We study the association between people\u27 participation in an ESN platform and job mobility events using employees\u27 actions on an S&P500 company\u27s enterprise social networking (ESN) platform. Using cutting-edge text-mining algorithms, we first determine the settings in which employees use these platforms and then assess the relationship between those qualities and job mobility. According to our topic-modeling analysis, employee participation on workplace social networking platforms has multiple dimensions; nonetheless, it is mainly employed for knowledge-sharing, social networking, employee engagement, and volunteer activities. We provide empirical evidence that employees\u27 contributions to knowledge-sharing, social networking, and organizational engagement via ESN lead to a higher likelihood of job mobility; however, a higher number of complaints, perhaps surprisingly, is associated with a higher likelihood of job mobility. We contend that better levels of knowledge-sharing, social networking, and employee engagement with less complaints can be linked to self-promotion, resulting in a higher likelihood of promotion
