2018
DOI: 10.1080/10447318.2018.1465325
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User Roles in Online Communities and Their Moderating Effect on Online Community Usage Intention: An Integrated Approach

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Cited by 36 publications
(28 citation statements)
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“…The most active members are associated with the sharing (rather than seeking) of knowledge, while ‘common’ members are behind the most common knowledge activation types, and the older community members are connected to the more involved knowledge creation patterns (on issues of concern). We add to the literature on roles within autonomous online communities (Akar et al, 2018; Kozinets, 1999; Mathwick et al, 2008) by connecting community membership duration and intensity to different contributions to collective knowledge within the community.…”
Section: Discussionmentioning
confidence: 99%
“…The most active members are associated with the sharing (rather than seeking) of knowledge, while ‘common’ members are behind the most common knowledge activation types, and the older community members are connected to the more involved knowledge creation patterns (on issues of concern). We add to the literature on roles within autonomous online communities (Akar et al, 2018; Kozinets, 1999; Mathwick et al, 2008) by connecting community membership duration and intensity to different contributions to collective knowledge within the community.…”
Section: Discussionmentioning
confidence: 99%
“…Par ailleurs, les membres plus anciens de la communauté sont liés aux modèles de création de connaissances autour de sujets de préoccupation. Nous contribuons à la littérature sur les rôles au sein des communautés en ligne autonomes (Akar et al, 2018; Kozinets, 1999; Mathwick et al, 2008) en reliant la durée et l’intensité de l’appartenance à la communauté à différentes contributions aux connaissances collectives au sein de la communauté.…”
Section: Discussionunclassified
“…The methodology of the study includes five steps (Akar et al, 2018). The first three steps show how the network was designed.…”
Section: Methodsmentioning
confidence: 99%
“…However, the fast-greedy algorithm divides the whole network into four subcommunities with the modularity of 0.1952174 (Akar et al, 2018). The first subcommunity includes 4,611 members, the second one involves 17,444 members, the third one consists of 6,594 members, and the last subcommunity includes only 66 members.…”
Section: Community Detectionmentioning
confidence: 99%