Managing knowledge at the time of artificial intelligence: An explorative study with knowledge workers

In the evolutionary context of Industry 4.0, where machine learning and machine to machine technology are powerful tools for the maintenance and replicability of knowledge, the implementation of hybrid systems based on the use of Artificial Intelligence (AI) represents the key to organizational innovation and to the enhancement of knowledge. In this perspective, the study aimed to investigate how high-qualified knowledge workers cope with this new situation. Yet, participants were a group of project managers, employed in some knowledge-based organizations, in which AI and digitalization systems are going to be introduced to improve replicability, circulation and storage of knowledge. The choice of this peculiar target of participants was guided by the acknowledgement of their important role within the organization. Therefore, the main goal was to collect project managers’ expectations and fears about the upcoming integration of secularized company flows with performing process automation strategies. In-depth individual interviews were conducted and diatextual analysis was used to approach the discursive data collected. Results showed interesting insights both in terms of organizational management implications as well as of future research development