AI-Assisted Searching Through Crowdsourced Solution Space

In crowdsourcing contests, managers have to process hundreds of potential solutions on different topics and from different perspectives. This is resource-intensive, and the cognitive limits of humans are quickly exceeded. Applying contemporary AI-based language models is a promising way to help structure and explore crowdsourcing solutions.

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Year of publication:	2022
Authors:	Wahl, Julian ; Füller, Johann ; Hutter, Katja
Published in:	Marketing Review St.Gallen. - ISSN 1865-7516. - Vol. 39.2022, 6, p. 30-38
Publisher:	St.Gallen : Thexis Verlag

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	hdl:10419/279710 [Handle] RePEc:zbw:hsgmrs:279710 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10014423981