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        <title>kerostig | Tag : management</title>
        <link>https://kerostig.org/tag/management/</link>
        <description>Derniers appels à publications avec le tag 'management'.</description>
        <lastBuildDate>Mon, 05 Oct 2026 10:15:16 GMT</lastBuildDate>
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            <title>kerostig | Tag : management</title>
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            <link>https://kerostig.org/tag/management/</link>
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        <copyright>Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs.</copyright>
        <item>
            <title><![CDATA[Advances in Forecasting Using Contemporary AI Methods in Finance, Accounting, Management, and Economics]]></title>
            <link>https://kerostig.org/call/wiley-advances-in-forecasting-using-contemporary-ai-methods-in-finance-accounting-management-and-economics/</link>
            <guid>wiley-advances-in-forecasting-using-contemporary-ai-methods-in-finance-accounting-management-and-economics</guid>
            <pubDate>Sat, 26 Sep 2026 23:07:58 GMT</pubDate>
            <content:encoded><![CDATA[
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        <p><strong>Karathanasopoulos Andreas</strong>, :null</p>
        
        <p><strong>Kung Cheng Ho</strong>, :null</p>
        
        <p><strong>Hans von Mettenheim</strong>, :null</p>
        
    
    
    
    <p>This special issue focuses on the application of advanced artificial intelligence methods—including deep learning, transformer models, and large language models—to forecasting problems across finance, accounting, management, and economics. The issue seeks to explore how these AI techniques can improve forecast accuracy and support decision-making while examining their theoretical foundations and practical implications.</p>
    
    <p>The issue welcomes interdisciplinary research addressing both technical and ethical dimensions of AI forecasting, including fairness, reproducibility, interpretability, and regulatory considerations. Contributions comparing AI approaches with traditional econometric methods, developing hybrid strategies, or investigating how human judgment interacts with algorithmic predictions are particularly encouraged.</p>
    
    <p>
        Appel publié par Journal of Forecasting.
        
        <a href="https://onlinelibrary.wiley.com/page/journal/1099131x/call-for-papers/advances-in-forecasting">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/wiley-advances-in-forecasting-using-contemporary-ai-methods-in-finance-accounting-management-and-economics/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>AI in financial forecasting (e.g., asset pricing, portfolio allocation, cryptocurrency markets)</li>
        
        <li>AI in accounting forecasting (e.g., fraud detection, reporting quality, risk assessment)</li>
        
        <li>AI in management forecasting (e.g., strategic decision-making, supply chain modelling)</li>
        
        <li>AI in economic forecasting (e.g., macroeconomic indicators, behavioral responses, sectoral trends)</li>
        
        <li>Ethical, regulatory, and practical dimensions of AI in forecasting (data governance, model fairness, reproducibility, interpretability)</li>
        
        <li>Comparisons between AI-based approaches and traditional econometric techniques</li>
        
        <li>Hybrid modelling strategies combining AI with traditional methods</li>
        
        <li>Interaction between human judgment and algorithmic outputs</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>September 30, 2027: Submission deadline</li>
        
    </ul>
    
    
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        <item>
            <title><![CDATA[Management in Emerging, Developing, and Transition Economies: Context, Mechanisms, and Outcomes]]></title>
            <link>https://kerostig.org/call/emerald-management-in-emerging-developing-and-transition-economies-context-mechanisms-and-outcomes/</link>
            <guid>emerald-management-in-emerging-developing-and-transition-economies-context-mechanisms-and-outcomes</guid>
            <pubDate>Sun, 06 Sep 2026 09:51:06 GMT</pubDate>
            <content:encoded><![CDATA[
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    <p>Most management research has been developed in Western contexts, leaving significant gaps in understanding leadership and organizational practices in emerging, developing, and transition economies—regions that now generate nearly half of global economic output. These economies operate under distinct institutional conditions where formal institutions are incomplete or unevenly enforced, requiring firms to rely on alternative coordination mechanisms and making context a primary determinant of business strategy and performance.</p>
    
    <p>This special issue addresses this literature gap by centering emerging, developing, and transition economies as objects of theoretical inquiry rather than control variables. It invites studies across governance, entrepreneurship, sustainability, and leadership that examine how management practices evolve, adapt, or are translated when formal rules and infrastructures cannot be taken for granted. The call welcomes quantitative surveys, experiments, qualitative ethnographies, mixed-methods research, and conceptual work, particularly comparative studies spanning regions or contrasting different institutional settings.</p>
    
    <p>
        Appel publié par Baltic Journal of Management.
        
