Navigating workplace AI adoption: The influence of perceptions and affective attitudes on employees’ intentions to use AI at work

Abstract This study investigates employees’ perceptions of artificial intelligence (AI) in the workplace, using data from 1,224 working adults across two samples. Drawing from an extended version of the Technology Acceptance Model, we examine how employees’ trust in AI and their perceptions of AI’s usefulness and ease-of-use at work shape their affective attitudes toward using AI, which in turn influence their intentions to adopt AI in their job. Perceived usefulness and trust in AI predicted employees’ intentions to adopt it at work via affective attitudes toward using AI. The findings for perceived ease-of-use were inconsistent, suggesting potential workplace-specific implications of this pathway. None of the relationships differed by gender, education, or leadership status. The findings bridge the technology adoption and organizational science literature to offer theoretical insights, practical implications, and future research directions for facilitating employees’ intentions to adopt AI at work.

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Publication Details

Journal
Journal of Management & Organization
Published
2026-04-07
DOI
https://doi.org/10.1017/jmo.2026.10090
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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Navigating workplace AI adoption: The influence of perceptions and affective attitudes on employees’ intentions to use AI at work

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Journal of Management & Organization
AI in Service Interactions
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Navigating workplace AI adoption: The influence of perceptions and affective attitudes on employees’ intentions to use AI at work

Dilcu Barnes, Amy M. Schuster, Gwendolyn Paige Watson, Shelia R. Cotten, Shubham Agrawal, Phillip Nguyen
article en

Abstract

Abstract This study investigates employees’ perceptions of artificial intelligence (AI) in the workplace, using data from 1,224 working adults across two samples. Drawing from an extended version of the Technology Acceptance Model, we examine how employees’ trust in AI and their perceptions of AI’s usefulness and ease-of-use at work shape their affective attitudes toward using AI, which in turn influence their intentions to adopt AI in their job. Perceived usefulness and trust in AI predicted employees’ intentions to adopt it at work via affective attitudes toward using AI. The findings for perceived ease-of-use were inconsistent, suggesting potential workplace-specific implications of this pathway. None of the relationships differed by gender, education, or leadership status. The findings bridge the technology adoption and organizational science literature to offer theoretical insights, practical implications, and future research directions for facilitating employees’ intentions to adopt AI at work.

Journal of Management & Organization
Clemson University (US), Auburn University (US)
Gender equality
Openalex Percentile: Top 21%
AI in Service Interactions
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