kerostig | Tag : skills development https://kerostig.org/tag/skills-development/ Derniers appels à publications avec le tag 'skills development'. Sun, 27 Sep 2026 23:39:09 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr kerostig | Tag : skills development https://kerostig.org/public/favicon/android-chrome-96x96.png https://kerostig.org/tag/skills-development/ Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs. <![CDATA[Artificial Intelligence, Future Skills, and Productivity]]> https://kerostig.org/call/wiley-artificial-intelligence-future-skills-and-productivity/ wiley-artificial-intelligence-future-skills-and-productivity Sat, 29 Aug 2026 11:29:31 GMT

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
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