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Robo-advisors (RAs): the programmed self-service market for professional advice

机译:Robo-Advisors(RAS):专业建议的编程自助市场

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Purpose This conceptual paper draws together an interdisciplinary approach to robo-advisors (RAs) as an example of an early and successful example of automated, programmed professional services. Design/methodology/approach Little is known about the forces driving this change in the delivery of professional service. This work explores the drivers of RAs, the degree of disruption incurred by the introduction of RAs, and how, as RAs advance, trust in algorithmic authority aids in legitimating RAs as smart information. Findings From the firms' perspective, the drivers include rebranding occasioned by the financial crisis (2008), the widening of the client base and the "on-trend" nature of algorithmic authority guided by artificial intelligence (AI) embedded in RAs. This examination of the drivers of RAs indicates that professional service automation is aligned with information society trends and is likely to expand. Practical implications Examining RAs as an indicator of the future introduction of programmed professional services suggests that success increases when the algorithmic authority in the programmed serves are minimally disruptive, trustworthy and expand the client base while keeping the knowledge domain of the profession under control of the industry. Originality/value Treating RAs as an early instance of successfully embedding knowledge in AI and algorithmically based platforms adds to the early stages of theory and practice in the monetization and automation of professional knowledge-based services.
机译:目的本概念性文件将机器人顾问(RAs)的跨学科方法结合起来,作为自动化、程序化专业服务的早期和成功范例。设计/方法学/方法对推动专业服务提供的这种变化的力量知之甚少。这项工作探讨了RAs的驱动因素、引入RAs所造成的破坏程度,以及随着RAs的发展,对算法权威的信任如何帮助将RAs合法化为智能信息。从公司的角度来看,驱动因素包括金融危机(2008年)引发的品牌重塑、客户群的扩大以及嵌入RAs中的人工智能(AI)引导的算法权威的“趋势”性质。这项对RAs驱动因素的研究表明,专业服务自动化与信息社会趋势相一致,并且可能会扩大。实践意义将RAs作为未来引入程序化专业服务的一个指标进行研究表明,当程序化服务中的算法权威具有最小的破坏性、可信赖性,并在保持行业知识领域处于控制之下的同时扩大客户群时,成功率就会提高。独创性/价值将RAs视为成功将知识嵌入人工智能和基于算法的平台的早期实例,为基于专业知识的服务的货币化和自动化的早期理论和实践阶段增添了新的内容。

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