TY - GEN
T1 - Selecting an effective niche
T2 - 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
AU - Zhu, Haiyi
AU - Chen, Jilin
AU - Matthews, Tara
AU - Pal, Aditya
AU - Badenes, Hernan
AU - Kraut, Robert E.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - Online communities serve various important functions, but many fail to thrive. Research on community success has traditionally focused on internal factors. In contrast, we take an ecological view to understand how the success of a community is influenced by other communities. We measured a community's relationship with other communities-its "niche"-through four dimensions: Topic overlap, shared members, content linking, and shared offline organizational affiliation. We used a mixed-method approach, combining the quantitative analysis of 9495 online enterprise communities and interviews with community members. Our results show that too little or too much overlap in topic with other communities causes a community's activity to suffer. We also show that this main result is moderated in predictable ways by whether the community shares members with, links to content in, or shares an organizational affiliation with other communities. These findings provide new insight on community success, guiding online community designers on how to effectively position their community in relation to others.
AB - Online communities serve various important functions, but many fail to thrive. Research on community success has traditionally focused on internal factors. In contrast, we take an ecological view to understand how the success of a community is influenced by other communities. We measured a community's relationship with other communities-its "niche"-through four dimensions: Topic overlap, shared members, content linking, and shared offline organizational affiliation. We used a mixed-method approach, combining the quantitative analysis of 9495 online enterprise communities and interviews with community members. Our results show that too little or too much overlap in topic with other communities causes a community's activity to suffer. We also show that this main result is moderated in predictable ways by whether the community shares members with, links to content in, or shares an organizational affiliation with other communities. These findings provide new insight on community success, guiding online community designers on how to effectively position their community in relation to others.
KW - Online communities
KW - Success
KW - Topic overlap
KW - Workplace
UR - http://www.scopus.com/inward/record.url?scp=84900423485&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900423485&partnerID=8YFLogxK
U2 - 10.1145/2556288.2557348
DO - 10.1145/2556288.2557348
M3 - Conference contribution
AN - SCOPUS:84900423485
SN - 9781450324731
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 301
EP - 310
BT - CHI 2014
PB - Association for Computing Machinery
Y2 - 26 April 2014 through 1 May 2014
ER -