Employers are increasingly turning to social networking sites (SNSs) to find candidates for their workforce or to gather intelligence about potential employees. However, apart from assessing the extent to which human resource professionals scan SNSs for information about job candidates, research on online recruitment in the context of SNSs is almost non-existent. In this study, we are investigating predictors of jobseekers’ intentions to apply for jobs in the context of SNSs. We propose a model that integrates classic technology adoption/utilization theories with salient factors such as privacy concerns that have increased in significance with the growing use of SNSs as an online recruitment source. This study will make a methodological and theoretical contribution to information systems research with the validation of the proposed model and associated scales in the online social computing context. It will also have practical implications for SNSs offering recruitment services; recruiters/potential employers; and jobseekers.