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        <title>kerostig | Tag : decision making</title>
        <link>https://kerostig.org/tag/decision-making/</link>
        <description>Derniers appels à publications avec le tag 'decision making'.</description>
        <lastBuildDate>Mon, 05 Oct 2026 10:15:17 GMT</lastBuildDate>
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            <title>kerostig | Tag : decision making</title>
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            <link>https://kerostig.org/tag/decision-making/</link>
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        <copyright>Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs.</copyright>
        <item>
            <title><![CDATA[Multiple Objective Programming and Goal Programming: Artificial Intelligence for Decision Making in Economic and Social Sciences]]></title>
            <link>https://kerostig.org/call/springer-multiple-objective-programming-and-goal-programming-artificial-intelligence-for-decision-making-in-economic-and-social-sciences/</link>
            <guid>springer-multiple-objective-programming-and-goal-programming-artificial-intelligence-for-decision-making-in-economic-and-social-sciences</guid>
            <pubDate>Tue, 11 Aug 2026 21:25:02 GMT</pubDate>
            <content:encoded><![CDATA[
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        <p><strong>Matteo Rocca</strong>, University of Insubria</p>
        
        <p><strong>Davide La Torre</strong>, Skema Business School</p>
        
        <p><strong>Constantin Zopounidis</strong>, Technical University of Crete</p>
        
    
    
    
    <p>This special issue focuses on the intersection of Multiple Objective Optimization, Goal Programming, and Artificial Intelligence, addressing complex decision-making challenges in economics and social sciences. The collection seeks papers that combine these three domains to develop frameworks where optimization methods prioritize conflicting objectives, goal programming establishes specific targets, and AI enhances decision models through data analytics and machine learning.</p>
    
    <p>The special issue welcomes both papers substantially extending contributions presented at the 16th International Conference on Multiple Objective Programming and Goal Programming (MOPGP&#39;25) and new original work addressing theories and applications of MOP, GP, and AI in economic and social contexts.</p>
    
    <p>
        Appel publié par Annals of Operations Research.
        
        <a href="https://link.springer.com/collections/bffeaajcfi">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/springer-multiple-objective-programming-and-goal-programming-artificial-intelligence-for-decision-making-in-economic-and-social-sciences/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>Advancements in Multiple Objective Programming Techniques</li>
        
        <li>Goal Programming Techniques and Formulations</li>
        
        <li>Goal Programming Approaches in Public Policy</li>
        
        <li>AI-Enhanced Decision Support Systems for Resource Allocation</li>
        
        <li>Data-Driven Methods in Economic and Social Decision-Making</li>
        
        <li>Integrating Machine Learning with MOP</li>
        
        <li>Multicriteria Deep Learning</li>
        
        <li>Applications of MOP and GP in Sustainable Development</li>
        
        <li>Real-Time Decision-Making Frameworks Using AI</li>
        
        <li>Comparative Studies of MOP and GP in Various Contexts</li>
        
        <li>Multi-Criteria Decision Analysis in Sustainable Economics</li>
        
        <li>Multiple Criteria Decision Making in Environmental Economics</li>
        
        <li>Optimization Models for Social Welfare</li>
        
        <li>Behavioural Insights in Multi-Objective Decision-Making</li>
        
        <li>Metaheuristics and Computational Methods in MOP</li>
        
        <li>MOP and MCDM in AI applications</li>
        
        <li>Innovative Applications to Economic and Social Sciences</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>June 30, 2027: Submission deadline</li>
        
    </ul>
    
    
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            <title><![CDATA[Extended Reality (XR) for Enhanced Decision Making and Organizational Transformation]]></title>
            <link>https://kerostig.org/call/elsevier-extended-reality-xr-for-enhanced-decision-making-and-organizational-transformation/</link>
            <guid>elsevier-extended-reality-xr-for-enhanced-decision-making-and-organizational-transformation</guid>
            <pubDate>Tue, 11 Aug 2026 10:27:21 GMT</pubDate>
            <content:encoded><![CDATA[
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    <p>This special issue focuses on the transformative potential of Extended Reality (XR) technologies—including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—in enhancing decision-making processes and driving organizational transformation. As organizations increasingly face complex challenges requiring rapid, data-driven decisions, XR technologies offer innovative approaches to visualize information, simulate scenarios, and facilitate collaborative problem-solving in immersive environments.</p>
    
    <p>The special issue welcomes original research contributions that explore how XR can improve decision support systems across various organizational contexts. We are interested in studies examining the effectiveness of immersive technologies in enhancing situational awareness, reducing decision-making time, improving decision quality, and fostering organizational innovation. Both theoretical frameworks and practical implementations are encouraged.</p>
    
    <p>
        Appel publié par Decision Support Systems.
        
        <a href="https://www.sciencedirect.com/special-issue/334253/extended-reality-xr-for-enhanced-decision-making-and-organizational-transformation">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-extended-reality-xr-for-enhanced-decision-making-and-organizational-transformation/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>Applications of XR technologies in decision support systems</li>
        
        <li>Immersive visualization for complex data analysis</li>
        
        <li>VR/AR/MR interfaces for business intelligence</li>
        
        <li>XR-based training and knowledge transfer for organizational learning</li>
        
        <li>Human-computer interaction in extended reality environments</li>
        
        <li>User experience and usability in XR decision support applications</li>
        
        <li>Integration of XR with artificial intelligence and machine learning</li>
        
        <li>Real-time collaboration in virtual/mixed reality spaces</li>
        
        <li>XR applications in crisis management and emergency response</li>
        
        <li>Organizational change management through XR adoption</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>January 31, 2027: Full paper submission deadline</li>
        
    </ul>
    
    
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        <item>
            <title><![CDATA[Data Envelopment Analysis at Fifty: From efficiency measurement to intelligent data-enabled analytics and decision making]]></title>
            <link>https://kerostig.org/call/elsevier-omega-55th-anniversary-special-issue-data-envelopment-analysis-at-fifty-from-efficiency-measurement-to-intelligent-data-enabled-analytics-and-decision-making/</link>
            <guid>elsevier-omega-55th-anniversary-special-issue-data-envelopment-analysis-at-fifty-from-efficiency-measurement-to-intelligent-data-enabled-analytics-and-decision-making</guid>
            <pubDate>Tue, 11 Aug 2026 10:27:21 GMT</pubDate>
            <content:encoded><![CDATA[
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    <p>This special issue celebrates the 55th anniversary of Omega journal and marks fifty years since the introduction of Data Envelopment Analysis (DEA). The special issue seeks to showcase the evolution of DEA from its origins as a tool for efficiency measurement to its current applications in intelligent data-enabled analytics and decision making.</p>
    
    <p>
        Appel publié par Omega.
        
        <a href="https://www.sciencedirect.com/special-issue/335920/omega-55th-anniversary-special-issue-data-envelopment-analysis-at-fifty-from-efficiency-measurement-to-intelligent-data-enabled-analytics-and-decision-making">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-omega-55th-anniversary-special-issue-data-envelopment-analysis-at-fifty-from-efficiency-measurement-to-intelligent-data-enabled-analytics-and-decision-making/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>May 31, 2027: Submission deadline</li>
        
    </ul>
    
    
</div>
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