Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions

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 500 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.

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Publication Details

Journal
Management Research Review
Published
2024-10-28
DOI
https://doi.org/10.1108/mrr-11-2022-0793
Citations
1
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
0.54
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article

Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions

Martin J. Eppler, Christian Muntwiler, Fabian Buder, Matthias Unfried
1 citations
Management Research Review
Decision-Making and Behavioral Economics
0.54
article

Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions

Martin J. Eppler, Christian Muntwiler, Fabian Buder, Matthias Unfried
article en
1 citations

Abstract

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 500 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.

Management Research ReviewVol. 48(2)
University of St.Gallen (CH), Institut für Arbeitsmarkt und Berufsforschung (DE), Nuremberg Hospital (DE)
Openalex Percentile: Top 33%
Decision-Making and Behavioral Economics
0.54
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Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions — Martin J. Eppler, Christian Muntwiler, et al. · Management Research Review (2024) | TGRS Research Map | TGRS