Adoption of artificial intelligence in financial services: The case of robo-advisors in India

IF 1.7 Q3 MANAGEMENT
Shumaila Fatima, Madhumita Chakraborty
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引用次数: 0

Abstract

Robo-advisors are still in their nascent stages of use, and this technology has yet to find wider acceptance with investors. Our study extends the domain of technology acceptance to robo-advisors by identifying the drivers of investor adoption. Investment decisions carry high risks; thus, there is a greater need to understand investor behaviour to adopt robo-advisors. Trust, anxiety, performance expectancy, and preference for human advisors are used as variables to predict investors’ intentions. PLS-SEM is employed to examine the data with a sample size of 445 investors. Results suggest that all these variables play a significant role in determining the behavioural intention of investors towards the adoption of robo-advisors.

人工智能在金融服务中的应用:印度机器人顾问案例
机器人顾问的使用仍处于初级阶段,投资者尚未广泛接受这一技术。我们的研究通过确定投资者采用机器人顾问的驱动因素,将技术接受领域扩展到了机器人顾问。投资决策具有高风险,因此更有必要了解投资者采用机器人顾问的行为。信任、焦虑、业绩预期和对人工顾问的偏好被用作预测投资者意向的变量。采用 PLS-SEM 方法对 445 位投资者的样本数据进行了研究。结果表明,所有这些变量在决定投资者采用机器人顾问的行为意向方面发挥了重要作用。
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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
31
审稿时长
68 days
期刊介绍: IIMB Management Review (IMR) is a quarterly journal brought out by the Indian Institute of Management Bangalore. Addressed to management practitioners, researchers and academics, IMR aims to engage rigorously with practices, concepts and ideas in the field of management, with an emphasis on providing managerial insights, in a reader friendly format. To this end IMR invites manuscripts that provide novel managerial insights in any of the core business functions. The manuscript should be rigorous, that is, the findings should be supported by either empirical data or a well-justified theoretical model, and well written. While these two requirements are necessary for acceptance, they do not guarantee acceptance. The sole criterion for publication is contribution to the extant management literature.Although all manuscripts are welcome, our special emphasis is on papers that focus on emerging economies throughout the world. Such papers may either improve our understanding of markets in such economies through novel analyses or build models by taking into account the special characteristics of such economies to provide guidance to managers.
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