Algorithmic Management: invisible boss or ghost work?

Research on algorithmic management has focused mainly on platform-mediated gig work while only recently it tried to analyse its impact in standard organizations. Stemming from a socio-technical perspective, which reflect both technological and organizational choices, this contribution will introduce to algorithmic management as a set of technological tools and techniques to remotely manage workforces, relying on data collection and surveillance to enable automated or semi- automated decision-making. Reviewing existing research will lead to shed light on the emerging aspects of work invisibilisation and disappearance that lies behind technology. In an age of technological wonder, not everything is made of silicon and bits. Smart devices, app and AI systems are substantially powered by humans, intentionally hidden from view, who perform their labour as tasks or services in a platform-based marketplace. These same workers elaborate strategies to protect their interests and escape the organizational control of this "invisible boss", both through individual resistance tactics and practices (deactivation of geo-localization, disconnection, strategic positioning in specific places and / or times, use of bots) and collective forms of voice and collective representation (from new movement unionism to platform cooperativism).