„Collaborative Governance“ – ein neues Konzept für die Regulierung der europäischen Strom- und Gasmärkte?

Current British and American publications about the liberalization of electricity and gas markets demand a paradigm shift in the regulation of energy networks. These publications can be subsumed under the scientific debate about “collaborative governance” in the USA. They call for an integration of network users and consumers into the regulatory process. Their philosophy resembles the philosophy of the negotiated third party access in Germany from 1998 till 2005. Their regulatory strategy might be more effective than the actual European “command and control” strategy in establishing competitive energy markets. This article examines and evaluates these publications and their regulatory strategy.     

Cryptocurrencies: Stylized facts on a new investible instrument

We present stylized facts on the asset pricing properties of cryptocurrencies: summary statistics on cryptocurrency return properties and measures of common variation for secondary market returns on 222 digital coins. In our sample, secondary market returns of all other currencies are strongly correlated with Bitcoin returns. We also provide some investment characteristics of a sample of 64 initial coin offerings.     

Do Auditors Accurately Predict Litigation and Reputation Consequences of Inaccurate Accounting Estimates?

To effectively manage audit risk, auditors must correctly predict the potential litigation and reputation consequences associated with inaccurate accounting estimates. Accurate predictions are critical because underestimation of negative consequences leads to excess legal exposure and overestimation leads to overauditing. Our paper examines whether auditors correctly anticipate these litigation and reputation outcomes. We provide manager‐ and partner‐level auditors with case facts from an auditor negligence lawsuit and ask them to predict the proportion of juries that will return verdicts against their firm. We then compare auditors' predictions to the actual verdicts we observe when we provide the same set of case facts to mock jurors who deliberate as part of juries. We find that auditors overestimate the likelihood of negligence verdicts, especially when audit quality is relatively high. Our supplemental measures help explain the reasons for this overestimation: auditors tend to underestimate jurors' perceptions of audit quality and willingness to attribute inaccurate estimates to situational factors. Finally, we examine auditors' predictions about how a news article about the litigation will affect their reputation with the general public. Similar to our litigation results, we find that auditors tend to overestimate the article's negative impact on auditor reputation. Collectively, our findings suggest that auditors overestimate litigation and reputation consequences resulting from inaccurate accounting estimates. This overestimation is consequential as it leads to inefficient allocation of audit resources.     

What Happens Next? A Qualitative Study of Founder Succession in Social Enterprises

In the organizational context of social enterprises, the viability of the primary social mission is put to the test when the founder leaves the organization. Yet the literature has remained silent on this important stage in the life of a social enterprise. We address this gap by conducting in‐depth case studies in the unexplored setting of India. Based on multiple interviews, field observations and archival data, we develop insights into the significance of “social entrepreneur centrality” in social enterprise founder succession, discuss its consequences, and review the effects of contextual influences. Contributions to social entrepreneurship research and practice are discussed.     

From Reality to World. A Critical Perspective on AI Fairness

Journal of Business Ethics - Fairness of Artificial Intelligence (AI) decisions has become a big challenge for governments, companies, and societies. We offer a theoretical contribution to consider...     

Social support at the workplace,motivation to transfer and training transfer: a multilevel indirect effects model

Supervisor support, peer support and transfer motivation have been identified as important predictors of training transfer. Transfer motivation is thought to mediate the support–training transfer relationship. Especially after team training interventions that include all team members (i.e. whole‐team training), individual perception of these factors might be shared among team members. However, an integration of the team level in the training transfer process is rare, yet still needed. Analyzing 194 employees from 34 teams in the context of whole‐team training interventions, we found similar relationships and processes at both levels of analysis: social support enhances transfer motivation at the individual and team levels. Furthermore, motivation to transfer increases training transfer and serves as a connecting mechanism in the social support–training transfer link. The results underline the importance of: (1) considering multiple levels in theories and research about the training transfer process; and (2) ensuring the practice of individual‐directed support and a shared, supportive climate within teams.     

Competing Logics in the Islamic Funds Industry: A Market Logic Versus a Religious Logic

Journal of Business Ethics - In contrast to the conventional fund management industry with a profit-oriented logic based on risk and return, ethical and faith-based funds should follow the...     

Corporate climate-related voluntary disclosures: Does potential greenwash exist among Australian high emitters reports?

This study examines the issue of greenwashing among corporate high emitters subject to government scrutiny. To do so, we investigate the relationship between the actual environmental performance, measured as carbon emissions, of companies subject to the Australian National Greenhouse Energy Reporting Act 2007 (NGER) and their climate-related voluntary disclosures. To measure climate-related disclosure, we construct a climate-related disclosure index based on four prominent frameworks and score corporate report content against that Index. Using a sample of 150 companies with NGER emissions data for Years 2016 and 2017, a period that precedes the issuance of recommendations for disclosure by the Task Force on Climate-Related Financial Disclosure (TCFD), our regression results show a disappointingly low level of climate-related disclosure by most companies. We also find a negative relationship between climate-related disclosure and 1-year lagged environmental performance among companies exhibiting a year-on-year rise in carbon emissions. That is, our findings provide evidence of potential greenwashing by poor environmental performers, presumably to change negative perceptions by stakeholders, as predicted by socio-political theories. In contrast, we find no evidence of greenwashing among companies experiencing a year-on-year decrease in emissions.     

Examining the Relationship between Labor Law Compliance and Employee Perceptions,Attitudes and Behaviors

Employee Responsibilities and Rights Journal - This study examined the effect of legal compliance in the context of labor laws, and the role of organizational justice in mediating its relationship...     

Measuring executive personality using machine-learning algorithms: A new approach and audit fee-based validation tests

We present a novel approach for measuring executive personality traits. Relying on recent developments in machine learning and artificial intelligence, we utilize the IBM Watson Personality Insights service to measure executive personalities based on CEOs’ and CFOs’ responses to questions raised by analysts during conference calls. We obtain the Big Five personality traits – openness, conscientiousness, extraversion, agreeableness and neuroticism – based on which we estimate risk tolerance. To validate these traits, we first demonstrate that our risk-tolerance measure varies with existing inherent and behavioural-based measures (gender, age, sensitivity of executive compensation to stock return volatility, and executive unexercised-vested options) in predictable ways. Second, we show that variation in firm-year level personality trait measures, including risk tolerance, is largely explained by manager characteristics, as opposed to firm characteristics and firm performance. Finally, we find that executive inherent risk tolerance helps explain the positive relationship between client risk and audit fees documented in the prior literature. Specifically, the effect of CEO risk-tolerance – as an innate personality trait – on audit fees is incremental to the effect of increased risk appetite from equity risk-taking incentives (Vega). Measuring executive personality using machine-learning algorithms will thus allow researchers to pursue studies that were previously difficult to conduct.