Abstract

The next wave of IT Project Management research is poised to integrate new topics, theories, and methods that reflect the accelerating complexity of digital project ecosystems. As AI copilots, automation, and platform-based development reshape project work, scholars are increasingly turning to simulation, process mining, experiments, and configurational approaches such as fsQCA to study real-time risk detection, escalation pathways, and human–AI collaboration. These methodological shifts align with emerging theoretical lenses, such as sociomateriality, sensemaking, algorithmic governance, resilience theory, and attention-based views, that offer powerful ways to explain how intelligent systems influence coordination, decision-making, and project outcomes. Future research streams are also expanding toward AI-augmented governance, cyber-physical resilience, ethical and sustainable project portfolios, and the organizational implications of continuous product-mode delivery. In parallel, distributed and hybrid work environments invite theory-driven inquiry into well-being, psychological safety, identity, and leadership in fluid socio-technical settings. Taken together, the convergence of new theories, topics, and methods positions the next wave of IT Project Management to advance a richer understanding of how people, organizations, and intelligent systems co-create the next generation of project management practice.

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