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Tavana, M., Soltanifar, M., Santos-Arteaga, F. J., &; Sharafi, H. (2023). Analytic hierarchy process and data envelopment analysis: A match made in heaven. Expert Systems with Applications, 223, Article 119902.https://doi.org/10.1016/j.eswa.2023.119902 
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Santos-Arteaga, F. J., Di Caprio, D., Tavana, M., &; Tena, E. C. (2023). A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation. IEEE Transactions on Fuzzy Systems, 31(2), 460–474.https://doi.org/10.1109/tfuzz.2022.3188875 
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Tirkolaee, E. B., Torkayesh, A. E., Tavana, M., Goli, A., Simic, V., &; Ding, W. (2023). An integrated decision support framework for resilient vaccine supply chain network design. Engineering Applications of Artificial Intelligence, 126, Article 106945.https://doi.org/10.1016/j.engappai.2023.106945 
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Mahdiraji, H. A., Tavana, M., &; Rezayar, A. (2023). A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability. Cybernetics and Systems, 54(1), 104–137.https://doi.org/10.1080/01969722.2022.2055402 
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Kucklick, J.-P. (2022). Visual Interpretability of Image-based Real Estate Appraisal. 55th Annual Hawaii International Conference on System Sciences (HICSS-55). Hawaii International Conference on System Science (HICSS), Virtual.
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Kucklick, J.-P. (2022). Towards a model- and data-focused taxonomy of XAI systems. Wirtschaftsinformatik 2022 Proceedings. Wirtschaftsinformatik 2022 (W), Nürnberg (online).
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Meyer, M., Fichtler, T., Koldewey, C., &; Dumitrescu, R. (2022). Potentials and challenges of analyzing use phase data in product planning of manufacturing companies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 36, Article e14.https://doi.org/10.1017/s0890060421000408 
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Hoffmann, C., &; Thommes, K. (2022). Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions on Human-Machine Systems, 1–11.https://doi.org/10.1109/thms.2022.3212335 
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Rohlfing, K., Altvater-Mackensen, N., Caruana, N., van den Berghe, R., Bruno, B., Tolksdorf, N. F., &; Hanulíková, A. (2022). Social/dialogical roles of social robots in supporting children’s learning of language and literacy—A review and analysis of innovative roles. Frontiers in Robotics and AI, 9.https://doi.org/10.3389/frobt.2022.971749 
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Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T., &; Plessl, C. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing, 111, Article 102920.https://doi.org/10.1016/j.parco.2022.102920 
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Hoppe, J. A., Tuisku, O., Johansson-Pajala, R.-M., Pekkarinen, S., Hennala, L., Gustafsson, C., Melkas, H., &; Thommes, K. (2022). When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty. Computers in Human Behavior Reports, 9, Article 100258.https://doi.org/10.1016/j.chbr.2022.100258 
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Hoppe, J. A., Tuisku, O., Johansson-Pajala, R.-M., Pekkarinen, S., Hennala, L., Gustafsson, C., Melkas, H., &; Thommes, K. (2022). When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty. Computers in Human Behavior Reports, Article 100258.https://doi.org/10.1016/j.chbr.2022.100258 
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Hoppe, J. A., Tuisku, O., Johansson-Pajala, R.-M., Pekkarinen, S., Hennala, L., Gustafsson, C., Melkas, H., &; Thommes, K. (2022). When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty. Computers in Human Behavior Reports, 9, Article 100258.https://doi.org/10.1016/j.chbr.2022.100258 
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Muschalik, M., Fumagalli, F., Hammer, B., &; Hüllermeier, E. (2022). Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz, 36(3–4), 211–224.https://doi.org/10.1007/s13218-022-00766-6 
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Schmid, U., &; Wrede, B. (2022). What is Missing in XAI So Far? KI - Künstliche Intelligenz, 36(3–4), 303–315.https://doi.org/10.1007/s13218-022-00786-2 
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Schmid, U., &; Wrede, B. (2022). Explainable AI. KI - Künstliche Intelligenz, 36(3–4), 207–210.https://doi.org/10.1007/s13218-022-00788-0 
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Wrede, B. (2022). AI: Back to the Roots? KI - Künstliche Intelligenz, 36(2), 117–120.https://doi.org/10.1007/s13218-022-00773-7 
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Fisher, J. B., Lohmer, V., Kern, F., Barthlen, W., Gaus, S., &; Rohlfing, K. (2022). Exploring Monological and Dialogical Phases in Naturally Occurring Explanations. KI - Künstliche Intelligenz, 36(3–4), 317–326.https://doi.org/10.1007/s13218-022-00787-1 
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Muschalik, M., Fumagalli, F., Hammer, B., &; Huellermeier, E. (2022). Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz, 36(3–4), 211–224.https://doi.org/10.1007/s13218-022-00766-6 
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