Contributions published at Department of Business Administration (Egon Franck)

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We investigate how luck, namely, changes in a firm's performance beyond the CEO's control, affects strategic risk-taking. Fusing upper echelons theory with insights from psychology and behavioral strategy research, we hypothesize that there is a positive association between luck and strategic risk-taking and that this effect is stronger for bad luck than for good luck. We further argue that these effects vary depending on whether CEOs have experienced negative events earlier in their professional careers. Measuring luck as the exogenous component of recent firm performance, we show empirically that CEOs react to bad luck by adopting more conservative risk-taking policies while showing no reactions to good luck. This effect predictably varies with the strength of bad luck signals, and it is stronger for CEOs who have experienced negative events during their professional careers. We contribute to the literature by providing the first evidence on the role of luck in corporate strategic risk-taking.

Successful campaigns to combat the COVID-19 pandemic depend, in part, on people's willingness to be vaccinated. It is therefore critical to understand the factors that determine people's vaccination intentions. We applied a reasoned action approach - the theory of planned behavior - to explore these factors. We used data from an online survey of adults (18–74 years; n = 5044) conducted in Germany between April 9 and April 28, 2021 and found that attitudes toward getting vaccinated predicted vaccination intentions, while normative and control beliefs did not. In turn, positive attitudes toward getting vaccinated were supported by trust in science and fear of COVID-19 whereas negative attitudes were associated with acceptance of conspiracy theories and skepticism regarding vaccines in general. We advise policymakers, physicians, and health care providers to address vaccination hesitancy by emphasizing factors that support positive attitudes toward getting vaccinated, such as prevention of serious illness, death, and long-term health detriments, as opposed to exerting social pressure or pointing to the ease of getting vaccinated.

Successful campaigns to combat the COVID-19 pandemic depend, in part, on people's willingness to be vaccinated. It is therefore critical to understand the factors that determine people's vaccination intentions. We applied a reasoned action approach - the theory of planned behavior - to explore these factors. We used data from an online survey of adults (18–74 years; n = 5044) conducted in Germany between April 9 and April 28, 2021 and found that attitudes toward getting vaccinated predicted vaccination intentions, while normative and control beliefs did not. In turn, positive attitudes toward getting vaccinated were supported by trust in science and fear of COVID-19 whereas negative attitudes were associated with acceptance of conspiracy theories and skepticism regarding vaccines in general. We advise policymakers, physicians, and health care providers to address vaccination hesitancy by emphasizing factors that support positive attitudes toward getting vaccinated, such as prevention of serious illness, death, and long-term health detriments, as opposed to exerting social pressure or pointing to the ease of getting vaccinated.

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In this paper, we use a geometrical approach to sharpen a lower bound given in [5] for the Lipschitz modulus of the optimal value of (finite) linear programs under tilt perturbations of the objective function. The key geometrical idea comes from orthogonally projecting general balls on linear subspaces. Our new lower bound provides a computable expression for the exact modulus (as far as it only depends on the nominal data) in two important cases: when the feasible set has extreme points and when we deal with the Euclidean norm. In these two cases, we are able to compute or estimate the global Lipschitz modulus of the optimal value function in different perturbations frameworks.

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The paper explores the hierarchical structure of temperament with the inclusion of a wide catalog of temperamental constructs derived from eight different theoretical models. Analyses were conducted on a group of 412 participants aged from 16 to 79 (Mage = 28.49, SDage = 11.64), administrating nine well-established measures of temperament, with a representation of 34 different constructs. An eight-level hierarchical structure of temperament was obtained using a top-down procedure. The results are discussed twofold: (1) relating the subsequent levels of the obtained structure to the existing theories and models of temperament, and (2) regarding possible identification of the most general dimensions of temperament, that percolate the abundant catalogs of its specific constructs. The latter—considering both an empirical and theoretical perspectives—resulted in the emergence of the Big Two broad factors, being recognized as two fundamental dimensions of temperament. The first factor (Neuroticism/Emotionality) refers to general (negative) emotionality and susceptibility to react with negative affect, whereas the second (Extraversion/Sensation Seeking) is expressed in broadly understood activity and its diversity, as well as high stimuli value of functioning.

The aim of the research presented in this article was to develop a comprehensive model and measurement of marital goals. The aim of Study 1 was to validate the initial model of marital goals according to Schwartz’s model of values (defined as general transsituational goals). The sample consisted of 684 participants (50% female), all of whom were either married or cohabiting couples aged between 25 and 60 years (M = 37.2; SD = 5.3). The obtained results led to a modification of our initial theoretical model. In the final version of the model, we distinguished eight types of marital goals located in a circular way around two basic dimensions that were similar but not identical to those of Schwartz’s model: (1) oneself versus other focus and (2) relationship commitment versus avoidance. We validated the model in Study 2 in another sample of 1268 participants (50% female) with married couples aged between 18 and 86 years (M = 47.2; SD = 16.1). The measurement model was confirmed through a confirmatory factor analysis; the circular structure was confirmed through multidimensional scaling; the validity of the distinguished goals was confirmed through correlational analyses with value priorities, and marital satisfaction.

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Whether one looks at revenue, investment, or coverage, men’s sports do better than women’s. Many assume that the differences are driven by absolute differences in quality of athletic performance. However, the existence of stereotypes should alert us to another possibility: What if perceived quality is filtered through gender stereotypes? We perform an experiment showing participants video clips of elite female and male soccer players. In the control group, participants evaluated normal videos where the gender of the players was clear to see. In the treatment group, participants evaluated the same videos but with gender obscured by blurring. We find that participants only rated men’s videos higher when they knew they were watching men. When they didn’t know who they were watching, ratings for female and male athletes did not differ significantly. The findings are consistent with the interpretation that gender bias plays a role in the evaluation of athletic performance. Implications for research and the sports industry are discussed. Keywords: experiment, evaluation, gender bias, fans, soccer, women’s sport

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