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    Two Tales of Uncertainty: Calibrating Overprecision With Self‐Regulated Entrepreneurial Learning
    Entrepreneurial success strongly depends on decision-making under uncertainty. Uncertainty is particularly pronounced whenentrepreneurs are confronted with novel situations characterized by an absence of information. While cognitive biases, such asoverprecision, can have a negative impact on decision-making processes by distorting information-processing, self-regulatedentrepreneurial learning (SREL) has been found to be beneficial when navigating the uncertain entrepreneurial environment,but its potential to calibrate overprecision remains unclear. This study addresses this gap by investigating whether an SREL in-tervention can calibrate overprecision, a highly detrimental form of overconfidence in entrepreneurship
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    Scopus© Citations 1
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    Over the Top? Learning to Overcome Overconfidence
    (2025-06-23)
    For entrepreneurs, overconfidence drives successful beginnings, but can also lead to disastrous ends, as it encourages venture creation decisions while potentially leading to venture failure. The omnipresence of overconfidence among entrepreneurs is hinged to the high degrees of uncertainty in the entrepreneurial environment, making it an important phenomenon of entrepreneurial cognition. Despite ample research about the consequences of overconfidence, it is unclear how entrepreneurs can avoid the overconfidence trap. Self-regulated entrepreneurial learning (SREL) has emerged as a framework to cope with uncertain environments and overconfidence, but empirical evidence is scarce. This cross-sectional survey study finds that higher SREL levels are related with lower overconfidence, a relationship that is moderated by experience.
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    TOO MANY BOLD MOVES? LEARNING HOW TO OVERCOME OVERCONFIDENCE
    (2025-06-05)
    Entrepreneurs operate in an environment with limited information, which makes them prone to cognitive biases such as overconfidence (Busenitz & Barney, 1997). One form of overconfidence, known as overprecision, describes an exaggerated belief in knowing the truth (Moore & Healy, 2008). Overprecision has been identified as particularly detrimental to firm performance in the post-launch venture phase (Kraft et al., 2022), potentially leading to firm failure (Gudmundsson & Lechner, 2013). In the early venture stages, overprecision can have positive effects as it fosters venture creation decisions (Kraft et al., 2022). However, overprecision distorts information processing, which poses a challenge for entrepreneurs who are frequently confronted with unfamiliar situations that require the acquisition and analysis of new information (Zhang et al., 2020). For example, overprecision can be detrimental when entrepreneurs ignore or misinterpret new information from negative market reactions and fail to adjust their business models accordingly (Kraft et al., 2022). While the consequences of overprecision have been extensively investigated by entrepreneurship scholars (e.g., Thomas, 2018), there remains a conundrum about how to mitigate these negative effects. Recent theoretical advances have highlighted the capacity of self-regulated entrepreneurial learning (SREL) to improve information processing and to identify knowledge gaps in novel situations (Fust et al., 2018; Winkler et al., 2023). SREL is defined as “self-generated thoughts, feelings, and actions that are proactively planned and cyclically adapted to the attainment of personal entrepreneurial goals” (Winkler et al., 2023, p. 2). SREL emphasizes that entrepreneurs can actively control their learning processes, providing a systematic and cyclical process to enhance learning capacities and better manage novel situations (Winkler et al., 2023). It comprises three phases: forethought, performance and reflection, with each phase containing a cognitive, metacognitive and motivational dimension (Fust et al., 2018). There is theoretical evidence that SREL has the potential to reduce overprecision by fostering accurate information processing (Fust et al., 2021), however, these theoretical findings lack empirical support. I address this gap by empirically investigating the relationship between SREL and overprecision, leading to the following research question: What is the relationship between SREL and overprecision among entrepreneurs?
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    Voyages real-utopiques, or: collective explorations into alternative management education futures
    In April of 2022, we met for a three-day course to reinvent management education. The days consisted of imagining and discussing how management education could, should, or must look like in the future, peppered with field trips to initiatives that organise society and education differently. For the closing of the course, and to make sense of what we had experienced, we collectively wrote and performed a play about what we imagine, hope, and fear regarding the potential futures of management education. In this paper, we elaborate on how futures are performed in management education by sharing the development and performance of the play in the context of future-making, being at the same time the ones who begin to populate and give form to these real utopias.
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    Cognitive Biases and Strategic Decision-Making: A Self-Regulation Perspective
    Entrepreneurs are prone to various cognitive biases which distort their learning and information processing. These biases vary considerably among entrepreneurs and impact information processing during strategic decision-making. While research has examined the outcomes of cognitive biases, there is a lack of knowledge on how cognitive biases impact entrepreneurial decision-making processes. To address this gap, we analyze how cognitive biases impact information processing during decision-making processes. Furthermore, we discuss how entrepreneurs can self-regulate the effects of overconfidence and attribution bias in more detail. We discern functions of cognitive biases across different entrepreneurial situations and suggest that entrepreneurs with high self-regulation are able to adapt to specific situations by monitoring and controlling their cognition and affect.
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