Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63562538" target="_blank" >RIV/70883521:28120/23:63562538 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0148296323005271?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0148296323005271?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jbusres.2023.114168" target="_blank" >10.1016/j.jbusres.2023.114168</a>

Result language

angličtina

Original language name

Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy

Original language description

Drawing upon insights from the trust literature, we conducted two empirical surveys with the front-line employees of firms in Pakistan investigating the factors influencing cognitive trust in artificial intelligence (AI). Study1 consisted of 46 in-depth interviews aimed at exploring factors influencing cognitive trust. Based on the findings of Study 1, we developed a framework to enhance employees’ cognitive trust in AI. We then conducted a quantitative survey (study 2) with 314 employees to validate the proposed model. The findings suggest that AI features positively influence the cognitive trust of employees, while work routine disruptions have negative impact on cognitive trust in AI. The effectiveness of data governance was also found to facilitate employees&apos; trust in data governance and subsequently, employees&apos; cognitive trust in AI. We contribute to the technology trust literature, especial in developing economics. We discuss the implications of our findings for both research and practice.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50204 - Business and management

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Name of the periodical

Journal of Business Research

ISSN

0148-2963

e-ISSN

1873-7978

Volume of the periodical

167

Issue of the periodical within the volume

neuvedeno

Country of publishing house

US - UNITED STATES

Number of pages

7

Pages from-to

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UT code for WoS article

001144567500001

EID of the result in the Scopus database

2-s2.0-85164996568