Wicked societal challenges and the rapid advancement of digital technologies—such as Artificial Intelligence (AI), advanced algorithms, analytics, Blockchain and platform-based work systems—are significantly reshaping Human Resource Management (HRM) practices within and beyond organizations (e.g. Kim et al., 2025). While such exponential innovations can sustain organizational performance, enhance work-related attitudes, improve workforce engagement, and drive new forms of work or organizational arrangements, extensive digitalization and the rise of “algorithmic HRM” can also significantly affect employee experience and organizational dynamics (e.g. Brynjolfsson et al., 2025; Giermindl et al., 2022).
New cross-disciplinary research and practitioner discussions are thus needed to understand how digital innovations impact the individual and organizational dimensions, and how digital transformation of HRM can support positive employee experience and the organizational ability to undertake change. The goal is to advance the scientific understanding of technology-enhanced forms of organizing and the role of innovative HRM practices to foster more sustainable human-centred knowledge ecosystems.
The rationale for proposing a special track on “Digital HRM and Organizing: Challenges, Opportunities and Practices for Human-Centred Knowledge Ecosystems” is thus driven by the evolving meaning and practices of HRM and organizing in response to a dramatically changing socio-economic scenario fueled by the rise of AI and digital technologies.
The track aims to explore how digital transformation can affect the workforce, organizational values, HRM and stimulate a more sustainable workplace, improving employees’ experiences, facilitating smoother organizational change.
In line with the IFKAD 2027 theme, “The Ecology of Knowledge in the AI Era”, the track also examines how digital HRM and organizing shape the relationships between people, technologies and organizational knowledge. Particular attention is devoted to how human expertise and AI can jointly support knowledge creation, sharing and application and produces beneficial outcomes (e.g. Jarrahi et al., 2023).
This special track welcomes conceptual and empirical research examining digital HRM and organizing in the age of AI. It pays particular attention to the practices, challenges, and opportunities shaping human-centered knowledge ecosystems. It is open to diverse theoretical perspectives and methodological approaches, and seeks to advance scientific knowledge, stimulate academic debate, and bridge the gap between theory and practice.
The contributions may address, but are not limited to, the following research topics:
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