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AI Perception Dimensions as Predictors of Employee Adaptation in Symbiotic Work Environments: Evidence from Thailand's Private Sector

International Journal of Analysis and Applications | 2026

Paper Details

Authors: Peemanee J.; Boonlua S.; Srikamwiang K.

DOI: 10.28924/2291-8639-24-2026-191

Journal: International Journal of Analysis and Applications

Year: 2026

Publisher: Etamaths Publishing

Document Type: Article

Open Access: All Open Access; Gold Open Access

Cited by: 0

Abstract

This study examines how employees’ perceptions of artificial intelligence (AI) influence their adaptation to human-AI collaboration environments in Thailand, focusing on addressing the limited data resources available in developing countries. Perceptions of AI were defined in four dimensions: perceived value, perceived inevitability, acceptance readiness, and adaptive preparedness. A quantitative cross-sectional research design was used, collecting data from 387 private sector employees via a structured questionnaire. Employee adaptation was measured by work adaptation, AI-human compatibility, and collaboration based on trust. Hierarchical multiple regression analysis revealed that all four dimensions significantly predicted adaptation, explaining (adjusted R²) 76.7% of the variance. Adaptive preparedness was the strongest predictor, followed by acceptance readiness, perceived value, and perceived inevitability, respectively. Age had a minor negative impact, while education level was insignificant. The findings indicate that effective human-AI collaboration stems from perceived, emotional, and behavioral factors, emphasizing that proactive skill development is a key pathway for adaptation. © 2026 the author(s).

Keywords

adaptive preparedness; AI perception; emerging economies; employee adaptation; human–AI collaboration; symbiotic work environments