Human-centered digital transformation in Thai organizations: An extended UTAUT2 model of Low-Code/No-Code platform adoption intention and employee well-being

This study investigates employees’ intentions to adopt Low-Code/No-Code (LCNC) platforms in Thai organizations by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with two psychological constructs: Perceived Trust and Technology Anxiety. Survey data from 411 employees were analyzed using Structural Equation Modeling to examine how UTAUT2 determinants—Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Habit, Facilitating Conditions, and Perceived Cost—together with Perceived Trust and Technology Anxiety influence Behavioral Intention to adopt LCNC platforms and its association with employee well-being. The results show that Hedonic Motivation, Habit, Social Influence, Perceived Cost, and Perceived Trust significantly predict Behavioral Intention. Effort Expectancy and Facilitating Conditions exhibit statistically significant negative relationships with Behavioral Intention, indicating unexpected directional effects in the organizational LCNC context. Performance Expectancy and Technology Anxiety do not show statistically significant effects. The extended model explains 70.4% of the variance in Behavioral Intention and 41% of the variance in employee well-being. These findings provide an empirically supported extension of UTAUT2 to the LCNC context and highlight the importance of psychological and experiential factors in shaping human-centered digital transformation within organizations. • LCNC adoption intention modeled using extended UTAUT2 with trust and anxiety factors. • Hedonic motivation, habit, and trust strongly predict LCNC adoption intention. • Behavioral intention is positively associated with employee well-being. • Measurement and structural models show strong reliability and model fit. • Results inform LCNC implementation strategies in emerging digital economies.