        <a href="https://www.emerald.com/bjm/calls-for-submissions/1781/Management-in-Emerging-Developing-and-Transition?searchresult=1">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/emerald-management-in-emerging-developing-and-transition-economies-context-mechanisms-and-outcomes/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>How and with what consequences do firms substitute private or community governance for missing or unreliable formal institutions, and which mechanisms make these substitutes durable or fragile?</li>
        
        <li>Which configurations of resources, networks, and legitimacy enable opportunity discovery and scaling in thin or nascent markets, and how do founders and top managers navigate uncertainty and institutional gaps across growth stages?</li>
        
        <li>Under resource constraints and uneven enforcement, what capability bundles allow firms to align environmental initiatives with competitive outcomes, and how do local cultural or state priorities shape these trajectories?</li>
        
        <li>How do reporting, budgeting, and control systems adapt when enforcement is uneven, and what are the implications for investment, innovation, market signals, and stakeholder trust in emerging markets?</li>
        
        <li>How do contextual communication and power structures condition the effectiveness of leadership, employee voice, engagement, and performance systems in transition settings, and what are the boundary conditions for transferability?</li>
        
        <li>How do commitments to learning and open innovation translate into performance when institutions are in flux, and which organisational routines, such as bricolage, mediate these effects?</li>
        
        <li>How do political ties, state ownership, or party networks shape strategic decision-making, board dynamics, and accountability in firms and hybrid organisations operating under volatile or contested regulatory regimes?</li>
        
        <li>How do gender, ethnicity, and other social cleavages intersect with institutional voids to shape leadership careers, informal influence, and patterns of inclusion and exclusion inside organisations?</li>
        
        <li>In conflict-affected, fragile, or post-disaster settings, which leadership practices and governance arrangements enable organisational resilience, continuity of services, and recovery, and what trade-offs do they imply?</li>
        
        <li>How do regional, cross-border, or diaspora networks among managers, professionals, and researchers mediate the transfer, translation, and contestation of management ideas and leadership models across institutional contexts?</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>January 12, 2026: Opening date for manuscripts submissions</li>
        
        <li>January 4, 2027: Closing date for manuscripts submission</li>
        
    </ul>
    
    
</div>
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        <item>
            <title><![CDATA[Management, organisations et économie circulaire]]></title>
            <link>https://kerostig.org/call/mi-management-organisations-et-economie-circulaire/</link>
            <guid>mi-management-organisations-et-economie-circulaire</guid>
            <pubDate>Wed, 12 Aug 2026 16:46:36 GMT</pubDate>
            <content:encoded><![CDATA[
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        <p><strong>Luc Brès</strong>, Université Laval</p>
        
        <p><strong>Raymond Paquin</strong>, Université Concordia</p>
        
        <p><strong>Thomas Bauwens</strong>, Université Erasmus</p>
        
        <p><strong>Emmanuel Raufflet</strong>, HEC Montréal</p>
        
        <p><strong>Adriane MacDonald</strong>, Université Concordia</p>
        
        <p><strong>Bart van Hoof</strong>, Université des Andes de Bogota</p>
        
    
    
    
    <p>
        Appel publié par Management international.
        
        <a href="https://www.managementinternational.ca/2025/01/06/management-organisations-et-economie-circulaire/">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/mi-management-organisations-et-economie-circulaire/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>March 6, 2025: |Call for papers announcement date</li>
        
    </ul>
    
    
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        <item>
            <title><![CDATA[Generative AI in High-Pressure Work Contexts: Behavioral Mechanisms Shaping Managerial and Employee Decision-Making]]></title>
            <link>https://kerostig.org/call/elsevier-generative-ai-in-high-pressure-work-contexts-behavioral-mechanisms-shaping-managerial-and-employee-decision-making/</link>
            <guid>elsevier-generative-ai-in-high-pressure-work-contexts-behavioral-mechanisms-shaping-managerial-and-employee-decision-making</guid>
            <pubDate>Tue, 11 Aug 2026 10:27:21 GMT</pubDate>
            <content:encoded><![CDATA[
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    <p>
        Appel publié par Journal of Business Research.
        
        <a href="https://www.sciencedirect.com/special-issue/330184/generative-ai-in-high-pressure-work-contexts-behavioral-mechanisms-shaping-managerial-and-employee-decision-making">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-generative-ai-in-high-pressure-work-contexts-behavioral-mechanisms-shaping-managerial-and-employee-decision-making/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>December 31, 2026: Submission deadline</li>
        
    </ul>
    
    
</div>
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        <item>
            <title><![CDATA[The agentic revolution: Managing in the era of AI agents]]></title>
            <link>https://kerostig.org/call/elsevier-the-agentic-revolution-managing-in-the-era-of-ai-agents/</link>
            <guid>elsevier-the-agentic-revolution-managing-in-the-era-of-ai-agents</guid>
            <pubDate>Tue, 11 Aug 2026 10:27:21 GMT</pubDate>
            <content:encoded><![CDATA[
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    <p>
        Appel publié par Business Horizons.
        
        <a href="https://www.sciencedirect.com/special-issue/335057/the-agentic-revolution-managing-in-the-era-of-ai-agents">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-the-agentic-revolution-managing-in-the-era-of-ai-agents/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>October 1, 2026: Submission deadline</li>
        
    </ul>
    
    
</div>
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