M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks,”10.1016/j.iot.2023.100786__Internet of Things, vol. 22, Art. no. 100786, 2023, doi:10.1016/j.iot.2023.100786 .
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M. Tavana, M. Soltanifar, F. J. Santos-Arteaga, and H. Sharafi, “Analytic hierarchy process and data envelopment analysis: A match made in heaven,”10.1016/j.eswa.2023.119902__Expert Systems with Applications, vol. 223, Art. no. 119902, 2023, doi:10.1016/j.eswa.2023.119902 .
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F. J. Santos-Arteaga, D. Di Caprio, M. Tavana, and E. C. Tena, “A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation,”10.1109/tfuzz.2022.3188875__IEEE Transactions on Fuzzy Systems, vol. 31, no. 2, pp. 460–474, 2023, doi:10.1109/tfuzz.2022.3188875 .
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E. B. Tirkolaee, A. E. Torkayesh, M. Tavana, A. Goli, V. Simic, and W. Ding, “An integrated decision support framework for resilient vaccine supply chain network design,”10.1016/j.engappai.2023.106945__Engineering Applications of Artificial Intelligence, vol. 126, Art. no. 106945, 2023, doi:10.1016/j.engappai.2023.106945 .
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H. A. Mahdiraji, M. Tavana, and A. Rezayar, “A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability,”10.1080/01969722.2022.2055402__Cybernetics and Systems, vol. 54, no. 1, pp. 104–137, 2023, doi:10.1080/01969722.2022.2055402 .
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J.-P. Kucklick, “Visual Interpretability of Image-based Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
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J.-P. Kucklick, “Towards a model- and data-focused taxonomy of XAI systems,” presented at the Wirtschaftsinformatik 2022 (W), Nürnberg (online), 2022.
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M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “Potentials and challenges of analyzing use phase data in product planning of manufacturing companies,”10.1017/s0890060421000408__Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 36, Art. no. e14, 2022, doi:10.1017/s0890060421000408 .
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C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control,”10.1109/thms.2022.3212335__IEEE Transactions on Human-Machine Systems, pp. 1–11, 2022, doi:10.1109/thms.2022.3212335 .
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K. Rohlfing et al., “Social/dialogical roles of social robots in supporting children’s learning of language and literacy—A review and analysis of innovative roles,”10.3389/frobt.2022.971749__Frontiers in Robotics and AI, vol. 9, 2022, doi:10.3389/frobt.2022.971749 .
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R. Schade et al., “Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms,”10.1016/j.parco.2022.102920__Parallel Computing, vol. 111, Art. no. 102920, 2022, doi:10.1016/j.parco.2022.102920 .
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J. A. Hoppe et al., “When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty,”10.1016/j.chbr.2022.100258__Computers in Human Behavior Reports, vol. 9, Art. no. 100258, 2022, doi:10.1016/j.chbr.2022.100258 .
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J. A. Hoppe et al., “When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty,”10.1016/j.chbr.2022.100258__Computers in Human Behavior Reports, Art. no. 100258, 2022, doi:10.1016/j.chbr.2022.100258 .
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DOI: 10.1016/j.chbr.2022.100258

J. A. Hoppe et al., “When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty,”10.1016/j.chbr.2022.100258__Computers in Human Behavior Reports, vol. 9, Art. no. 100258, 2022, doi:10.1016/j.chbr.2022.100258 .
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M. Muschalik, F. Fumagalli, B. Hammer, and E. Hüllermeier, “Agnostic Explanation of Model Change based on Feature Importance,”10.1007/s13218-022-00766-6__KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 211–224, 2022, doi:10.1007/s13218-022-00766-6 .
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U. Schmid and B. Wrede, “What is Missing in XAI So Far?,”10.1007/s13218-022-00786-2__KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 303–315, 2022, doi:10.1007/s13218-022-00786-2 .
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DOI: 10.1007/s13218-022-00786-2

U. Schmid and B. Wrede, “Explainable AI,”10.1007/s13218-022-00788-0__KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 207–210, 2022, doi:10.1007/s13218-022-00788-0 .
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B. Wrede, “AI: Back to the Roots?,”10.1007/s13218-022-00773-7__KI - Künstliche Intelligenz, vol. 36, no. 2, pp. 117–120, 2022, doi:10.1007/s13218-022-00773-7 .
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J. B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, and K. Rohlfing, “Exploring Monological and Dialogical Phases in Naturally Occurring Explanations,”10.1007/s13218-022-00787-1__KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 317–326, 2022, doi:10.1007/s13218-022-00787-1 .
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DOI: 10.1007/s13218-022-00787-1

M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation of Model Change based on Feature Importance,”10.1007/s13218-022-00766-6__KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 211–224, 2022, doi:10.1007/s13218-022-00766-6 .
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