information search: A comparative analysis. Information Research. 18 (1).
    Source Title
    Information Research
    Additional URLs
    http://www.informationr.net/ir/18-1/paper562.html
    ISSN
    13681613
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by-nc-nd/3.0/. Please refer to the licence to obtain terms for any further reuse or distribution of this work.

    URI
    http://hdl.handle.net/20.500.11937/34532
    Collection
    • Curtin Research Publications
    Abstract

    Introduction. This paper describes how the seminal information seeking behaviour models of Ellis, Meho and Tibbo and Marchionini were used as scaffolds to examine the information search behaviour of users working with a commonly implemented information source in organizations: electronic document and record management systems. Method. A literature review on the information seeking behaviour models was conducted prior to hypothesising the search behaviour of electronic document and record management systems users. Ellis's, Meho and Tibbo's and Marchionini's models were identified as seminal frameworks to consider. A case study method was used to collect the data, using multiple research tools such as interviews, questionnaires and protocol analysis with forty users across four organizations and three different systems. Results. Transcripts of the interviews and protocol analysis of the search processes formed the data for analysis. From the protocol analysis, flow charts for each of the forty users' searches were plotted. Conclusions. The search results supported the hypothesised model and enabled identification of users' search behaviour; thereby contributing to an understanding of knowledge workers' context specific search behaviour.

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