Abstract
A key characteristic of online communities is the fast turnover of their membership. Because online communities rely on voluntary member contribution to survive and succeed, member turnover can have important implications on the resource availability and the health of a community. However, empirical research on the effects of member turnover in online communities is rare. Most research assumes that slower turnover and higher retention are positively associated with community outcomes, without directly testing that assumption. A few studies have challenged this view and suggested that turnover can be beneficial in certain conditions. In this study, we contribute to the understanding of member turnover in online communities by systematically examining the relationship between member turnover and multiple dimensions of community health. The results will offer practical implications to online community managers on whether and when to retain member in their communities.
Recommended Citation
Wang, Xiaoqing and Lantzy, Shannon, "A Systematic Examination of Member Turnover and Online Community Health" (2011). ICIS 2011 Proceedings. 25.
https://aisel.aisnet.org/icis2011/proceedings/onlinecommunity/25
A Systematic Examination of Member Turnover and Online Community Health
A key characteristic of online communities is the fast turnover of their membership. Because online communities rely on voluntary member contribution to survive and succeed, member turnover can have important implications on the resource availability and the health of a community. However, empirical research on the effects of member turnover in online communities is rare. Most research assumes that slower turnover and higher retention are positively associated with community outcomes, without directly testing that assumption. A few studies have challenged this view and suggested that turnover can be beneficial in certain conditions. In this study, we contribute to the understanding of member turnover in online communities by systematically examining the relationship between member turnover and multiple dimensions of community health. The results will offer practical implications to online community managers on whether and when to retain member in their communities.