Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests.
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| Title: | Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests. |
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| Authors: | Bell, J. Jason1 jason.bell@sbs.ox.ac.uk, Pescher, Christian2 cpescher@uandes.cl, Tellis, Gerard J.3 tellis@usc.edu, Füller, Johann4 johann.fueller@uibk.ac.at |
| Source: | Marketing Science (INFORMS). Jan/Feb2024, Vol. 43 Issue 1, p54-72. 19p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 174880994 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1287/mksc.2023.1434 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 54 Titles: – TitleFull: Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bell, J. Jason – PersonEntity: Name: NameFull: Pescher, Christian – PersonEntity: Name: NameFull: Tellis, Gerard J. – PersonEntity: Name: NameFull: Füller, Johann IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 07322399 Numbering: – Type: volume Value: 43 – Type: issue Value: 1 Titles: – TitleFull: Marketing Science (INFORMS) Type: main |
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