Johannes U. Siebert is Professor of Decision Sciences and Operations Management at MCI | THE ENTREPRENEURIAL SCHOOL® in Innsbruck, Austria, and Privatdozent at the University of Bayreuth, Germany, where he earned his doctorate and habilitation. He studies how organizations and people can make better decisions when objectives conflict and uncertainty is high – from operational questions to strategic decisions at board level. His first line of research applies decision analysis and value-focused thinking in organizations: he has published on this with Ralph L. Keeney in Operations Research and has integrated value-focused thinking with the balanced scorecard, strategy maps, and supply chain objectives. His second line studies proactive decision-making; his work in the European Journal of Operational Research shows that it can be trained and is associated with life satisfaction and retirement planning. Current projects address conflicts between operational and financial objectives, biases in supplier evaluation, and how AI can support the formulation of objectives. He has applied his methods to R&D portfolio prioritization at Bayer, a network of strategic objectives for a major European energy provider, and infrastructure investments for the California Department of Transportation. Three of his projects were finalists for the INFORMS Decision Analysis Society Practice Award. He serves on the editorial boards of EJOR, Decision Analysis, and the Journal of Multi-Criteria Decision Analysis, the Executive Committee of the International Society on MCDM, and the Coordinating Board of the EURO Working Group on Behavioural OR, and has secured more than EUR 1 million in research funding. Recent awards include the 2026 INFORMS Prize for the Teaching of OR/MS Practice, the CEEMAN Champion Award – Teacher of the Year, and the Richard Price Award in Data Science.
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