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Savolainen, R.: Information need as trigger and driver of information seeking : a conceptual analysis (2017)
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- 20. 1.2015 18:30:22
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Savolainen, R.: Modeling the interplay of information seeking and information sharing (2019)
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- 20. 1.2015 18:30:22
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Savolainen, R.: Information use as gap-bridging : the viewpoint of sense-making methodology (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.1116-1125
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Savolainen, R.: Information source horizons and source preferences of environmental activists : a social phenomenological approach (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1709-1719
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Savolainen, R.: ¬The structure of argument patterns on a social Q&A site (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2536-2548
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Savolainen, R.: Contributions to conceptual growth : the elaboration of Ellis's model for information-seeking behavior (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.3, S.594-608
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Savolainen, R.: Information-seeking processes as temporal developments : comparison of stage-based and cyclic approaches (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.6, S.787-797
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Savolainen, R.: Interpreting informational cues : an explorative study on information use among prospective homebuyers (2009)
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- Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2244-2254
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Savolainen, R.: Judging the quality and credibility of information in Internet discussion forums (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1243-1256
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Savolainen, R.: Providing informational support in an online discussion group and a Q&A site : the case of travel planning (2015)
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- Journal of the Association for Information Science and Technology. 66(2015) no.3, S.450-461
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Savolainen, R.: ¬The interplay of affective and cognitive factors in information seeking and use : comparing Kuhlthau's and Nahl's models (2015)
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- Abstract
- Purpose - The purpose of this paper is to elaborate the conceptual picture of the relationships between the affective and cognitive factors in information seeking and use. Design/methodology/approach - Conceptual analysis focusing on the ways in which the affective and cognitive factors and their interplay are approached in the Information Search Process model developed by Carol Kuhlthau, and the Social-Biological Information Technology model elaborated by Diane Nahl. Findings - Kuhlthau's model approaches the cognitive factors (thoughts) and affective factors (feelings) and affective-cognitive factors (mood) as integral constituents of the six-stage information search process. Thoughts determine the valence of feelings (positive or negative), while mood opens or closes the range of possibilities in a search. Nahl's taxonomic model defines the affective and cognitive factors as components of a biologically determined process serving the ends of adaptation to information ecology. The interplay of the above factors is conceptualized by focusing on their mutual roles in the cognitive and affective appraisal of information. Research limitations/implications - The findings are based on the comparison of two models only. Originality/value - So far, information scientists have largely ignored the study of the interplay between affective and cognitive factors in information seeking and use. The findings indicate that the examination of these factors together rather than separately holds a good potential to elaborate the holistic picture of information seeking and use.
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Heinström, J.; Sormunen, E.; Savolainen, R.; Ek, S.: Developing an empirical measure of everyday information mastering (2020)
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- Journal of the Association for Information Science and Technology. 71(2020) no.7, S.729-741
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Savolainen, R.; Thomson, L.: Assessing the theoretical potential of an expanded model for everyday information practices (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.4, S.511-527
