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神经沉浸的传染性预示着零售购买行为。

The contagion of neurologic Immersion predicts retail purchases.

作者信息

Rancati Gaia, Ghosh Kankana, Barraza Jorge, Zak Paul J

机构信息

Department of Marketing, Middle Tennessee State University, Murfreesboro, TN, United States.

Department of Computer Science, University of Bologna, Bologna, Italy.

出版信息

Front Neurosci. 2025 Mar 12;19:1533784. doi: 10.3389/fnins.2025.1533784. eCollection 2025.

Abstract

Consumers increasingly demand extraordinary experiences and businesses want to provide such experiences to build loyalty and increase customer lifetime value. One of the most significant aspects of consumer experiences is employee-customer interactions. We hypothesized that the value of customers' experiences would be reflected in the neurophysiology of sales associates and that these data would predict eventual purchases. We tested this hypothesis by measuring neurologic Immersion of sales associates serving customers ( = 56) in a field study in two luxury retail stores with actual customers. A synthetic dataset was generated from these data and showed that sales associates' peak Immersion was positively associated with the time customers spent shopping, which, in turn, positively scaled with how much customers spent. Estimating a machine learning model using sales associates' peak Immersion predicted which customers purchased with between 64% and 80% accuracy. Our results demonstrate that the neurophysiologic Immersion of one person can be used to predict the behavior of another person with whom they are interacting even when their goals may not be perfectly aligned. Moreover, we have shown that such a field study is feasible with real customers who are spending nontrivial amounts of money (M = $323, range: $0-$2,734). More generally, measuring the contagion of Immersion from one side of an interaction may be an effective way to assess and improve the quality of social engagements of many types.

摘要

消费者对非凡体验的需求日益增加,企业也希望提供此类体验以建立客户忠诚度并提高客户终身价值。消费者体验最重要的方面之一是员工与客户的互动。我们假设客户体验的价值会反映在销售员工的神经生理学上,并且这些数据能够预测最终的购买行为。我们通过在两家奢侈品零售店进行的实地研究,测量为客户服务的销售员工((n = 56))的神经沉浸度,对这一假设进行了测试。从这些数据生成的一个合成数据集表明,销售员工的峰值沉浸度与客户购物时间呈正相关,而客户购物时间又与客户的消费金额呈正相关。使用销售员工的峰值沉浸度估计机器学习模型,可以以64%至80%的准确率预测哪些客户会购买商品。我们的结果表明,即使两人的目标可能不完全一致,一个人的神经生理沉浸度也可用于预测与其互动的另一个人的行为。此外,我们还表明,这样的实地研究对于花费大量金钱的真实客户(平均消费金额(M = 323)美元,范围:0至2734美元)是可行的。更一般地说,测量互动一方的沉浸度传播情况可能是评估和改善多种社交互动质量的有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30e1/11936908/a700a105dc45/fnins-19-1533784-g001.jpg

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