This research investigates gender differences in individual technology adoption and sustained usage in the workplace, using the Theory of Planned Behavior (TPB). The study follows 355 workers over a 5-month period as they are introduced to a new software application. Key findings include: 1. **Attitude Towards Technology**: Men's decisions are more influenced by their attitude towards using the new technology, while women are more influenced by subjective norms and perceived behavioral control. 2. **Subjective Norm**: Women are more influenced by peer and superior influence, which is less salient for men. 3. **Perceived Behavioral Control**: Women are more influenced by perceived ease of use and computer anxiety, which is less salient for men. 4. **Behavioral Intention and Usage**: Early usage behavior predicts sustained usage, and this relationship is not moderated by gender. 5. **Confounding Variables**: Income, organization level, education, and computer self-efficacy did not confound the gender differences observed. The research highlights the importance of gender in shaping technology adoption and usage decisions, emphasizing the need for tailored training and marketing strategies to maximize acceptance and usage. The findings also underscore the critical role of early intentions in driving sustained usage, suggesting that the window for effective intervention is narrow and should be addressed early in technology implementations.This research investigates gender differences in individual technology adoption and sustained usage in the workplace, using the Theory of Planned Behavior (TPB). The study follows 355 workers over a 5-month period as they are introduced to a new software application. Key findings include: 1. **Attitude Towards Technology**: Men's decisions are more influenced by their attitude towards using the new technology, while women are more influenced by subjective norms and perceived behavioral control. 2. **Subjective Norm**: Women are more influenced by peer and superior influence, which is less salient for men. 3. **Perceived Behavioral Control**: Women are more influenced by perceived ease of use and computer anxiety, which is less salient for men. 4. **Behavioral Intention and Usage**: Early usage behavior predicts sustained usage, and this relationship is not moderated by gender. 5. **Confounding Variables**: Income, organization level, education, and computer self-efficacy did not confound the gender differences observed. The research highlights the importance of gender in shaping technology adoption and usage decisions, emphasizing the need for tailored training and marketing strategies to maximize acceptance and usage. The findings also underscore the critical role of early intentions in driving sustained usage, suggesting that the window for effective intervention is narrow and should be addressed early in technology implementations.