This study integrates two existing models—Technology Acceptance Model (TAM) and Motivational Model (MM)—to develop an integrated model of technology acceptance, focusing on the influence of pre-training and training environment interventions (referred to as "user acceptance enablers"). The research aims to understand how these interventions shape user perceptions and subsequent technology usage. The study uses longitudinal data from two previous studies to test the integrated model, extending the existing models by examining continued technology usage over time. The results show that the integrated model better predicts user behavior compared to the existing models. The study also highlights the importance of intrinsic motivation, perceived ease of use, and perceived usefulness in influencing user intentions and usage behavior. Additionally, it suggests that pre-training and training environment interventions play a crucial role in shaping initial user motivations and perceptions, which are critical for both initial and extended technology acceptance. The findings have implications for technology implementation and training strategies, emphasizing the need for early and proactive interventions to ensure successful technology adoption.This study integrates two existing models—Technology Acceptance Model (TAM) and Motivational Model (MM)—to develop an integrated model of technology acceptance, focusing on the influence of pre-training and training environment interventions (referred to as "user acceptance enablers"). The research aims to understand how these interventions shape user perceptions and subsequent technology usage. The study uses longitudinal data from two previous studies to test the integrated model, extending the existing models by examining continued technology usage over time. The results show that the integrated model better predicts user behavior compared to the existing models. The study also highlights the importance of intrinsic motivation, perceived ease of use, and perceived usefulness in influencing user intentions and usage behavior. Additionally, it suggests that pre-training and training environment interventions play a crucial role in shaping initial user motivations and perceptions, which are critical for both initial and extended technology acceptance. The findings have implications for technology implementation and training strategies, emphasizing the need for early and proactive interventions to ensure successful technology adoption.