TY - GEN
T1 - Behaviour analysis across different types of enterprise online communities
AU - Rowe, Matthew
AU - Fernandez, Miriam
AU - Alani, Harith
AU - Ronen, Inbal
AU - Hayes, Conor
AU - Karnstedt, Marcel
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Community analysis
KW - Enterprise communities
KW - User behaviour
KW - Web science
UR - https://www.scopus.com/pages/publications/84869029970
U2 - 10.1145/2380718.2380752
DO - 10.1145/2380718.2380752
M3 - Conference Publication
SN - 9781450312288
T3 - Proceedings of the 4th Annual ACM Web Science Conference, WebSci'12
SP - 255
EP - 264
BT - Proceedings of the 4th Annual ACM Web Science Conference, WebSci'12
PB - Association for Computing Machinery
T2 - 4th Annual ACM Web Science Conference, WebSci 2012
Y2 - 22 June 2012 through 24 June 2012
ER -