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From Groups to Communities: A Resource Mobilization Theory Perspective on the Emergence of Communities

Angelopoulos, Spyros; Canhilal, S.K.; Hawkins, Matthew A.

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Authors

S.K. Canhilal

Matthew A. Hawkins



Abstract

Groups and communities have been key topics in the information systems (IS) research agenda. While communities are assumed to emerge at the intersection of overlapping groups and their practices, prior research has mainly focused on their dynamics and evolution. This has resulted to limited empirical support regarding the emergence of communities. We address that lacuna by tracing the emergence of communities through the prism of resource mobilization theory. In doing so, we make use of a unique longitudinal dataset and incorporate Topic Modelling, Bipartite Network Analysis, and Community Detection. We show that new communities are formed at the intersection of overlapping groups and practices. In addition, we contribute to the IS literature by demonstrating that their emergence occurs due to resource mobilization that gives rise to a shared mindset. We also reveal that multiple resources are incorporated into the practices of an emerging community. By combining large datasets and innovative computational approaches, we help IS theory and practice to move away from traditional "what" questions towards the more insightful "how" ones. We discuss the theoretical and practical implications of our work and delineate an agenda for future research on the topic.

Citation

Angelopoulos, S., Canhilal, K. S., Canhilal, S., & Hawkins, M. A. (2023). From Groups to Communities: A Resource Mobilization Theory Perspective on the Emergence of Communities. Information Systems Frontiers, 25(6), 2457-2474. https://doi.org/10.1007/s10796-023-10368-8

Journal Article Type Article
Acceptance Date Jan 2, 2023
Online Publication Date Jan 17, 2023
Publication Date Dec 1, 2023
Deposit Date Jan 2, 2023
Publicly Available Date Mar 28, 2024
Journal Information Systems Frontiers
Print ISSN 1387-3326
Electronic ISSN 1572-9419
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 25
Issue 6
Pages 2457-2474
DOI https://doi.org/10.1007/s10796-023-10368-8
Keywords Community detection, Bipartite network, Community emergence, Latent Dirichlet allocation, Network analysis, Resource mobilization theory topic modelling
Public URL https://durham-repository.worktribe.com/output/1182860

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.






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