Intention to use analytical artificial intelligence (AI) in services – the effect of technology readiness and awareness

营销 金融服务 独创性 金融科技 投资(军事) 服务(商务) 业务 价值(数学) 感觉 心理学 知识管理 计算机科学 财务 创造力 法学 机器学习 政治 社会心理学 政治学
作者
Carlos Flavián,Alfredo Pérez-Rueda,Daniel Belanche,Luis V. Casaló
出处
期刊:Journal of Service Management [Emerald Publishing Limited]
卷期号:33 (2): 293-320 被引量:381
标识
DOI:10.1108/josm-10-2020-0378
摘要

Purpose The automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by artificial intelligence (AI) suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services. Design/methodology/approach Hypotheses were tested with a data set of 404 North American-based potential customers of robo-advisors. In addition to technology readiness dimensions, the potential customers' characteristics were included in the framework as moderating factors (age, gender and previous experience with financial investment services). A post-hoc analysis examined the roles of service awareness and the financial advisor's name (i.e., robo-advisor vs. AI-advisor). Findings The results indicated that customers' technological optimism increases, and insecurity decreases, their intention to use robo-advisors. Surprisingly, feelings of technological discomfort positively influenced robo-advisor adoption. This interesting finding challenges previous insights into technology adoption and value co-creation as analytical AI puts customers into a very passive role and reduces barriers to technology adoption. The research also analyzes how consumers become aware of robo-advisors, and how this influences their acceptance. Originality/value This is the first study to analyze the role of customers' technology readiness in the adoption of analytical AI. The authors link the findings to previous technology adoption and automated services' literature and provide specific managerial implications and avenues for further research.
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