Affective Factors in Human Information Behavior: A Conceptual Analysis of Interdisciplinary Research on Information Behavior Cover Image

Affective Factors in Human Information Behavior: A Conceptual Analysis of Interdisciplinary Research on Information Behavior
Affective Factors in Human Information Behavior: A Conceptual Analysis of Interdisciplinary Research on Information Behavior

Author(s): Monika Krakowska
Subject(s): Library and Information Science
Published by: Wydawnictwa Uniwersytetu Warszawskiego
Keywords: Affective paradigm; Emotions; Information behavior; Interdisciplinary approach; Psychology of emotions; Qualitative analysis;Qualitative content analysis;

Summary/Abstract: Purpose/Thesis: The article contains theoretical and conceptual reflection and analysis of how emotions and other affective phenomena are defined and understood in contemporary research on human information behavior. The article draws attention to the interdisciplinary nature of research into affective information activities. Approach/Methods: The reported research employs a qualitative approach, relying on critical literature review, and conceptual and thematic analysis. The analyzed material came from select publications from 2014–2020. Results and Conclusions: Information science studies the role of emotions in information behavior. However, the application of the affective paradigm remains very limited. The affective understanding of information activities should be constantly expanded on an interdisciplinary basis with reference to theories and methods of other disciplines, such as psychology. Originality/Value: The article studies the development of the theoretical affective phenomenon pa­radigm and presents the most important approaches psychology takes to emotions. By analyzing the latest trends in the study of affective information behaviors, the study joins the collaborative effort to develop an agenda providing a theoretical and practical basis for the development of interdisciplinary research within the affective paradigm.

  • Issue Year: 58/2020
  • Issue No: 1A (115A)
  • Page Range: 75-95
  • Page Count: 21
  • Language: English