Christian Muntwiler
Title
Dr.oec.HSG
Last Name
Muntwiler
First name
Christian
Phone
+41 71 224 3475
9 results
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Item type:Publication, Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions(Emerald, 2024-10-28); ; ;Unfried, Mathias ;Buder, FabianDr Jay Janney; Prof Lerong He.Purpose This paper aims to managerial decision styles, following the General Decision-Making Style Inventory, as potential predictors of individual bias awareness and bias blind spots, with a focus on the rational decision style. Design/methodology/approach The research is based on a survey of 50°C-1 level managers within Forbes 2000 companies. It explores their decision styles and their assessments of their own and others’ decision behavior. Findings The results show that the awareness of one’s own susceptibility to biases and bias blind spots is highly dependent on an individual’s (self-declared) decision style and type of cognitive bias; decision-makers with a strong tendency toward a rational or spontaneous decision style see themselves as less vulnerable to cognitive biases but also show a much stronger bias blind spot than those with a tendency toward other decision styles. Meanwhile, decision-makers with a strong tendency toward an intuitive decision style tend to recognize their own vulnerability to cognitive biases and even show a negative blind spot, thus seeing themselves as more affected by cognitive biases than others. Originality/value To date, decision styles have not been used as a lens through which to view susceptibility to cognitive biases and bias blind spots in managerial decision-making. As demonstrated in this article, decision styles can serve as predictors of individual awareness and susceptibility to cognitive biases and bias blind spots for managers.Type:journal articleJournal:Management Research ReviewScopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improving decision making through visual
knowledge calibrationPurpose: This article aims to explore the so-called illusion of explanatory depth (IOED) of managers regarding their understanding of digital technologies and examines the effect of knowledge visualization one’s current understanding and decision making. Its purpose is to show that managers think they know more than they do and that this affects decision making but can be reduced through knowledge visualization. Design/methodology/approach: In two experiments with experienced managers, the authors investigate the size and impact of the IOED bias in decision making and examine if sketched self-explanations are as effective as written self-explanations to reduce the bias. Findings: The findings show that experienced managers suffer from a significant illusion concerning their explanatory understanding of digital technologies and that sketching one’s current level of explanatory understanding of these technologies supports the accurate calibration of one’s knowledge. The findings indicate that sketching knowledge is a helpful modality for the detection and subsequent recalibration of biased knowledge in domain-dependent decision making. Originality/value: This article is the first to explore the effect of sketched knowledge externalization on the calibration of explanatory knowledge of managers. It extends the literature on both, the IOED and on knowledge visualization as an instrument of knowledge calibration.Type:journal articleJournal:Management DecisionVolume:61Issue:8Scopus© Citations 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BIASMAP – Developing a Visual Typology and Interface to Explore and Understand Decision-Making Errors in ManagementType:conference paperVolume:1378Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Showing What You Don’t Know The Effect of Visualization on Managers’ Illusion of Explanatory Depth Regarding Strategic Digital Technologies(2019-08); In the strategy-as-practice paradigm, workshops and meetings are seen as a crucial element of the strategizing and strategic decision-making process. Decisions made in these episodes may not only be flawed due to cognitive biases, but also by a misleading view about one’s own knowledge about critical strategic issues like digital technologies. This experimental study is the first to apply the IOED theory to strategizing and shows that experienced managers indeed suffer from a significant illusion of explanatory depth (IOED) regarding their understanding of digital technologies. In terms of interventions, the study also reveals that visualizing one’s own understanding is a strong self-calibration mechanism and therefore helps strategy practitioners and facilitators of strategic episodes to reduce this illusion in their strategizing practices.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cognitive Biases and Debiasing in Strategic Decision MakingCognitive biases and their impact on decision making in general and specifically on strategic decision making have been recognized in psychological and management-related research over a long period. The vast research on this topic has unveiled more than 180 such potential flaws of decisions. The goal of this dissertation is to develop a better understanding of the role of cognitive biases in strategic decisions, how to detect and identify them and how to mitigate their influence in strategic decision practices. The articles of this dissertation provide four major contributions to the theoretical and practical knowledge on cognitive biases in strategic decision making: 1) This dissertation adds a mapping of more than 180 known cognitive biases based on the five phases of strategic decision-making processes and the three motivational backgrounds of cognitive biases. This mapping helps managers and other strategic decision makers to identify what can go wrong during their decision-making processes and allow them to recognize and anticipate these flaws, diagnose them, and take a next step towards a corrective intervention. 2) This dissertation shows for the first time the connection between the most prevalent cognitive biases, bias blind spots, and individual decision styles of managers. The resulting ranking of cognitive biases helps practitioners to focus on the tip of the iceberg and focus their corrective interventions on the most prevalent and impactful biases. The insights showed that rational and spontaneous decision makers report a smaller susceptibility for cognitive biases combined with bigger bias blind spots than other decision styles, and that intuitive decision makers have a higher awareness of their own bias susceptibility without showing bigger bias blind spots. 3) This dissertation integrates a more practice-oriented view of understanding (and communicating) debiasing techniques. This more practice-oriented understanding of debiasing techniques and the know how and where they might work supports the successful facilitation of decision-making practices in strategy. 4) And finally, this dissertation shows the relevance of the illusion of explanatory depth for strategic decisions. The results of these experiments demonstrate the need for a certain humility of managers concerning their knowledge of strategy-relevant digital technologies and that the technique of self-drawn, visual, explanations might help to overcome the individual overestimation of that knowledge.Type:doctoral thesis - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, The Awareness of Bias Susceptibility and Individual Bias Blind Spots in Managerial Decisions(2022-05); ; ;Unfried, MatthiasBuder, FabianType:working paper