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The seventeen theoretical constructs of information searching and information retrieval

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  • Bernard J. Jansen
  • Soo Young Rieh

Abstract

In this article, we identify, compare, and contrast theoretical constructs for the fields of information searching and information retrieval to emphasize the uniqueness of and synergy between the fields. Theoretical constructs are the foundational elements that underpin a field's core theories, models, assumptions, methodologies, and evaluation metrics. We provide a framework to compare and contrast the theoretical constructs in the fields of information searching and information retrieval using intellectual perspective and theoretical orientation. The intellectual perspectives are information searching, information retrieval, and cross‐cutting; and the theoretical orientations are information, people, and technology. Using this framework, we identify 17 significant constructs in these fields contrasting the differences and comparing the similarities. We discuss the impact of the interplay among these constructs for moving research forward within both fields. Although there is tension between the fields due to contradictory constructs, an examination shows a trend toward convergence. We discuss the implications for future research within the information searching and information retrieval fields.

Suggested Citation

  • Bernard J. Jansen & Soo Young Rieh, 2010. "The seventeen theoretical constructs of information searching and information retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1517-1534, August.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:8:p:1517-1534
    DOI: 10.1002/asi.21358
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    Cited by:

    1. Barbara Mirel & Jennifer Steiner Tonks & Jean Song & Fan Meng & Weijian Xuan & Rafiqa Ameziane, 2013. "Studying PubMed usages in the field for complex problem solving: Implications for tool design," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 874-892, May.
    2. Ian Ruthven, 2021. "Resonance and the experience of relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 554-569, May.
    3. Fereshteh Ghahramani & Jingguo Wang, 0. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    4. Adan Ortiz-Cordova & Bernard J. Jansen, 2012. "Classifying web search queries to identify high revenue generating customers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1426-1441, July.
    5. Neal R. Haddaway & Melissa L. Rethlefsen & Melinda Davies & Julie Glanville & Bethany McGowan & Kate Nyhan & Sarah Young, 2022. "A suggested data structure for transparent and repeatable reporting of bibliographic searching," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(4), December.
    6. Benjamin Sturm & Ali Sunyaev, 2019. "Design Principles for Systematic Search Systems: A Holistic Synthesis of a Rigorous Multi-cycle Design Science Research Journey," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(1), pages 91-111, February.
    7. Fereshteh Ghahramani & Jingguo Wang, 2020. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 22(6), pages 1275-1290, December.

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