Can a Computer Vision Algorithm Predict New Product Adoption?

We examine whether machine learning can predict the success of new crowdfunding ventures based on innovative design. Results from two field studies on Kickstarter and Indiegogo show that a computer vision API that mirrors the human capacity to efficiently categorize objects predicts project success.



Citation:

Ethan Pancer, Theodore Noseworthy, and Maxwell Poole (2018) ,"Can a Computer Vision Algorithm Predict New Product Adoption?", in E - European Advances in Consumer Research Volume 11, eds. Maggie Geuens, Mario Pandelaere, and Michel Tuan Pham, Iris Vermeir, Duluth, MN : Association for Consumer Research, Pages: 222-223.

Authors

Ethan Pancer, Saint Mary’s University, Canada
Theodore Noseworthy, Schulich School of Business, York University, Canada
Maxwell Poole, Saint Mary’s University, Canada



Volume

E - European Advances in Consumer Research Volume 11 | 2018



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