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Assessing the theoretical potential of an expanded model for everyday information practices

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  • Reijo Savolainen
  • Leslie Thomson

Abstract

The present study contributes to the development of integrated models for information behavior and practices at the domain‐specific level. To this end, the model for everyday information practices proposed by Savolainen in 2008 is enhanced by integrating the element of information creating, based on Thomson's recent 2018 study. The integration resulted in the expanded model for everyday information practices. Using conceptual analysis, the above model was examined in light of conventional (positivist and post‐positivist) and interpretive (social constructivist) criteria for theory assessment. The findings suggest that the integrated model meets best the interpretive criteria such as meaningfulness and understandability, mutuality of concepts and descriptive logic, empirical verifiability, and usefulness. In contrast, theoretical potential of the model is fairly limited when weighed against the conventional criteria, such as generalization and prediction. Overall, the findings suggest that, in its current form, the expanded model cannot be regarded as a “genuine theory” of everyday information practices. However, the model does incorporate many of the qualities characteristic of social scientific theories, and thus exhibits considerable theoretical potential. This is even more so if the interpretive, naturalistic basis of the data in which the expanded model is based is considered.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jinfst:v:73:y:2022:i:4:p:511-527
    DOI: 10.1002/asi.24589
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    References listed on IDEAS

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    5. 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.
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    Cited by:

    1. Ciaran B. Trace & Yan Zhang & Siqi Yi & Marian Yvette Williams‐Brown, 2023. "Information practices around genetic testing for ovarian cancer patients," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(11), pages 1265-1281, November.
    2. Dr. Saima Hanif & Dr. Nosheen Fatima Warraich, 2023. "The Demographic Effect on Information Practices of Pakistan’s Urban Youth," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 699-705.

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