Contributions published at Department of Business Administration (Egon Franck)

How does the appointment of an outside CEO affect the hiring firm’s performance? Prior research reports that outside CEOs tend to underperform compared to inside CEOs, with high performance variance. Extending CEO-centric perspectives, we predict that experiential learning enhances post-succession performance, while negative transfer learning undermines it. We then offer a novel stakeholder-centric perspective, conjecturing that stakeholders’ negative sentiment toward the CEO appointment undermines post-succession performance. We further conjecture that outside CEOs are less effective in leveraging their executive experience and suffer more from negative transfer and negative sentiment compared to inside CEOs, who can leverage their familiarity and social embeddedness in the firm, which explains why outside CEOs may underperform. Analyzing the appointments of CEOs in US public firms, we find that counter to expectations, the length and breadth of their executive experience do not explain post-succession performance nor the performance differences between outside CEOs and inside CEOs. Rather, the misfit between the CEOs’ corporate background and their firms’ characteristics and the negative sentiment surrounding their appointments explain performance differences and the underperformance of outside CEOs. Accordingly, our study directs attention to the important yet previously understudied reactions of stakeholders to CEO appointments.

Inspired by an industry initiative to address the celebrated market for lemons (poor-quality used cars), we investigate how incentives for a permissioned blockchain-based system in the automobile ecosystem can be designed to ensure high-quality data storage and use by different stakeholders. The peer-to-peer distributed ledger platform connects organizations and car owners with disparate interests and hidden intentions. While previous literature has chiefly examined incentives for permissionless platforms, we leverage studies about crowdsensing applications to stimulate research on incentives in permissioned blockchains. This paper uses the action design research approach to create an incentive system featuring a rating mechanism influenced by data correction measures. Furthermore, we propose relying on certain institutions capable of assessing data generated within the system. This combined approach of a decentralized data correction and an institutionalized data assessment is distinct from similar incentive systems suggested by literature. By using an agent-based model with strategy evolution, we evaluate the proposed incentive system. Our findings indicate that a rating-based revenue distribution leads to markedly higher data quality in the system. Additionally, the incentive system reveals hidden information of the agents and alleviates agency problems, contributing to an understanding of incentive design in inter-organizational blockchain-based data platforms. Furthermore, we explore incentive design in permissioned blockchains and discuss its latest implications.

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Social networking sites have become a predominant means of communication across the globe. Activities on these sites generate massive amounts of personal information and raise concerns about its potential abuse. Means designed to protect the user’s privacy and prevent exploitation of confidential data often go unused. In this study, we draw on the theory of planned behavior, a reasoned action approach, to explain intentions to adopt privacy behaviors on social networking sites, with a focus on Twitter users. Consistent with the theory, an online survey of Twitter users ( n = 1,060) found that instrumental and experiential attitudes and descriptive and injunctive subjective norms regarding these behaviors were direct predictors of intentions. Perceived behavioral control had a moderating effect, such that subjective norm was a better predictor of intentions for participants high as opposed to low in perceived control. We briefly discuss the implications of these results for developing theory-driven and evidence-based interventions to promote privacy behavior.

Die Hinterziehung von Steuern soll durch den international eingeführten automatischen Informationsaustausch (AIA) aufgedeckt und eingedämmt werden. Zudem besteht in der Schweiz seit 2010 die straflose Selbstanzeige. Im Zusammenhang mit der internationalen Einführung des AIA ist ein deutlicher Anstieg der straflosen Selbstanzeigen zu beobachten. Dabei werden erhebliche kantonale Unterschiede sichtbar. So ist die Anzahl strafloser Selbstanzeigen pro zehntausend Steuerpflichtige in Kantonen mit hohem Grenzsteuersatz auf das Vermögen, getrieben durch die bevölkerungsstarken Genferseekantone, tendenziell höher. Da das analysierte Selbstanzeigeverhalten im Zuge des AIA vorwiegend ausländisches Vermögen und Einkommen betrifft, könnte auch der Anteil der zugewanderten Wohnbevölkerung eine Rolle spielen.

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How are social entrepreneurs different from commercial entrepreneurs? This study sheds light on this issue by applying the perspective of entrepreneurial cognition and by arguing that social entrepreneurs are even more susceptible to cognitive biases than commercial entrepreneurs. The empirical study of 205 Swiss entrepreneurs could confirm that social entrepreneurs tend to be more overconfident and prone to escalation of commitment than commercial entrepreneurs, while the study found no differences for illusion of control. The findings indicate that cognitive biases are an important puzzle piece to understand the differences between social and commercial entrepreneurs.

During the COVID-19 pandemic, many countries implemented restrictions to limit the spread of the SARS-CoV-2 virus (e.g. travel restrictions and lockdowns). One path to loosening restrictions is to do so selectively only for vaccinated individuals (e.g. by implementing vaccine passports domestically or as a prerequisite for international travel). Setting different rules based on people’s vaccination status is however a contentious issue among health policy experts, government officials, and the public. Our analysis focuses on the levels and correlates of public support for the lifting of restrictions for the vaccinated in April 2021, i.e. at a time when restrictions were in place and a selective lifting of these restrictions just for the vaccinated was debated in Europe. We use representative quota samples of the populations of France (N = 1,752), Germany (N = 1,759), and Sweden (N = 1,754). We find that a slight plurality support lifting restrictions for the vaccinated in France and Germany but not in Sweden. Vaccine hesitancy emerges as strong predictor of opposition to such a policy. Additionally, individuals who are already vaccinated (in France and Germany) and who are higher in risk-seeking express more support for the lifting of restrictions for the vaccinated. We discuss implications for the debate on vaccine passports.

We empirically investigate the impact of COVID-19 shutdowns on domestic violence using incident-level data on both domestic-related calls for service and crime reports of domestic violence assaults from the 18 major US police departments for which both types of records are available. Although we confirm prior reports of an increase in domestic calls for service at the start of the pandemic, we find that the increase preceded mandatory shutdowns, and there was an incremental decline following the government imposition of restrictions. We also find no evidence that domestic violence crimes increased. Rather, police reports of domestic violence assaults declined significantly during the initial shutdown period. There was no significant change in intimate partner homicides during shutdown months and victimization survey reports of intimate partner violence were lower. Our results fail to support claims that shutdowns increased domestic violence and suggest caution before drawing inference or basing policy solely on data from calls to police.

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Recent literature on narcissism argues that there are three factors covering the construct: agentic, antagonistic, and neurotic. Within the current study, we aim to (a) empirically test whether this hypothesized structure reproduces using, for the first time, network psychometrics with eight distinct narcissism measures as well as reanalysing data from eleven narcissism measures from Crowe et al. (2019) and (b) scrutinize the personality underpinnings of the differentiated facets through the lens of the circumplex of personality metatraits (CPM) model. Within the study, N = 465 Polish adults were administered eight distinct narcissism measures, comprising 13 scales capturing different aspects of narcissistic personality and a measure of personality metatraits. Results revealed that the three-factor structure reproduces well in the network approach across both data sets. The circumplex analyses provided further evidence for the personality underpinnings of the three factors. We discuss the role of pathological narcissism within the three-factor conceptualization of narcissism. Findings of the current article facilitate the understanding of narcissistic personality

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