The power of emotions in online decision making: A study of seller reputation using fMRI
作者:
Highlights:
• Online users pay high price premium for products with high seller reputation indicators.
• Activity of DLPFC can represent prior learning associated with arbitrary indicators.
• Activity of VMPFC can represent integrated cognitive and emotional value.
• Both activity of DLPFC and VMPFC can be used as predictors of price premium in online marketplaces.
摘要
Online auctions use a variety of unique tools to provide quality signals for products and sellers in an attempt to overcome the online marketplace's limitations. These tools include feedback ratings and symbols that indicate reputation. However, surprisingly few studies have investigated the effects of reputation indicators in the decision-making process in online marketplaces. No prior study in our knowledge has examined the role of graphics indicators in online decision-making. We investigated the decision process and the price premium an individual was willing to pay for a product using an experiment with the Becker-DeGroot-Marschak procedure and event-related measures of brain activity. As signaling theory expects, results showed that the price premium paid for a product was higher when the product sold by a seller appeared with a high-reputation symbol. High-reputation seller indicators triggered significantly higher neural activity compared with low-reputation seller indicators in brain regions associated with emotions in the prefrontal cortex (the ventromedial prefrontal cortex). The degree of integrated cognitive value and cognitive and emotional value as represented by neural activity in the dorsolateral prefrontal cortex and VMPFC respectively was correlated with the price premium individuals bid for products. The results indicate the applicability of semeiotic theory along with signaling theory in the e-marketplace context and suggest fruitful avenues for further research.
论文关键词:Seller reputation,Decision-making,Signaling theory,Semiotics theory,fMRI,Price premium
论文评审过程:Received 16 May 2019, Revised 8 January 2020, Accepted 8 January 2020, Available online 13 January 2020, Version of Record 28 February 2020.
论文官网地址:https://doi.org/10.1016/j.dss.2020.113247