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谁的算法这么说:公司类型、信任和专业知识的看法以及金融机器人咨询的接受度之间的关系.pdf

上传人: 一*** 编号:653321 2025-05-01 34页 2.41MB

1、Whose Algorithm Says So:The Relationships Between Type of Firm,Perceptions of Trust and Expertise,and the Acceptance of Financial Robo-AdviceCarlos J.S.Loureno1,3Benedict G.C.Dellaert2,3Bas Donkers2,31ISEG&SOCIUS/CSG,University of Lisbon2Erasmus University Rotterdam3NETSPARThis presentation was supp

2、orted by FCT,I.P.,the Portuguese national funding agency for science,research and technology,under the Project UIDB/04521/2020.The study was funded by NETSPARs grant to the Interactive pension communication and decision-making project.9th International Pension Research Association Conference12 June

3、2024,OECD,Parisrobo-advice and robo-advisors:a product-matching marketing perspective since early 2010s:widespread automated interactive financial advice,namely on retirement and pension planning by 2025 robots expected to manage$16 T(14.7 MM)assets(Deloitte 2016)average time on smartphones(in US)ap

4、prox.5 hours/day and increasing attractive for the industry digital/automated marketing allows lowering costs and thus coming up with a new complementary and cheaper sales channelCora private by insurer and pension provider Liverpool Victoria(UK)robot marketed as“much faster than a human advisor”pro

5、fit orientedInvestment Balance private by financial services provider Centraal Beheer(NL)similar to Achmeas and SBZsBlue Zone public or state-sponsored developed with the University of Minnesota School of Public Health(healthy-)life expectancy algorithm customized recommendations non-profit oriented

6、ESPlanner(now MaxiFi)public or state-sponsored developed by Boston University economics Prof.Laurence Kotlikoff“robo-optimizing”lifetime financial planning tool since 1999 non-profit oriented(initially)in theory,it shouldnt matter upon receiving the same input information personalized recommendation

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本文研究了不同类型公司提供机器人建议时的接受度,类型包括营利性、非营利性、产品提供商和咨询公司。研究发现,营利性公司的机器人建议不如非营利性公司和咨询公司的受欢迎,部分原因是营利性公司被认为不如非营利性公司可信和专业化。此外,产品提供商虽然被认为更专业,但不如咨询公司受信任。研究还发现,消费者的满意度在很大程度上取决于他们对机器人建议的信任和专业性的感知。例如,如果消费者的满意度提高1分,那么在所有其他条件不变的情况下,建议的接受度将提高9.2分。作者指出,对于接近退休的老年消费者来说,他们对自动化工具生成养老金建议的满意度较低。因此,保险公司和产品提供商等营利性公司可能需要了解,老年消费者特别倾向于认为这些公司不如非营利性公司可信。总的来说,这项研究强调了在考虑采用机器人建议时,公司类型、信任和专业知识的重要性。
盈利与信任的关系" "不同类型公司提供的机器人建议有何不同?" "机器人建议接受度受哪些因素影响?"
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