<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/">
    <channel>
        <title>kerostig | Tag : decision support systems</title>
        <link>https://kerostig.org/tag/decision-support-systems/</link>
        <description>Derniers appels à publications avec le tag 'decision support systems'.</description>
        <lastBuildDate>Mon, 05 Oct 2026 10:15:17 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>https://github.com/jpmonette/feed</generator>
        <language>fr</language>
        <image>
            <title>kerostig | Tag : decision support systems</title>
            <url>https://kerostig.org/public/favicon/android-chrome-96x96.png</url>
            <link>https://kerostig.org/tag/decision-support-systems/</link>
        </image>
        <copyright>Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs.</copyright>
        <item>
            <title><![CDATA[Decision Support Systems for Sustainable and Resilient Transitions]]></title>
            <link>https://kerostig.org/call/tandf-decision-support-systems-for-sustainable-and-resilient-transitions/</link>
            <guid>tandf-decision-support-systems-for-sustainable-and-resilient-transitions</guid>
            <pubDate>Sun, 06 Sep 2026 09:51:06 GMT</pubDate>
            <content:encoded><![CDATA[
<div>
    
        
        <p><strong>Femi Olan</strong>, University of Essex</p>
        
        <p><strong>Uchitha Jayawickrama</strong>, Loughborough University</p>
        
        <p><strong>Shaofeng Liu</strong>, University of Plymouth</p>
        
    
    
    
    <p>This special issue seeks high-quality research on Decision Support Systems (DSS) that address sustainable and resilient transitions across organisations, societies, and supply chains. In environments characterised by technological disruption, environmental threats, and changing workforce demands, DSS models, frameworks, tools, and applications are essential for enabling evidence-based decision-making and strategic adaptation.</p>
    
    <p>The call welcomes contributions exploring both theoretical foundations and practical applications of DSS across four main areas: green and sustainable transitions, digital transformation, workforce and skills transitions, and resilient supply chains. Submissions should demonstrate how DSS support organisations and societies in balancing efficiency with sustainability and resilience objectives while navigating rapid change.</p>
    
    <p>Relevant submissions include conceptual models, quantitative frameworks with performance indicators, empirical case studies, interdisciplinary approaches, and critical analyses of adoption barriers and governance considerations for DSS implementation in transitions.</p>
    
    <p>
        Appel publié par Journal of Decision Systems.
        
        <a href="https://think.taylorandfrancis.com/special_issues/decision-support-systems-for-sustainable-and-resilient-transitions/">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/tandf-decision-support-systems-for-sustainable-and-resilient-transitions/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>DSS for Green and Sustainable Transitions: DSS for integrating environmental and circular economy goals, establishing indicators and metrics for production sustainability</li>
        
        <li>DSS for Digital Transformation: AI-powered DSS supporting digitalisation, automation, and advanced analytics in manufacturing, logistics, and workforce management</li>
        
        <li>DSS for Workforce and Skills Transitions: DSS for workforce re-skilling, hybrid work planning, and change management</li>
        
        <li>DSS for Resilient Supply Chains, Organisations and Societies: DSS frameworks for supply chain mapping, disruption visibility, dynamic reconfiguration, organisational learning and society regeneration</li>
        
        <li>Conceptual models for DSS-enabled sustainability and resilience in businesses, organisations, supply chains and societies</li>
        
        <li>Quantitative frameworks and key performance indicators (KPIs) measuring how decisions shape sustainability goals for transitions</li>
        
        <li>Empirical studies or case-based investigations bridging theories and practice</li>
        
        <li>Interdisciplinary methods bridging technological and organisational/societal readiness for sustainable change</li>
        
        <li>Critical perspectives on DSS technology adoption barriers, human factors, social-economic values and governance frameworks</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>September 30, 2026: Paper submission deadline</li>
        
    </ul>
    
    
</div>
]]></content:encoded>
        </item>
        <item>
            <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[
<div>
    
    
    
    <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>
    
    
</div>
]]></content:encoded>
        </item>
        <item>
            <title><![CDATA[Blockchain Technology and Applications]]></title>
            <link>https://kerostig.org/call/elsevier-blockchain-technology-and-applications/</link>
            <guid>elsevier-blockchain-technology-and-applications</guid>
            <pubDate>Thu, 18 Aug 2022 06:37:25 GMT</pubDate>
            <content:encoded><![CDATA[
<div>
    
    
    
    <p>
        Appel publié par Decision Support Systems.
        
        <a href="https://www.sciencedirect.com/special-issue/239002/dss-special-issue-on-blockchain-technology-and-applications">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-blockchain-technology-and-applications/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>Blockchain consensus mechanisms and protocols</li>
        
        <li>Smart contracts design, verification, and optimization</li>
        
        <li>Blockchain scalability and performance optimization</li>
        
        <li>Security and privacy in blockchain systems</li>
        
        <li>Blockchain interoperability and cross-chain solutions</li>
        
        <li>Supply chain management using blockchain</li>
        
        <li>Healthcare applications of blockchain</li>
        
        <li>Financial services and cryptocurrency applications</li>
        
        <li>Identity management and authentication using blockchain</li>
        
        <li>Data integrity and provenance tracking</li>
        
        <li>Blockchain governance and regulation</li>
        
        <li>Energy efficiency in blockchain systems</li>
        
        <li>Integration of blockchain with AI and machine learning</li>
        
        <li>Blockchain for IoT (Internet of Things) applications</li>
        
        <li>Enterprise blockchain implementations</li>
        
    </ul>
    
    
    
</div>
]]></content:encoded>
        </item>
    </channel>
</rss>