吸引力
结构方程建模
忠诚
心理学
人工神经网络
顾客满意度
独特性
社会心理学
构造(python库)
人工智能
计算机科学
营销
机器学习
业务
精神分析
程序设计语言
作者
Dongyan Nan,Edward Shin,George A. Barnett,Sarah Cheah,Jang Hyun Kim
标识
DOI:10.1016/j.ipm.2022.103108
摘要
Our research attempts to track the role of coolness factors (i.e., attractiveness, subculture, and uniqueness) on user satisfaction and loyalty with respect to technological products. For this purpose, we construct a model for a particular technological product on the basis of coolness and satisfaction–loyalty theories. We then gather survey-based data from 454 Koreans for measuring the coolness factors, satisfaction, and loyalty variables. Subsequently, we employ an artificial neural network–structural equation model for testing the proposed model. Based on the outcomes, (1) we find that attractiveness and uniqueness have notable and positive effects on satisfaction, (2) whereas, subculture does not have a considerable impact on satisfaction. (3) In addition, a positive association between satisfaction and loyalty is identified. (4) Interestingly, there are no significant moderating influences of age and gender on the associations of coolness elements. Overall, the outcomes of our research contribute to the expansion of the literature regarding coolness theory and user experience of technologies.
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