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

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

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: Jan 18, 2023
• 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