AI and digital transformation are increasingly changing organizations and managerial practices (Von Krogh, 2018). More and more organizations are adjusting their way of working to improve effectiveness and efficiency, achieving objectives such as speed of operations, allocation of tasks, and collaboration. In fact, emergent technologies represent a key lever for managing innovation and support digital transformation. In this context knowledge needs to be managed and integrated (Carlile and Rebentisch, 2003) to make it mutually understandable and relevant, especially in project oriented settings (Waardenburg et al.2022). This understanding is an important addendum to the literature on knowledge integration because it makes it possible to provide more thorough accounts on how projects can effectively leverage technology in complex environments (Muller et al., 2024). The coexistence of recent digital and algorithmic advancements and managerial instruments and tools deserve scholars’ attention and should be investigated in order to understand their role in knowledge integration processes (Jarrahi et al., 2023). A variety of organizational mechanisms may be identified as being the drivers to the delivery of joint outcomes involving collaboration. Emergent technologies can facilitate knowledge integration contributing to collaborative intelligence in innovative ways. They can support interaction among team members, and facilitate feedback and peer review. AI systems can likewise generate for instance dynamic representations that capture interconnections between people and teams to provide a comprehensive perspective about knowledge sources.
This track may therefore be located at the intersection of digital transformation, AI and management studies in the effort to add to the understanding of the mechanisms able to effectively deploy technologies to foster project success. We invite contributions that focus on a wide range of issues, including, but not limiting to, the following: the transformation of working practices in project oriented settings and the spread of digital technologies; the effects of AI on knowledge integration and management practices; the effects of algorithms, artificial intelligence, and other advanced forms of technology on project management practices (Zwikael et al, 2023); the strategies to pursue knowledge integration in project oriented settings (Canonico et al., 2017); the challenges of developing soft and hard technological skills to achieve knowledge integration (Verma et al., 2022).

Paolo Canonico, University of Napoles Federico II, Italy
Ernesto De Nito, University of Salerno, Italy
Antonio Bassi, SUPSI, Switzerland
Deva Rangarajan, IÉSEG School of Management Paris, France
María D. De-Juan-Vigaray, University of Alicante, Spain