Johannes Siebert

Tag: Johannes Siebert

  • Richard Price Award for MCI Professor Johannes Siebert

    Richard Price Award for MCI Professor Johannes Siebert

    Recognition for contributions to Data Science and its application in planning and prioritization decisions

    Johannes Siebert, Professor of Decision Sciences, Behavioral Economics and Supply Chain Management at MCI | The Entrepreneurial School®, has received the Richard Price Award from the International Academy of Information Technology and Quantitative Management (IAITQM) and has also been elected a “Fellow” of the Academy. The award was presented at the 13th International Conference on Information Technology and Quantitative Management (ITQM 2026) in Rouen. The Richard Price Award honors individuals who have made outstanding contributions to the theory, methodology and application of Data Science. The award is named after Richard Price, whose posthumous publication of Bayes’ theorem laid a foundation for modern data-based inference.

    With the award, IAITQM recognizes Siebert’s work at the interface of Data Science and decision-making. His research program combines data-driven and AI-supported approaches with multicriteria decision methods and provides methodologically sound, empirically validated approaches for translating analytical results into well-founded resource and capital allocation decisions under uncertainty. The practical value of this approach is demonstrated by applications in industry and the public sector. For Bayer AG, Siebert contributed, together with Strategic Decisions Group, to the development of a model for prioritising the early-stage development pipeline (published in Decision Analysis, 2022). The project was a 2020 finalist for the Practice Award of the Decision Analysis Society (INFORMS); in total, Siebert has been a finalist for this award three times. In 2014, together with Ralph L. Keeney, he advised the California Department of Transportation (Caltrans) in the framing phase of a pilot project on prioritising highway and bridge projects worth around USD 2.3 billion a year at the time.

    “Data Science is fundamentally changing how decisions are made – at the same time, the importance of structured, value-focused decision processes has never been greater. This recognition encourages me to continue advancing this field in research, practice and teaching,” says Johannes Siebert.

    At MCI, Siebert conducts research and teaches in data-based decision-making, Business Analytics, Behavioral Economics and multicriteria methods, with a particular focus on the role of Artificial Intelligence in entrepreneurial planning, prioritization and control decisions. This orientation strengthens innovation, digitalization and future-oriented capabilities in academia and business alike. Beyond research, Siebert brings his findings into decision education programs, thereby extending the impact of decision competence beyond the university.

    “This recognition underscores the international significance of MCI research in the fields of Entrepreneurship and Decision Making. It shows that innovative research on entrepreneurial action and intelligent decision-making is recognized worldwide and sustainably strengthens MCI’s international reputation,” adds MCI-Head of Research & Development Martin Pillei.

    Siebert’s academic references include a paper co-authored with Ralph L. Keeney (Duke University) in Operations Research, one of the world’s leading journals in the field. His work has also received extensive international recognition: the Inspirational Achievement Award of the Society of Decision Professionals (SDP), the Best Research Paper Award of the Decision Sciences Journal of Innovative Education (2023), finalist status for the European Award for Excellence in Teaching in the Social Sciences and Humanities, and a TEDx talk with more than 175,000 views.

    The original press release can be found here: https://www.mci.edu/en/news-filter-en/117-studyprogram-news/276-news-business-management-for-professionals/7387-richard-price-award-for-mci-professor-johannes-siebert

    Official sources: IAITQM Award Page · MCI Press Release

  • Realize your dreams through sound decision making

    Realize your dreams through sound decision making

    In an article in the FOCUS Online Expert Circle, I explain the biggest mistake made in decision-making and how to easily avoid it.

    The biggest mistake is that many people are content with the default decision-making situations and don’t actively engage with what they should (actually) be deciding on. It’s essential to think outside the box and (pro-)actively take control of our own decisions.

    And there is hope! Proactive decision-making is a skill that anyone can learn. A practical approach is to think through every decision-making situation with three key questions in mind:

    1. How can we best define decision-making situations?

    2. How can we identify the objectives relevant to a decision?

    3. How do we discover excellent options for action?

    I answer these and other questions in the interview. Read the full article here: https://www.focus.de/experts/fundierte-entscheidungsfindung-stellen-sie-sich-drei-schluesselfragen-um-traeume-zu-verwirklichen_id_259706293.html

    I also discuss the importance of being your own decision architect—a concept I explore in more depth in my TEDx Talk.

    English TEDxTalk: https://bit.ly/TEDxTalkSiebert

    German translation: https://bit.ly/TEDxTalkText

    Looking for more in-depth insights? My free online course “Proactively making smart decisions” is waiting for you with comprehensive material – ideal for a rainy February. Discover strategies for making smart decisions and expanding your horizons from the comfort of your own home. Register now and take the opportunity to expand your knowledge!

    Discover the course: https://imoox.at/course/smartentscheiden

    I was hoping you could stay up to date and not miss any of my posts in the FOCUS Online Expert Circle. Follow me and network with me for exciting insights and current discussions. I look forward to exchanging ideas with you!