Human-Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending | Semantic Scholar (2024)

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33 Citations

Do Robo-Advisors Make Us Better Investors?
    Camila BackStefan MoranaMartin Spann

    Economics, Business

    SSRN Electronic Journal

  • 2021

The impact of anthropomorphized robo-advisors on investment decisions is considered, with a focus on their ability to mitigate investors’ behavioral biases, and the well-documented disposition effect is studied.

  • 3
  • PDF
My new financial companion! non-linear understanding of Robo-advisory service acceptance
    Eugene Cheng-Xi AwT. ZhaStephanie Hui-Wen Chuah

    Business, Psychology

    The Service Industries Journal

  • 2023

This study challenges the conventional linear and symmetric perspective adopted in prior research by examining the interplay among technology characteristics, human-like characteristics, and consumer characteristics to explain the acceptance of robo-advisory services.

  • 8
  • Highly Influenced
The Fintech Revolution and the Changing Role of Financial Advisors
    Juan CoffiBabu George

    Business, Economics

    Journal of Applied And Theoretical Social…

  • 2022

Continuous advancements in fintech provide a somewhat customized service but the robot’s lack of ability to manage certain types of investments and integrate intangible yet critical human factors into the assessments limit the effectiveness of these tools, at least currently.

  • 3
  • PDF
Cognitive Challenges in Human-Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation
    A. FügenerJörn GrahlAlok GuptaW. Ketter

    Computer Science, Business

    Inf. Syst. Res.

  • 2022

This study highlights capabilities that humans need to effectively work with AI and still be in control rather than just being directed.

Examining the association between robo-advisory and perceived financial satisfaction
    Zefeng Bai

    Business

    Review of Behavioral Finance

  • 2024

PurposeRobo-advisory has become an increasingly popular asset management tool in recent decades. This paper studies the association between robo-advisor usage and perceived financial

Friend or Foe? Teaming Between Artificial Intelligence and Workers with Variation in Experience
    Weiguang WangG. GaoRitu Agarwal

    Computer Science, Medicine

    Management Science

  • 2023

Evidence is found that AI benefits workers with greater task-based experience, but senior workers gain less from AI than their junior colleagues, and the relatively lower productivity lift from AI is not a result of seniority per se but lower trust in AI, likely triggered by the senior workers’ broader job responsibilities.

  • 3
Cognitive challenges in human-AI collaboration: Investigating the path towards productive delegation
    A. FügenerJörn GrahlAlok GuptaW. KetterW. KetterW. Ketter

    Computer Science

    SSRN Electronic Journal

  • 2019

It is argued that the future workplace may not belong exclusively to humans or machines, and it is better to use AI together with humans by combining their unique characteristics and abilities.

  • 17
  • PDF
Understanding Lenders’ Investment Behavior in Online Peer-to-Peer Lending: A Construal Level Theory Perspective
    Yi WuWeiling KeYuelei LiZhijie LinYong Tan

    Economics, Business

    Information Systems Research

  • 2024

This study explores the decision-making process in online peer-to-peer (P2P) lending, a rapidly growing source of fixed income for investors. We examine how lenders’ bidding amounts are influenced by

Network Formation and Financial Inclusion in P2P Lending: A Computational Model
    Evangelos KatsamakasJ. Sánchez-Cartas

    Economics, Computer Science

    Syst.

  • 2022

It is concluded that digital platforms increase financial inclusion, helping to foster investment and achieve a more egalitarian allocation of resources.

Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
    P. WeberK. V. CarlO. Hinz

    Computer Science, Economics

    Management Review Quarterly

  • 2023

An overview of current research on XAI in Finance is provided with a systematic literature review screening 2,022 articles from leading Finance, Information Systems, and Computer Science outlets, and classify them according to the used XAI methods and goals that they aim to achieve.

  • 14
  • PDF

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29 References

The Promises and Pitfalls of Robo-Advising
    Francesco D’Ac*ntoN. PrabhalaAlberto G. Rossi

    Economics, Business

    The Review of Financial Studies

  • 2019

We study a robo-advising portfolio optimizer that constructs tailored strategies based on in- vestors’ holdings and preferences. Adopters are similar to non-adopters in terms of demographics, but

  • 221
  • PDF
Designing a robo-advisor for risk-averse, low-budget consumers
    D. JungVerena DornerChristof WeinhardtHakan Pusmaz

    Business, Computer Science

    Electronic Markets

  • 2017

This work identifies requirements for robo-advisory, derive design principles and evaluate them in two iterations with a real roboservice in a controlled laboratory study, and results confirm the validity of the identified design principles.

  • 114
Personalized finance advisory through case-based recommender systems and diversification strategies
    Aldo MoroMarco Polignano

    Computer Science, Business

    Decis. Support Syst.

  • 2015
  • 57
Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending
    Mingfeng LinN. PrabhalaS. Viswanathan

    Economics, Business

    Manag. Sci.

  • 2013

It is found that the online friendships of borrowers act as signals of credit quality and increase the probability of successful funding, lower interest rates on funded loans, and are associated with lower ex post default rates.

  • 1,085
  • PDF
Trust and Credit: The Role of Appearance in Peer-to-peer Lending
    J. DuarteStephan SiegelLance A. Young

    Economics, Business

  • 2012

Although it is well known that appearance-based impressions affect labor market and election outcomes, little is known about the role appearance plays in financial transactions. We address this

  • 848
Cheap Talk? The Impact of Lender-Borrower Communication on Peer-to-Peer Lending Outcomes
    J. XuM. Chau

    Business, Economics

    J. Manag. Inf. Syst.

  • 2018

The research broadens and deepens the understanding of the roles of information disclosure, social influence, information quality, and trust in economic exchanges in online settings and shows that not only the amount but also the content of such direct communication matters.

