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

Item Type	Conference or Workshop Item (Paper)
Abstract	In this paper we develop a novel interactive and highly visual inter- face 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 amajor role in the process ofstrategic 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 exist- ing 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).
Authors	Eppler, Martin & Muntwiler, Christian
Language	English
Subjects	business studies information management social sciences
HSG Classification	contribution to scientific community
Date	April 2021
Publisher	Springer
Place of Publication	Cham
Volume	1378
Page Range	670-677
Title of Book	Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing
Event Title	4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET-AI 2021)
Event Location	Strasbourg
Event Dates	April 28-30, 2021
ISBN	978-3-030-74009-2
Publisher DOI	https://doi.org/10.1007/978-3-030-74009-2_85
Official URL	https://link.springer.com/chapter/10.1007/978-3-03...
Depositing User	Christian Muntwiler
Date Deposited	22 Apr 2021 12:59
Last Modified	20 Jul 2022 17:45
URI:	https://www.alexandria.unisg.ch/publications/263068

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Eppler, Martin & Muntwiler, Christian: BIASMAP – Developing a Visual Typology and Interface to Explore and Understand Decision-Making Errors in Management. 2021. - 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET-AI 2021). - Strasbourg.

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https://www.alexandria.unisg.ch/id/eprint/263068

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