HUMAN RESOURCE MANAGEMENT SIG STANDING TRACKS
GT08_00 – Human Resources Management General Track
Short description
ST08_01 – Human Resource Management
Short description:
The standing track covers the complete field of HRM research, promoting theory and research development on important substantive and methodological topics in the field. Papers’ proposals falling within the broad domain of HRM will be considered, spanning from micro HRM to strategic HRM and international HRM subfields. Empirical studies, theoretical contributions, and interdisciplinary research are welcome. The track aims at providing opportunities to reflect on the latest research in the field and strengthen international collaborations.
UN Sustainable Development Goals (SDG):
Goal 3: Good health and well-being for people; Goal 5: Gender equality; Goal 8: Decent work and economic growth; Goal 10: Reducing inequalities
For more information contact:
Laura Innocenti, University of L’Aquila – laura.innocenti@univaq.it
ST08_05 – AI, Big Data, Algorithmic Management and Emerging Tech in Human Resources Management, Employment Relations and Organizational Behaviour
AI and emerging technologies, such as robotics, algorithmic management, and big data analytics, are reshaping how work is allocated, performed, and managed. Many firms now use these tools to boost efficiency, agility, and support hybrid work models. While performance gains are evident, their effects on employees, managers, and workplace dynamics remain underexplored. Key concerns include impacts on health, job quality, autonomy, and fairness in algorithmic decision-making. Ethical issues surrounding transparency and accountability further complicate adoption. This track explores how AI and emerging tech affect core themes in Organizational Behavior (OB), Human Resource Management (HRM), and Employment Relations (ER).
UN Sustainable Development Goals (SDG):
Goal 3: Good health and well-being for people; Goal 5: Gender equality; Goal 8: Decent work and economic growth
Primary Contact:
Yumei Yang, yangy@bournemouth.ac.uk