Choosing the right crowdsourcing strategy: Implications for governments' crowdsourcing initiatives.
Building on recent advances in crowdsourcing research, we argue that, when using crowdsourcing, governments should accurately select the crowd they wish to engage with, depending on the problem to be solved. While targeting a large crowd may be common, it is not always the most appropriate: it can w...
| Published in: | Public Administration Review Vol. 85; no. 5; pp. 1302 - 1316 |
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| Main Authors: | , , |
| Format: | Article |
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Wiley-Blackwell
Sep/Oct2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187618153&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187618153 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Sep/Oct2025 vid: 85 iid: 5 pid: 480 pub: Wiley-Blackwell artinfo: ui: 187618153 10.1111/puar.13917 ppf: 1302 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 471KB tig: atl: Choosing the right crowdsourcing strategy: Implications for governments' crowdsourcing initiatives. aug: au: Colovic, Ana Bagherzadeh, Mehdi Liévin, Jean‐Louis affil: NEOMA Business School, Mont Saint Aignan, France NEOMA Business School, Reims, France G.A.C. Group, Issy‐les‐Moulineaux, France su: Crowdsourcing Problem solving Decision making Cost benefit analysis Government programs Expertise Stakeholder analysis sug: subj: Crowdsourcing Problem solving Decision making Cost benefit analysis Government programs Expertise Stakeholder analysis ab: Building on recent advances in crowdsourcing research, we argue that, when using crowdsourcing, governments should accurately select the crowd they wish to engage with, depending on the problem to be solved. While targeting a large crowd may be common, it is not always the most appropriate: it can waste significant resources without necessarily producing satisfactory results. We contend that the nature of the problem should determine the crowdsourcing strategy. We propose a typology of problems based on their scope and technicity: specific nontechnical, specific technical, broad nontechnical, and broad technical. We introduce the main crowdsourcing strategies—fishing, hunting, and collective production—explain the rationale for each, and offer a practitioner's perspective on their costs and benefits. We then discuss how each strategy is suited for solving diverse problems and propose guidelines for governments on using crowdsourcing more effectively. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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