  • 78
Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
    Berkeley J. DietvorstJ. SimmonsCade Massey

    Economics, Computer Science

    Manag. Sci.

  • 2018

Giving participants the freedom to modify an imperfect algorithm made them feel more satisfied with the forecasting process, more likely to believe that the algorithm was superior, and morelikely to choose to use an algorithm to make subsequent forecasts.

  • 530
  • PDF
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
    Berkeley J. DietvorstJ. SimmonsCade Massey

    Economics, Psychology

    Journal of experimental psychology. General

  • 2015

It is shown that people are especially averse to algorithmic forecasters after seeing them perform, even when they see them outperform a human forecaster, and this phenomenon, which is called algorithm aversion, is costly, and it is important to understand its causes.

  • 1,162
  • PDF
When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding
    Yang JiangYi-Chun HoXiangbin YanYong Tan

    Economics, Business

    Inf. Syst. Res.

  • 2020

Lending-based real estate crowdfunding, which involves the use of real estate to secure loans, has emerged as a promising alternative with lower risk than peer-to-peer lending. This study provides

  • 27
Cost-Effective Quality Assurance in Crowd Labeling
    Jing WangPanagiotis G. IpeirotisF. Provost

    Computer Science, Economics

    Inf. Syst. Res.

  • 2017

This paper considers labeling tasks and develops a comprehensive scheme for managing the quality of crowd labeling and introduces two novel metrics that can be used to objectively rank the performance of crowdsourced workers.

  • 32

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    Human-Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending | Semantic Scholar (2024)

    FAQs

    What are 2 cons negatives to using a robo-advisor? ›

    The generic cons of Robo Advisors are that they don't offer many options for investor flexibility. They tend to not follow traditional advisory services, since there is a lack of human interaction.

    Why do you think robo-advisors have become a popular tool for investors? ›

    They are increasingly popular among investors who want to access the markets. Tobo-advisors are low-cost, often have no minimum balance requirements, and tend to follow strategies suited for new and intermediate investors.

    Who are the target market for robo-advisors? ›

    Many digital platforms target and attract certain demographics more than others. For robo-advisors, these include Millennial and Generation Z investors who are technology-savvy and still accumulating their investable assets.

    Which types of investors might be interested in using a robo-advisor who might not be interested? ›

    They have become popular with novice investors because they have low starting deposits and don't require in-depth market knowledge. For experienced investors, robo-advisors can automate complex time-consuming activities like rebalancing and tax-loss harvesting.

    Why are more younger people using robo-advisors instead of human advisors? ›

    Robo-advisors are believed to appeal more to younger people because this demographic tends to trust robots more and prefers doing everything online. Robo-advisors are also more accessible in terms of cost and the amount you can invest.

    Why robo-advisors failed? ›

    Robo advisors fall short of qualified human advisors in several ways. Among most platforms, the main service offered is portfolio management, which is a small part of what a qualified human advisor does. Here are the additional roles that many qualified human advisors take on.

    Do robo-advisors outperform the S&P 500? ›

    Do robo-advisors outperform the S&P 500? Robo-advisors can outperform the S&P 500 or they can underperform it. It depends on the timing and what they have you invested in. Many robo-advisors will put a percentage of your portfolio in an index fund or a variety of funds intended to track the S&P 500.

    How risky are robo-advisors? ›

    2 Cybersecurity threats. Another risk of using robo-advisors is that they may be vulnerable to cyberattacks that compromise your data and assets. Robo-advisors store and process large amounts of sensitive information, such as your identity, bank accounts, portfolio holdings, and transactions.

    Do robo-advisors beat the market? ›

    The answer isn't clear-cut, as it largely depends on an array of factors from market volatility to the investor's specific financial goals and risk tolerance. Over the past decade, robo-advisors have become an increasingly common way for everyday investors to get involved in the financial markets.

    What ethical considerations should robo-advisors adhere to? ›

    That is, trust in chatbots, in algorithms, in autonomous decision-making, in fair and un-biased treatment, in cyber-security, etc. All of these trust issues (or ethical concerns) need to be resolved for robo-advice to be trusted.

    Do robo-advisors perform better than humans? ›

    While robo-advisors are incredibly efficient at managing investments and can provide general financial advice based on the information you provide, they may not be able to handle all aspects of financial planning.

    Can you lose money with robo-advisors? ›

    Robos can “help create a portfolio you are comfortable with.” (To be clear, robo advisors don't protect you from market fluctuations; you can still lose money if the stock or fund you invest in tanks after you buy it, and you choose to sell.

    What is the risk of robo-advisor? ›

    Another risk of using robo-advisors is that they may be vulnerable to cyberattacks that compromise your data and assets. Robo-advisors store and process large amounts of sensitive information, such as your identity, bank accounts, portfolio holdings, and transactions.

    What are 2 advantages of using a robo-advisor two correct answers? ›

    In addition to creating an automated portfolio, robo-advisors can also offer their customers the following benefits: Lower fees compared with a traditional financial advisor. Lower capital required to start. The ability to avoid human error and bias.

    What are the cons of AI investing? ›

    What are the disadvantages? One of the biggest concerns regarding AI in this sector is based on how having easy access to advanced investment tools may lead some people to overestimate their abilities and take too many financial risks.

    What are the pros and cons of having a financial advisor? ›

    Pros of hiring a financial advisor include gaining access to expertise, leveraging time, and sharing responsibility. However, there are also potential downsides to consider, such as costs and fees, quality of service, and the risk of abandonment.

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