special track details

Digital HRM and Organizing: Challenges, Opportunities and Practices for Human-Centred Knowledge Ecosystems

Description

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.

Indicative Topics

The contributions may address, but are not limited to, the following research topics:

  • Digital Technologies, HRM and Knowledge Practices: AI and digital technologies across the HRM lifecycle, supporting recruitment, workforce management, talent management, knowledge creation and sharing;
  • Employee Experience and Workplace Relationships: digital HRM practices fostering engagement, job satisfaction, work-life balance, well-being and knowledge sharing in human-centred workplaces;
  • Policy, Job Market, Inclusion and Sustainable HRM: emerging workplace and workforce trends, policies and sustainable HR practices promoting diversity, equity and inclusion, also in light of the UN Agenda 2030;
  • Workforce Transformation and Skills Development: AI and the green transition reshaping jobs, workforce skills and organizational knowledge needs and structures;
  • Advanced HR Analytics and Knowledge-Informed Decisions: advanced methods/tools to enhance HR analytics, refine employee profiling, and improve decision-making in HRM;
  • Emerging Forms of Work and Organizing: how digital technologies support employee collaboration, knowledge management and the creation of new organizational practices, such as decentralized autonomous organizations and platform-based work
Keywords
Digital Human Resource Management; Artificial Intelligence; Organizing; Employee Experience; HR Analytics; Knowledge Management; Sustainable Workplaces; Digital Transformation.
Organizers
Alessandro Margherita – Università del Salento, Italy
Andrea Fronzetti Colladon – Università Roma Tre, Italy
Elisa Villani – Università di Bologna, Italy
Fabiola Bertolotti – Università di Modena e Reggio Emilia, Italy
Daniela Carlucci – Università degli Studi della Basilicata, Italy
Gabriele Boccoli – Politecnico di Milano, Italy
Paula Ungureanu – Università di Modena e Reggio Emilia, Italy
(Together with all other members of AiIG Special Interest Group (SIG) “Digital HRM & Organization”)

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