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"Jurnal Dr. HERSUGONDO, SE, MM: Beyond the hype: understanding barriers to AI adoption through lens of protection motivation theory"

HERSUGONDO, Hersugondo (2025) "Jurnal Dr. HERSUGONDO, SE, MM: Beyond the hype: understanding barriers to AI adoption through lens of protection motivation theory". Aslib Journal of Information Management.

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Abstract

Purpose– This study explores how perceived self-threat, skepticism and distrust influence employees’
intentions to adopt artificial intelligence (AI), both directly and indirectly, through anticipated adverse
outcomes.
Design/methodology/approach– Using protection motivation theory (PMT) as a theoretical framework, data
were gathered from 597 employees. This study employed covariance-based structural equation modeling (CB
SEM) to evaluate the proposed hypotheses.
Findings– The results indicate that perceived self-threat, skepticism and distrust significantly and negatively
impact employees’ intention to use AI. Specifically, elevated levels of these psychological factors heighten
concerns about privacy and job security, which in turn diminish the likelihood of AI adoption.
Originality/value– This study provides new insights into how perceived self-threat, skepticism and distrust
affect AI adoption intentions through anticipated adverse outcomes. It enriches the literature by highlighting the
psychological barriers to AI adoption and underscores the need for targeted managerial strategies to address
these challenges.

Item Type: Article
Uncontrolled Keywords: Artificial intelligence, Anticipated adverse outcomes, Perceived self-threat, Skepticism, Distrust, Protection motivation theory
Subjects: Economics and Business
Economics and Business > Management
Divisions: Faculty of Economics and Business > Department of Management
Depositing User: Mr Sulamul Hadi
Date Deposited: 14 May 2025 02:10
Last Modified: 14 May 2025 02:10
URI: https://eprints2.undip.ac.id/id/eprint/32122

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