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Neural Affective Mechanisms Predict Market-Level Microlending

Humans sometimes share with others whom they may never meet or know, in violation of the dictates of pure self-interest. Research has not established which neuropsychological mechanisms support lending decisions, nor whether their influence extends to markets involving significant financial incentiv...

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Detalles Bibliográficos
Autores principales: Genevsky, Alexander, Knutson, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570982/
https://www.ncbi.nlm.nih.gov/pubmed/26187248
http://dx.doi.org/10.1177/0956797615588467
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author Genevsky, Alexander
Knutson, Brian
author_facet Genevsky, Alexander
Knutson, Brian
author_sort Genevsky, Alexander
collection PubMed
description Humans sometimes share with others whom they may never meet or know, in violation of the dictates of pure self-interest. Research has not established which neuropsychological mechanisms support lending decisions, nor whether their influence extends to markets involving significant financial incentives. In two studies, we found that neural affective mechanisms influence the success of requests for microloans. In a large Internet database of microloan requests (N = 13,500), we found that positive affective features of photographs promoted the success of those requests. We then established that neural activity (i.e., in the nucleus accumbens) and self-reported positive arousal in a neuroimaging sample (N = 28) predicted the success of loan requests on the Internet, above and beyond the effects of the neuroimaging sample’s own choices (i.e., to lend or not). These findings suggest that elicitation of positive arousal can promote the success of loan requests, both in the laboratory and on the Internet. They also highlight affective neuroscience’s potential to probe neuropsychological mechanisms that drive microlending, enhance the effectiveness of loan requests, and forecast market-level behavior.
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spelling pubmed-45709822015-09-30 Neural Affective Mechanisms Predict Market-Level Microlending Genevsky, Alexander Knutson, Brian Psychol Sci Research Articles Humans sometimes share with others whom they may never meet or know, in violation of the dictates of pure self-interest. Research has not established which neuropsychological mechanisms support lending decisions, nor whether their influence extends to markets involving significant financial incentives. In two studies, we found that neural affective mechanisms influence the success of requests for microloans. In a large Internet database of microloan requests (N = 13,500), we found that positive affective features of photographs promoted the success of those requests. We then established that neural activity (i.e., in the nucleus accumbens) and self-reported positive arousal in a neuroimaging sample (N = 28) predicted the success of loan requests on the Internet, above and beyond the effects of the neuroimaging sample’s own choices (i.e., to lend or not). These findings suggest that elicitation of positive arousal can promote the success of loan requests, both in the laboratory and on the Internet. They also highlight affective neuroscience’s potential to probe neuropsychological mechanisms that drive microlending, enhance the effectiveness of loan requests, and forecast market-level behavior. SAGE Publications 2015-09 /pmc/articles/PMC4570982/ /pubmed/26187248 http://dx.doi.org/10.1177/0956797615588467 Text en © The Author(s) 2015 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research Articles
Genevsky, Alexander
Knutson, Brian
Neural Affective Mechanisms Predict Market-Level Microlending
title Neural Affective Mechanisms Predict Market-Level Microlending
title_full Neural Affective Mechanisms Predict Market-Level Microlending
title_fullStr Neural Affective Mechanisms Predict Market-Level Microlending
title_full_unstemmed Neural Affective Mechanisms Predict Market-Level Microlending
title_short Neural Affective Mechanisms Predict Market-Level Microlending
title_sort neural affective mechanisms predict market-level microlending
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570982/
https://www.ncbi.nlm.nih.gov/pubmed/26187248
http://dx.doi.org/10.1177/0956797615588467
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