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        <title>kerostig | Tag : artificial intelligence adoption</title>
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        <description>Derniers appels à publications avec le tag 'artificial intelligence adoption'.</description>
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            <title><![CDATA[AI Literacy at Work: Implications for Human Resource Management]]></title>
            <link>https://kerostig.org/call/tandf-ai-literacy-at-work-implications-for-human-resource-management/</link>
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            <pubDate>Mon, 17 Aug 2026 03:21:31 GMT</pubDate>
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        <p><strong>Maarten Renkema</strong>, University of Twente</p>
        
        <p><strong>Laura Lamers</strong>, University of Twente</p>
        
        <p><strong>Christoph Lutz</strong>, BI Norwegian Business School</p>
        
        <p><strong>Anna B. Holm</strong>, Aarhus University</p>
        
    
    
    
    <p>Organizations are rapidly adopting AI technologies, but this creates significant challenges including algorithmic bias and opacity. AI literacy—the knowledge, skills, and attitudes enabling individuals to engage effectively and critically with AI—has become essential for competitive survival and is now mandated by the EU&#39;s AI Act. However, research on AI literacy remains focused primarily on educational contexts and individual learners, leaving organizational and HRM perspectives largely unexplored.</p>
    
    <p>This special issue seeks to advance theoretical understanding of AI literacy as an organizational phenomenon rather than merely an individual competency. The editors invite contributions that move beyond both naive enthusiasm and dismissive skepticism, instead adopting critically engaged perspectives grounded in empirical evidence. Contributions should examine AI literacy across multiple organizational levels—individual, team, and organizational—and explore how HRM can facilitate its development and implications for HR functions and practices.</p>
    
    <p>
        Appel publié par The International Journal of Human Resource Management.
        
        <a href="https://think.taylorandfrancis.com/special_issues/ai-literacy-at-work-implications-for-human-resource-management/">Lire l'appel complet sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/tandf-ai-literacy-at-work-implications-for-human-resource-management/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>Implications of AI literacy for core HRM functions including recruitment, selection, learning and development, performance management, and employee well-being</li>
        
        <li>Organizational AI literacy: design, implementation, and governance of HRM activities</li>
        
        <li>Emergence mechanisms through which individual AI literacy becomes collective organizational capability</li>
        
        <li>Relationship between organizational AI literacy and adjacent constructs such as organizational AI readiness</li>
        
        <li>Competition for AI talent and inequality implications</li>
        
        <li>Team design and composition to enable and develop AI literacy</li>
        
        <li>HRM and HRD practices supporting AI-literate teams including workforce planning, staffing, job design, and training</li>
        
        <li>Levels and combinations of AI literacy needed across different teams and roles</li>
        
        <li>Manifestation of AI literacy in everyday work practices</li>
        
        <li>Technical, ethical and practical dimensions of AI literacy in AI-mediated recruitment</li>
        
        <li>AI literacy&#39;s influence on employees&#39; AI overreliance and fairness perceptions</li>
        
        <li>AI literacy of HR professionals and its influence on adoption of AI tools</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>Invalid DateTime: Special issue completion</li>
        
        <li>September 1, 2026: Special Issue announced</li>
        
        <li>February 1, 2027: Submission window opens</li>
        
        <li>April 30, 2027: Submission deadline</li>
        
        <li>July 1, 2027: Decision on first submissions</li>
        
    </ul>
    
    
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