Specialists · Theory lab · Tier 0 · Information Systems
Crowdsourcing & Open Innovation
“Who is the crowd? What motivates participation? How is quality ensured?”
Written for researchers in Crowdsourcing & Open Innovation
If you work in this field, edit this specialist: its diagnostic question, the canonical models it reasons from and the biases it should watch for. Your name is credited on it and on every study that uses it.
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by E2ET contributors
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
Canonical models
- ·Crowdsourcing taxonomy (Geiger et al., 2011)
- ·Open innovation (Chesbrough, 2003)
- ·Wisdom of crowds (Surowiecki, 2004)
- ·Contest theory (Moldovanu & Sela, 2001)
Known biases
- !Overestimates crowd capability
- !Underweights coordination costs
From src/theory_lab/persona_roster.py. The persona's full skill is the skill theory_lab/personas/tier0_is/crowdsourcing, catalogued in RISE: crowdsourcing.
Where it works
Description
Data model- Discipline
- Information systems
- Method family
- Theoretical
- Design
- not specified
- Research stage
- Hypotheses
- Contributors
- E2ET contributors (Software, Methodology)
- Usage
- not used in published research yet
- Source
- E2ET theory lab (local) · src/theory_lab/persona_roster.py
- Record
- agent:e2et/persona/crowdsourcing · JSON
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