Tony Fang, Memorial University

Jennifer A. Harrison, EM Normandie Business School

Artificial intelligence is reshaping organizations by reconfiguring task structures, skill requirements, and managerial processes. Rather than eliminating jobs, AI adoption fosters new occupational roles and redefines expertise through changed patterns of human-AI collaboration. These developments promise to enhance productivity, though realizing these gains depends critically on the human skills that enable effective technology use.

The concept of skills varies significantly across disciplines, from labour economics viewing skills as human capital to organizational psychology emphasizing cognitive capabilities and sociology examining how skills are socially constructed. This fragmented understanding limits integrated knowledge about how AI shapes skills and productivity. The call seeks to bridge these perspectives by examining how skills are identified, defined, and valued in relation to AI, and how they translate into productivity gains across contexts.

Appel publié par Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• AI adoption and implementation in organizations, including how skills are identified, defined, measured, valued, and linked to productivity
• Human and AI collaboration, work transformation, and the identification and use of skills in changing task contexts
• Defining and developing skills in workplaces using AI (e.g., reskilling, upskilling, lifelong learning) and linking to productivity
• Changes in occupations, expertise, and professional roles, and how skill requirements are defined and evolving with AI
• Organizational and institutional factors shaping how skills are identified, defined, and managed in relation to AI and productivity (e.g., leadership, HR practices, policy contexts)
• Career sustainability, mobility, and inequality in labour markets shaped by AI, with a focus on how skills are defined, accessed, and valued

Timeline

• December 15, 2026: Submission Deadline

Steve Machin, LSE

Maria Koumenta, Queen Mary University of London

Alex Bryson, UCL

This special issue honours the legacy of Professor Sir David Metcalf, a prominent labour economist and industrial relations scholar at the LSE who shaped the field over four decades. The journal seeks theoretically grounded empirical research that embodies his scholarly approach to understanding economic and policy dimensions of industrial relations.

The call welcomes contributions addressing core labour economics topics including union activity, wage structures, workplace disputes, firm performance, minimum wage policies, worker mobility, immigration effects, and labour market governance. The initiative combines a conference and subsequent journal publication, reflecting Metcalf's commitment to rigorous, policy-relevant research.

Appel publié par British Journal of Industrial Relations. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Trade unions
• Pay and payment systems
• Conflict and dispute resolution
• Productivity and firm performance
• Low pay and minimum wages
• Labour market transitions
• Immigration
• Labour market regulation and enforcement

Timeline

• Invalid DateTime: Final submissions deadline for BJIR special issue
• July 31, 2026: Deadline for submission of extended abstract (1,000 words) or paper
• August 31, 2026: Notification of acceptance for conference
• November 15, 2026: Conference paper drafts (10,000 words) due
• December 3, 2026: Conference held at LSE