An investigation on the influencing factors of elderly people's intention to use financial AI customer service

心理学 技术接受模型 结构方程建模 可用性 独创性 晋升(国际象棋) 应用心理学 价值(数学) 知识管理 社会心理学 计算机科学 人机交互 机器学习 政治 创造力 政治学 法学
作者
Xusen Cheng,Liyang Qiao,Bo Yang,Zikang Li
出处
期刊:Internet Research [Emerald (MCB UP)]
卷期号:34 (3): 690-717 被引量:9
标识
DOI:10.1108/intr-06-2022-0402
摘要

Purpose With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age. Design/methodology/approach A mixed method, including the qualitative and quantitative study, was utilized to explore answers of the research questions. As the qualitative study, the authors used semi-structured interviews and data coding to uncover the influencing factors. As the quantitative study, the authors collected data through questionnaires and tested hypotheses using structural equation modeling. Findings The results of data analysis from interviews and questionnaires suggested that perceived anthropomorphism and virtual identity of elderly users have a positive impact on their perceived ease of use, and the perceived intelligence of elderly users positively influences their perceived ease of use, satisfaction and perceived usefulness. Additionally, the elderly's cognition age can moderate the effects of perceived usefulness and satisfaction on their usage intention of FAICS. Originality/value This study contributes to the literature by taking the elderly group as the research participants and combining those influencing factors with technology acceptance model and information systems success model. The findings provide a basis for accelerating the promotion of FAICS and help address the problem that the elderly have difficulty adapting to a new technology.
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