The analytic rewards of materializing the effects of actor-networks

Bibliographic Data

ID2403939
AuthorsMelissa Freeman (0000-0002-5713-8110, University of Georgia, corresponding author)
Year2019
Volume19
Issue4
Pages455-470
Publication date2019-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQualitative Research (JOURNAL)
Journal identifiersISSN: 1468-7941 • E-ISSN: 1741-3109
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1468794118778977
OpenAlexW2805060084
LanguageEN
Citations received2
References cited14

Objects, documents, and concepts play a central role in everyday practice but are often overlooked as active agents in the formation of the social world. Actor-Network Theory (ANT) is a sociological method that helps make visible what humans and nonhumans in association do or accomplish. It is an analytical approach that examines how human and nonhuman entities co-construct dynamic and influential networks of associations, and the effects produced as a result of these networks. This paper provides an introduction to ANT, illustrates its application through a case example, and concludes with a description of its analytic rewards

Actor–network theory · Cognitive science · Data science · Economics · Epistemology · Knowledge management · Management science · Social science · Sociology · Computer Science · Global and Cross-Cultural Management · Management and Organizational Studies · Organizational Strategy and Culture · Psychology

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