This study investigates gender differences in individual technology adoption and sustained usage decisions in the workplace using the Theory of Planned Behavior (TPB). The research involved 355 workers introduced to a new software technology over a 5-month period. Findings revealed that men's decisions were more influenced by their attitude toward using the technology, while women were more influenced by subjective norm and perceived behavioral control. Sustained usage behavior was driven by early usage behavior, reinforcing the lasting influence of gender-based early evaluations. These results were consistent across various factors including income, education, and computer self-efficacy. The study highlights the importance of gender differences in decision-making processes, with men showing stronger influence from attitude and women from subjective norm and perceived behavioral control. The research also emphasizes the role of early intentions and usage behavior in predicting sustained technology use. The findings suggest that gender differences in technology adoption and usage decisions are significant and should be considered in organizational practices. The study contributes to understanding the underlying mechanisms of technology adoption and usage, and highlights the need for tailored approaches in training and marketing to accommodate gender differences. The research also underscores the importance of early user experiences in shaping long-term technology adoption and usage behavior.This study investigates gender differences in individual technology adoption and sustained usage decisions in the workplace using the Theory of Planned Behavior (TPB). The research involved 355 workers introduced to a new software technology over a 5-month period. Findings revealed that men's decisions were more influenced by their attitude toward using the technology, while women were more influenced by subjective norm and perceived behavioral control. Sustained usage behavior was driven by early usage behavior, reinforcing the lasting influence of gender-based early evaluations. These results were consistent across various factors including income, education, and computer self-efficacy. The study highlights the importance of gender differences in decision-making processes, with men showing stronger influence from attitude and women from subjective norm and perceived behavioral control. The research also emphasizes the role of early intentions and usage behavior in predicting sustained technology use. The findings suggest that gender differences in technology adoption and usage decisions are significant and should be considered in organizational practices. The study contributes to understanding the underlying mechanisms of technology adoption and usage, and highlights the need for tailored approaches in training and marketing to accommodate gender differences. The research also underscores the importance of early user experiences in shaping long-term technology adoption and usage behavior.