独创性
认知
情感(语言学)
价值(数学)
心理学
唤醒
支付意愿
可用性
风险感知
营销
业务
社会心理学
感知
经济
计算机科学
微观经济学
沟通
人机交互
神经科学
机器学习
创造力
作者
Huosong Xia,Qian Zhang,Zuopeng Zhang,Leven J. Zheng
出处
期刊:Industrial Management and Data Systems
[Emerald (MCB UP)]
日期:2023-08-28
卷期号:123 (11): 2857-2881
被引量:4
标识
DOI:10.1108/imds-07-2022-0400
摘要
Purpose This paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response. Design/methodology/approach The authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires. Findings The authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use. Originality/value This research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.
科研通智能强力驱动
Strongly Powered by AbleSci AI