Behaviour analysis across different types of enterprise online communities

Matthew Rowe, Miriam Fernandez, Harith Alani, Inbal Ronen, Conor Hayes, Marcel Karnstedt

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

8 Citations (Scopus)

Abstract

Online communities in the enterprise are designed to fulfil some economic purpose, for example for supporting products or enabling work-collaboration between knowledge workers. The intentions of such communities allow them to be labelled based on their type - i.e. communities of practice, team communities, technical support communities, etc. Despite the disparate nature and explicit intention of community types, little is known of how the types differ in terms of a) the participation and activity, and b) the behaviour of community users. Such insights could provide community managers with an understanding of normality and a diagnosis of healthiness in their community, given its type and corresponding user needs. In this paper, we present an empirical analysis of community types from the enterprise social software system IBM Connections. We assess the micro (userlevel) and macro (community-level) characteristics of differing community types and identify key differences in the behaviour that users exhibit in these communities. We further qualify our empirical findings with user questionnaires by identifying links between the objectives of the users and the characteristics of the community types.

Original languageEnglish
Title of host publicationProceedings of the 4th Annual ACM Web Science Conference, WebSci'12
Publisher Association for Computing Machinery
Pages255-264
Number of pages10
ISBN (Print)9781450312288
DOIs
Publication statusPublished - 2012
Event4th Annual ACM Web Science Conference, WebSci 2012 - Evanston, IL, United States
Duration: 22 Jun 201224 Jun 2012

Publication series

NameProceedings of the 4th Annual ACM Web Science Conference, WebSci'12
Volumevolume

Conference

Conference4th Annual ACM Web Science Conference, WebSci 2012
Country/TerritoryUnited States
CityEvanston, IL
Period22/06/1224/06/12

Keywords

  • Community analysis
  • Enterprise communities
  • User behaviour
  • Web science

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