TY - GEN
T1 - Measuring the crowd - A preliminary taxonomy of crowdsourcing metrics
AU - Cullina, Eoin
AU - Conboy, Kieran
AU - Morgan, Lorraine
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/8/19
Y1 - 2015/8/19
N2 - Crowdsourcing initiatives benefit from tapping into diversity. A vast plethora of disparate individuals, organizations, frameworks and skillsets can all play a role in sourcing solutions to a challenge. Nevertheless, while crowdsourcing has become a pervasive phenomenon, there is a paucity of research that addresses how the crowdsourcing process is measured. Whereas research has advanced various taxonomies of crowdsourcing none to date have specifically addressed the issue of measuring either specific stages of the crowdsourcing process or the process as a whole. As a first step towards achieving this goal, this research-inprogress paper examines crowdsourcing at the operational level with a view towards (i) identifying the parts of the process (ii) identifying what can be measured and (iii) categorising operational metrics to facilitate deployment in practice. The taxonomy advanced is overarching in nature and can be deployed across disciplines. Furthermore, the preliminary taxonomy presented will offer practitioners a comprehensive list of metrics that will enable them to facilitate comparison across various crowdsourcing initiatives.
AB - Crowdsourcing initiatives benefit from tapping into diversity. A vast plethora of disparate individuals, organizations, frameworks and skillsets can all play a role in sourcing solutions to a challenge. Nevertheless, while crowdsourcing has become a pervasive phenomenon, there is a paucity of research that addresses how the crowdsourcing process is measured. Whereas research has advanced various taxonomies of crowdsourcing none to date have specifically addressed the issue of measuring either specific stages of the crowdsourcing process or the process as a whole. As a first step towards achieving this goal, this research-inprogress paper examines crowdsourcing at the operational level with a view towards (i) identifying the parts of the process (ii) identifying what can be measured and (iii) categorising operational metrics to facilitate deployment in practice. The taxonomy advanced is overarching in nature and can be deployed across disciplines. Furthermore, the preliminary taxonomy presented will offer practitioners a comprehensive list of metrics that will enable them to facilitate comparison across various crowdsourcing initiatives.
KW - Crowdsourcing
KW - Metrics
KW - Taxonomy generation
UR - http://www.scopus.com/inward/record.url?scp=84963612977&partnerID=8YFLogxK
U2 - 10.1145/2788993.2789841
DO - 10.1145/2788993.2789841
M3 - Conference contribution
AN - SCOPUS:84963612977
T3 - Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015
BT - Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015
PB - Association for Computing Machinery, Inc
T2 - 11th International Symposium on Open Collaboration, OPENSYM 2015
Y2 - 19 August 2015 through 21 August 2015
ER -