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A cognitive model of document use during a research project. Study II. Decisions at the reading and citing stages

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  • Peiling Wang
  • Marilyn Domas White

Abstract

This article reports on the follow‐up study of a two‐part project designed to study the decision‐making process underlying how academic researchers select documents retrieved from online databases, consult or read, and cite documents during a research project. The participants are 15 of the 25 agricultural economics users who participated in the original study of document‐selection conducted in 1992. They were interviewed about subsequent decisions on documents considered relevant and selected in 1992, as well as documents cited in their written products but not in the original searches. Of particular interest in this article are the decision criteria and rules they apply to documents as they progress through the project. The first study in 1992 emphasized the selection processes and resulted in a document selection model; the 1995 study concentrates on the reading and citing decisions. The model derived from this project shows document use as a decision‐making process with decisions occurring at three points or stages during a research project: selecting, reading, and citing. It is an expansion of the document selection model developed in the 1992 study, identifies more criteria, and clarifies the criteria and rules that are in use at each stage. The follow‐up study not only found that all but one of the criteria identified in selection re‐occur in connection with reading and citing decisions, but also identified 14 new criteria. It also found that decision rules applied in selection decisions are applied throughout the project.

Suggested Citation

  • Peiling Wang & Marilyn Domas White, 1999. "A cognitive model of document use during a research project. Study II. Decisions at the reading and citing stages," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 98-114.
  • Handle: RePEc:bla:jamest:v:50:y:1999:i:2:p:98-114
    DOI: 10.1002/(SICI)1097-4571(1999)50:23.0.CO;2-L
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    Cited by:

    1. 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.
    2. Rayanne Barros Setubal & Daniel Silva Farias & Clarice Casa Nova & Anna Carolina Fornero Aguiar & Tauany Aparecida Silva Santa Rosa Rodrigues & Rafael Teixeira Santos Lira & Anderson Luiz Vargas Ferre, 2022. "Microwave effect: analyzing citations from classic theories and their reinventions—a case study from a classic paper in aquatic ecology—Brooks & Dodson, 1965," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4751-4767, August.
    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. 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.
    5. 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.
    6. Wang, Peiling & Su, Jing, 2021. "Post-publication expert recommendations in faculty opinions (F1000Prime): Recommended articles and citations," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Nigel Harwood, 2008. "Publication outlets and their effect on academic writers’ citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 253-265, November.
    8. Katherine W. McCain, 2014. "Assessing obliteration by incorporation in a full-text database: JSTOR, Economics, and the concept of “bounded rationality”," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1445-1459, November.
    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. Mee-Jean Kim, 2002. "Citation patterns of Korean physicists and mechanical engineers: Differences by type of publication source and type of authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 421-436, November.
    11. Peiling Wang & Joshua Williams & Nan Zhang & Qiang Wu, 2020. "F1000Prime recommended articles and their citations: an exploratory study of four journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 933-955, February.
    12. 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.
    13. Lanu Kim & Jason H. Portenoy & Jevin D. West & Katherine W. Stovel, 2020. "Scientific journals still matter in the era of academic search engines and preprint archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1218-1226, October.
    14. 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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