Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests

J. Jason Bell, Christian Pescher, Gerard J. Tellis, Johann Füller

Research output: Contribution to journal › Article › peer-review

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@article{264a5bbced104af4af53ab449ef7b1fa,

title = "Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests",

author = "Bell, {J. Jason} and Christian Pescher and Tellis, {Gerard J.} and Johann F{\"u}ller",

year = "2023",

month = apr,

day = "20",

doi = "10.1287/mksc.2023.1434",

language = "English",

journal = "Marketing Science",

issn = "0732-2399",

publisher = "INFORMS Institute for Operations Research and the Management Sciences",

}

TY - JOUR

T1 - Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests

AU - Bell, J. Jason

AU - Pescher, Christian

AU - Tellis, Gerard J.

AU - Füller, Johann

PY - 2023/4/20

Y1 - 2023/4/20

UR - https://doi.org/10.1287/mksc.2023.1434

U2 - 10.1287/mksc.2023.1434

DO - 10.1287/mksc.2023.1434

M3 - Article

SN - 0732-2399

JO - Marketing Science

JF - Marketing Science

ER -