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The advent of the Internet has enabled information technologies (ITs) to facilitate work collaboration, social interaction, as well as knowledge sharing among employees within organizations. Such advancement has been implemented at enterprise-level scale and becomes essential components of daily job activities, both in and out of the workplace. Therefore, a better understanding of employees- acceptance and usage of collaboration technologies, specifically related to their proactive behavior in improving their person-job fit and work motivation, would help organizations to implement the system. This study extends the theoretical model of the unified theory of acceptance and use of technology (UTAUT) using seeking job resource dimensions as moderators, providing new insights into how job crafting affects individual behavioral intention in the post-adoption stage of technologies. We conduct a quantitative study in one of the largest national airlines in Indonesia, which has successfully implemented an online collaboration-based productivity system. We employ partial least squares to test our proposed model using data collected from 115 employees. Performance expectancy is found to be the only significant predictor of behavioral intention, while behavioral intention alongside facilitating conditions is significant in predicting the actual use of the technology. Consistent with prior literature in the context of technology post-adoption, effort expectancy and social influence are found to be insignificant to predict behavioral intention. Finally, the results show that job crafting behavior for seeking social job resources influence employees- behavioral intention to use the technology by moderating the effects of social influence.