This study investigates age differences in technology adoption and sustained usage in the workplace using the Theory of Planned Behavior (TPB). It examines user reactions and technology usage behavior over 5 months among 118 workers introduced to a new software system. Results show that younger workers are more influenced by attitude toward using technology, while older workers are more influenced by subjective norm and perceived behavioral control. These findings are robust even after controlling for income, occupation, and education levels. Theoretical and practical implications for understanding the effects of aging on technology adoption and usage in the workplace are discussed. The research highlights that age differences in technology adoption and usage are influenced by TPB constructs: attitude toward behavior, subjective norm, and perceived behavioral control. In the short term, younger workers are more influenced by attitude toward using technology, while older workers are more influenced by subjective norm and perceived behavioral control. Over the long term, the influence of subjective norm diminishes, and perceived behavioral control remains significant for older workers. Age differences in technology adoption and usage are also influenced by the interaction between age and TPB constructs. The study suggests that age has a direct effect on usage, and that TPB constructs fully mediate the effect of age on usage. The results indicate that age differences in technology adoption and usage are influenced by the relative importance of TPB constructs. Younger workers are more influenced by attitude toward using technology, while older workers are more influenced by subjective norm and perceived behavioral control. These findings have important implications for understanding the effects of aging on technology adoption and usage in the workplace. The study also highlights the importance of training programs for both younger and older workers. Training programs should be structured to meet the needs of both groups, with an emphasis on perceived behavioral control for older workers. Additionally, the study suggests that organizations should provide greater learning opportunities for employees throughout their tenure to support continuous learning. The results of this study suggest that management strategies for technology adoption and implementation that treat the workforce as a monolithic entity and fail to appreciate the differences across age groups are likely to fail.This study investigates age differences in technology adoption and sustained usage in the workplace using the Theory of Planned Behavior (TPB). It examines user reactions and technology usage behavior over 5 months among 118 workers introduced to a new software system. Results show that younger workers are more influenced by attitude toward using technology, while older workers are more influenced by subjective norm and perceived behavioral control. These findings are robust even after controlling for income, occupation, and education levels. Theoretical and practical implications for understanding the effects of aging on technology adoption and usage in the workplace are discussed. The research highlights that age differences in technology adoption and usage are influenced by TPB constructs: attitude toward behavior, subjective norm, and perceived behavioral control. In the short term, younger workers are more influenced by attitude toward using technology, while older workers are more influenced by subjective norm and perceived behavioral control. Over the long term, the influence of subjective norm diminishes, and perceived behavioral control remains significant for older workers. Age differences in technology adoption and usage are also influenced by the interaction between age and TPB constructs. The study suggests that age has a direct effect on usage, and that TPB constructs fully mediate the effect of age on usage. The results indicate that age differences in technology adoption and usage are influenced by the relative importance of TPB constructs. Younger workers are more influenced by attitude toward using technology, while older workers are more influenced by subjective norm and perceived behavioral control. These findings have important implications for understanding the effects of aging on technology adoption and usage in the workplace. The study also highlights the importance of training programs for both younger and older workers. Training programs should be structured to meet the needs of both groups, with an emphasis on perceived behavioral control for older workers. Additionally, the study suggests that organizations should provide greater learning opportunities for employees throughout their tenure to support continuous learning. The results of this study suggest that management strategies for technology adoption and implementation that treat the workforce as a monolithic entity and fail to appreciate the differences across age groups are likely to fail.