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Information behavior and decision making in time‐constrained practice: A dual‐processing perspective

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  • David Allen

Abstract

This article reviews results from a research project designed to understand the mediating influence of information technology on information behavior. During the analysis of the data, five modes of information behavior were uncovered. These provide us with a reconceptualization of core information‐seeking and search activities, as well as a fruitful opening to redevelop, augment, or complement existing models of information behavior. The findings resonate with emerging theories of decision making and judgement and illustrate the need for information behavior researchers to undertake research in differing contexts. The work illuminates an issue of current concern for public policy: police use of information in decision making.

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  • David Allen, 2011. "Information behavior and decision making in time‐constrained practice: A dual‐processing perspective," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2165-2181, November.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:11:p:2165-2181
    DOI: 10.1002/asi.21601
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    Cited by:

    1. Caiwei Ma & Norman Au & Lianping Ren, 0. "Biased minds experience improved decision-making speed and confidence on social media: a heuristic approach," Information Technology & Tourism, Springer, vol. 0, pages 1-32.
    2. Frederick Owusu-Boakye & Abednego Kofi Bansah & Justice Armah, 2022. "Perceptions of the Usage of WhatsApp for Instruction: A Study of Teachers in Senior High Schools in Ghana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(1), pages 65-75, January.
    3. Franklin Riley & David K. Allen & Thomas Daniel Wilson, 2022. "When politicians and the experts collide: Organization and the creation of information spheres," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1127-1139, August.
    4. Ashraf Labib & Salem Chakhar & Lorraine Hope & John Shimell & Mark Malinowski, 2022. "Analysis of noise and bias errors in intelligence information systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1755-1775, December.
    5. Ben Krishna & Anindita Paul, 2020. "Collaborative information behaviour during epidemics: The case of Nipah outbreak in Southern India," Working papers 367, Indian Institute of Management Kozhikode.
    6. Jannica Heinström & Eero Sormunen & Reijo Savolainen & Stefan Ek, 2020. "Developing an empirical measure of everyday information mastering," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 729-741, July.
    7. Caiwei Ma & Norman Au & Lianping Ren, 2020. "Biased minds experience improved decision-making speed and confidence on social media: a heuristic approach," Information Technology & Tourism, Springer, vol. 22(4), pages 593-624, December.
    8. Jeanette Carlsson Hauff, 2022. "The impact of knowledge on labeling schemes promoting sustainable investing," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 2839-2853, November.

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