Affective Mechanisms in Microlending Decisions: Using Internet Data and Neuroimaging to Predict Market-Level Behavior

Research has not established which neuropsychological mechanisms support microlending decisions, nor whether their influence extends to markets involving significant financial incentives. In two studies, using a large internet dataset and neuroimaging methods (fMRI), we demonstrate that neural affective mechanisms predict microloan request success at both the group and market-level.



Citation:

Alexander Genevsky and Brian Knutson (2015) ,"Affective Mechanisms in Microlending Decisions: Using Internet Data and Neuroimaging to Predict Market-Level Behavior", in NA - Advances in Consumer Research Volume 43, eds. Kristin Diehl , Carolyn Yoon, and , Duluth, MN : Association for Consumer Research, Pages: 170-175.

Authors

Alexander Genevsky, Stanford University, USA
Brian Knutson, Stanford University, USA



Volume

NA - Advances in Consumer Research Volume 43 | 2015



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