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BIASMAP – Developing a Visual Typology and Interface to Explore and Understand Decision-Making Errors in Management

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Human Interaction, Emerging Technologies and Future Applications IV (IHIET-AI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1378))

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Abstract

In this paper we develop a novel interactive and highly visual interface to make current research about cognitive biases in strategic decision-making processes widely available to non-experts in management, administration, and engineering. Cognitive biases play a major role in the process of strategic decision-making. Thus, the recognition, compilation, and understanding of these biases is crucial to develop approaches to debias decisions. The literature on cognitive biases is highly fragmented and includes various research fields. This makes it difficult to gain an overview or find relevant biases quickly. To structure this knowledge, we have developed a typology of cognitive biases based on existing classificatory frameworks and an integrative literature analysis. This led to a two-dimensional typology combining the psychological view on cognitive biases with a decision process-oriented perspective. As a result, knowledge about 187 cognitive biases that affects decision-making is presented in a practice-oriented structure (viewable at bias.visual-literacy.org).

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Authors and Affiliations

  1. Institute for Media and Communication Management, University of St. Gallen, Blumenbergplatz 9, 9000, St. Gallen, Switzerland

    Martin Eppler & Christian Muntwiler

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  1. Martin Eppler
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  2. Christian Muntwiler
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Correspondence to Christian Muntwiler .

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Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Campus du Moulin de la Housse, Université de Reims Champagne-Ardenne GRESPI, Reims Cedex 2, France

    Redha Taiar

  3. Directrice Hôpitaux Universitaires de Strasbourg, IFMK, Strasbourg, France

    Fabienne Groff

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Eppler, M., Muntwiler, C. (2021). BIASMAP – Developing a Visual Typology and Interface to Explore and Understand Decision-Making Errors in Management. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_85

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