Augmenting Ideation: Evaluating the Impact of Large Language Models on Idea Generation for Sustainable Incentive Schemes

Additional Metadata
Keywords	Artificial Intelligence, Large Language Models, Innovation Management, Idea Generation, ChatGPT, Sustainability, Experiment
Thesis Advisor	Gabel, Sebastian, Yilmaz, Erdem
Persistent URL	hdl.handle.net/2105/71347
Series	International Management CEMS
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Schmäing, Malte. (2024, February 29). Augmenting Ideation: Evaluating the Impact of Large Language Models on Idea Generation for Sustainable Incentive Schemes. International Management CEMS. Retrieved from http://hdl.handle.net/2105/71347

Publication