Embracing intelligent insights: Unveiling investor adoption of AI advice and risk appetite

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F25%3A63595939" target="_blank" >RIV/70883521:28120/25:63595939 - isvavai.cz</a>

Výsledek na webu

<a href="https://editorial.upce.cz/1804-8048/33/1/2136" target="_blank" >https://editorial.upce.cz/1804-8048/33/1/2136</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.46585/sp33012136" target="_blank" >10.46585/sp33012136</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Embracing intelligent insights: Unveiling investor adoption of AI advice and risk appetite

Popis výsledku v původním jazyce

This paper aims to reveal the factors influencing investors&apos; intention to accept AI advice in financial decision-making. By integrating the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), it proposes a comprehensive model that elucidates the intricate relationships between social norms, attitude, perceived behavioral control, and the intention to accept AI advice, with a particular focus on examining risk tolerance as a moderating factor. A questionnaire survey was conducted with 569 Vietnamese investors to collect data in three different times. Partial least squares structural equation modeling (PLS-SEM) was utilized to analyze the measurement model and test the hypotheses. Results indicate that perceived usefulness, perceived ease of use, attitude, subjective norms, and perceived behavioral control positively influence the intention to accept AI advice. Furthermore, risk tolerance significantly moderates the link between attitude, subjective norms, perceived behavioral control, and intention to accept AI advice. This pioneering study introduces a comprehensive model unveiling the dynamics of AI advice acceptance in finance. It explores the novel concept of risk tolerance as a moderator, marking an important step in understanding human-AI interaction for financial decisions. Findings provide valuable insights into evolving AI adoption, especially in high-risk contexts.

Název v anglickém jazyce

Embracing intelligent insights: Unveiling investor adoption of AI advice and risk appetite

Popis výsledku anglicky

This paper aims to reveal the factors influencing investors&apos; intention to accept AI advice in financial decision-making. By integrating the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), it proposes a comprehensive model that elucidates the intricate relationships between social norms, attitude, perceived behavioral control, and the intention to accept AI advice, with a particular focus on examining risk tolerance as a moderating factor. A questionnaire survey was conducted with 569 Vietnamese investors to collect data in three different times. Partial least squares structural equation modeling (PLS-SEM) was utilized to analyze the measurement model and test the hypotheses. Results indicate that perceived usefulness, perceived ease of use, attitude, subjective norms, and perceived behavioral control positively influence the intention to accept AI advice. Furthermore, risk tolerance significantly moderates the link between attitude, subjective norms, perceived behavioral control, and intention to accept AI advice. This pioneering study introduces a comprehensive model unveiling the dynamics of AI advice acceptance in finance. It explores the novel concept of risk tolerance as a moderator, marking an important step in understanding human-AI interaction for financial decisions. Findings provide valuable insights into evolving AI adoption, especially in high-risk contexts.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scientific Papers of the University of Pardubice. Series D. Faculty of Economics and Administration

ISSN

1211-555X

e-ISSN

1804-8048

Svazek periodika

33

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

1-15

Kód UT WoS článku

001464937000001

EID výsledku v databázi Scopus

2-s2.0-105004449300