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Cited by 781

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Sense‐making theory and practice: an overview of user interests in knowledge seeking and use

Dervin, Brenda·1998·Journal of Knowledge Management

Abstract

The Sense‐making approach to studying and understanding users and designing systems to serve their needs is reviewed. The approach, developed to focus on user sense making and sense unmaking in the fields of communication and library and information science, is reviewed in terms of its implications for knowledge management. Primary emphasis is placed on moving conceptualizations of users, information and reality from the noun‐based knowledge‐as‐map frameworks of the past to verb‐based frameworks emphasizing diversity, complexity and sense‐making potentials. Knowledge management is described as a field on the precipice of chaos, reaching for a means of emphasizing diversity, complexity and people over centrality, simplicity and technology. Sense making, as an approach, is described as a methodology disciplining the cacophony of diversity and complexity without homogenizing it. Knowledge is reconceptualized from noun to verb.

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Metadata

Authors
Dervin, B.
Venue
Journal of Knowledge Management
Publisher
Emerald
Published
1998-12-01
Volume
2
Issue
2
Pages
36-46
ISSN
1367-3270 (ISSN-L)
OpenAlex
W1989462999
Cited by
781
References
22
FWCI
1.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sense‐making theory and practice: an overview of user interests in knowledge seeking and use. https://app.cochat.ai/papers/10.1108/13673279810249369
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Dervin, B. (1998). Sense‐making theory and practice: an overview of user interests in knowledge seeking and use. Journal of Knowledge Management. https://doi.org/10.1108/13673279810249369

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.