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A cognitive model of document use during a research project. Study I. Document selection

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  • Peiling Wang
  • Dagobert Soergel

Abstract

This article proposes a model of document selection by real users of a bibliographic retrieval system. It reports on Part 1 of a longitudinal study of decision making on document use by academics during an actual research project. (Part 2 followed up the same users on how the selected documents were actually used in subsequent stages.) The participants are 25 self‐selected faculty and graduate students in Agricultural Economics. After a reference interview, the researcher conducted a search of DIALOG databases and prepared a printout. The users selected documents from this printout; they were asked to read and think aloud while selecting documents. Their verbal reports were recorded and analyzed from a utility‐theoretic perspective. The following model of the decision‐making in the selection process emerged: document information elements (DIEs) in document records provide the information for judging documents on 11 criteria (including topicality, orientation, quality, novelty, and authority); the criteria judgments are combined in an assessment of document value along five dimensions (epistemic, functional, conditional, social, and emotional values), leading to the use decision. This model accounts for the use of personal knowledge and decision strategies applied in the selection process. The model has implications for the design of an intelligent document selection assistant. © 1998 John Wiley & Sons, Inc.

Suggested Citation

  • Peiling Wang & Dagobert Soergel, 1998. "A cognitive model of document use during a research project. Study I. Document selection," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(2), pages 115-133, February.
  • Handle: RePEc:bla:jamest:v:49:y:1998:i:2:p:115-133
    DOI: 10.1002/(SICI)1097-4571(199802)49:23.0.CO;2-T
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    Cited by:

    1. Antonina Dattolo & Marco Corbatto, 2022. "Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 757-776, June.
    2. Honglin Bao & Misha Teplitskiy, 2024. "A simulation-based analysis of the impact of rhetorical citations in science," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Yu Chi & Daqing He & Wei Jeng, 2020. "Laypeople's source selection in online health information‐seeking process," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(12), pages 1484-1499, December.
    4. Aurora González-Teruel & Gregorio González-Alcaide & Maite Barrios & María-Francisca Abad-García, 2015. "Mapping recent information behavior research: an analysis of co-authorship and co-citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 687-705, May.
    5. Kai Nishikawa, 2023. "How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2975-2997, May.
    6. Teplitskiy, Misha & Duede, Eamon & Menietti, Michael & Lakhani, Karim R., 2022. "How status of research papers affects the way they are read and cited," Research Policy, Elsevier, vol. 51(4).
    7. Juan Xie & Hongru Lu & Lele Kang & Ying Cheng, 2022. "Citing criteria and its effects on researcher's intention to cite: A mixed‐method study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1079-1091, August.
    8. Xiaoli Huang & Dagobert Soergel, 2013. "Relevance: An improved framework for explicating the notion," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 18-35, January.
    9. Ling-Ling Wu & Mu-Hsuan Huang & Ching-Yi Chen, 2012. "Citation patterns of the pre-web and web-prevalent environments: The moderating effects of domain knowledge," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2182-2194, November.
    10. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
    11. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    12. Yunxue Cui & Yongzhen Wang & Xiaozhong Liu & Xianwen Wang & Xuhong Zhang, 2023. "Multidimensional scholarly citations: Characterizing and understanding scholars' citation behaviors," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 115-127, January.

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