Venkatesh and Bala propose an integrated model of technology acceptance model (TAM) 3 (TAM3) to better understand how interventions influence the adoption and use of information technologies (IT). They argue that while TAM has been widely used to predict IT adoption, it lacks actionable guidance for practitioners. TAM3 extends TAM by incorporating additional determinants of perceived usefulness and perceived ease of use, including individual differences, system characteristics, social influence, and facilitating conditions. The model also explores potential crossover effects between perceived usefulness and perceived ease of use, but finds no significant cross-over effects. TAM3 posits that experience moderates the relationships between perceived ease of use and perceived usefulness, computer anxiety and perceived ease of use, and perceived ease of use and behavioral intention. The authors conducted longitudinal field studies across four organizations to test TAM3, collecting data over a 5-month period with four measurement points. They used validated items from prior research to measure constructs such as perceived usefulness, perceived ease of use, and behavioral intention. The results showed that TAM3 explained between 52% and 67% of the variance in perceived usefulness and between 43% and 52% of the variance in perceived ease of use. The authors also discuss pre- and postimplementation interventions that can enhance employees' adoption and use of IT, emphasizing the importance of design characteristics and user participation in the implementation process. The research has important implications for managerial decision making on IT implementation in organizations.Venkatesh and Bala propose an integrated model of technology acceptance model (TAM) 3 (TAM3) to better understand how interventions influence the adoption and use of information technologies (IT). They argue that while TAM has been widely used to predict IT adoption, it lacks actionable guidance for practitioners. TAM3 extends TAM by incorporating additional determinants of perceived usefulness and perceived ease of use, including individual differences, system characteristics, social influence, and facilitating conditions. The model also explores potential crossover effects between perceived usefulness and perceived ease of use, but finds no significant cross-over effects. TAM3 posits that experience moderates the relationships between perceived ease of use and perceived usefulness, computer anxiety and perceived ease of use, and perceived ease of use and behavioral intention. The authors conducted longitudinal field studies across four organizations to test TAM3, collecting data over a 5-month period with four measurement points. They used validated items from prior research to measure constructs such as perceived usefulness, perceived ease of use, and behavioral intention. The results showed that TAM3 explained between 52% and 67% of the variance in perceived usefulness and between 43% and 52% of the variance in perceived ease of use. The authors also discuss pre- and postimplementation interventions that can enhance employees' adoption and use of IT, emphasizing the importance of design characteristics and user participation in the implementation process. The research has important implications for managerial decision making on IT implementation in organizations.