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

Spyros Angelopoulos, Kubra Canhilal () and Matthew Hawkins ()
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Spyros Angelopoulos: RO - Recherche Opérationnelle - LIP6 - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique
Kubra Canhilal: ISG - ISG International Business School [Paris]
Matthew Hawkins: ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine

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Abstract: 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.

Keywords: Community emergence; Resource mobilization theory topic modelling; Latent Dirichlet allocation; Network analysis; Community detection; Bipartite network (search for similar items in EconPapers)
Date: 2023-01-17
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Citations: View citations in EconPapers (1)

Published in Information Systems Frontiers, 2023, 18 p. ⟨10.1007/s10796-023-10368-8⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04057372

DOI: 10.1007/s10796-023-10368-8

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