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Modeling the information‐seeking behavior of social scientists: Ellis's study revisited

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  • Lokman I. Meho
  • Helen R. Tibbo

Abstract

This paper revises David Ellis's information‐seeking behavior model of social scientists, which includes six generic features: starting, chaining, browsing, differentiating, monitoring, and extracting. The paper uses social science faculty researching stateless nations as the study population. The description and analysis of the information‐seeking behavior of this group of scholars is based on data collected through structured and semi‐structured electronic mail interviews. Sixty faculty members from 14 different countries were interviewed by e‐mail. For reality check purposes, face‐to‐face interviews with five faculty members were also conducted. Although the study confirmed Ellis's model, it found that a fuller description of the information‐seeking process of social scientists studying stateless nations should include four additional features besides those identified by Ellis. These new features are: accessing, networking, verifying, and information managing. In view of that, the study develops a new model, which, unlike Ellis's, groups all the features into four interrelated stages: searching, accessing, processing, and ending. This new model is fully described and its implications on research and practice are discussed. How and why scholars studied here are different than other academic social scientists is also discussed.

Suggested Citation

  • Lokman I. Meho & Helen R. Tibbo, 2003. "Modeling the information‐seeking behavior of social scientists: Ellis's study revisited," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 570-587, April.
  • Handle: RePEc:bla:jamist:v:54:y:2003:i:6:p:570-587
    DOI: 10.1002/asi.10244
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    Cited by:

    1. Vera Granikov & Reem El Sherif & France Bouthillier & Pierre Pluye, 2022. "Factors and outcomes of collaborative information seeking: A mixed studies review with a framework synthesis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(4), pages 542-560, April.
    2. Georgiou, Andrew & Makri, Stephann, 2015. "How local government policy workers use information: An interview study and design recommendations," International Journal of Information Management, Elsevier, vol. 35(4), pages 472-489.
    3. Reijo Savolainen & Leslie Thomson, 2022. "Assessing the theoretical potential of an expanded model for everyday information practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(4), pages 511-527, April.

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