Instrumental measurement of the cognitive and emotional background of deception

Quality & Quantity - The aim of this study is to instrumentally explore the cognitive and emotional load behind deception. According to literature, the cognitive and emotional load comprises of...     

Anhaltende Produktionslücken durch Vorleistungsengpässe

Wirtschaftsdienst - Die anhaltenden Probleme bei der Beschaffung von Vorleistungen belasten die deutsche Wirtschaft. Drei Viertel der Unternehmen berichten derzeit von Produktionsausfällen von...     

Ensuring survey research data integrity in the era of internet bots

Quality & Quantity - We used an internet-based survey platform to conduct a cross-sectional survey regarding the impact of COVID-19 on the LGBTQ?+?population in the United States....     

“Just a Little Respect”: Effects of a Layoff Agent’s Actions on Employees’ Reactions to a Dismissal Notification Meeting

For several decades, most discussion on financial fraud has centered on the fraud triangle, which has evolved over time through various extensions and re-interpretations. While this has served the profession well, the articulation of the human side of the act is indirect and diffused. To address this limitation, this research develops a model to explain the role of human desires, intentions, and actions in indulgence of, or resistance to, the act of financial fraud. Evidence from religion, philosophy, sociology, neurology, behavioral economics, and social psychology is integrated to develop and support an alternative fraud model, called the disposition-based fraud model (DFM). To articulate the model, its two primary components, disposition and temptation, are further developed and extended. Although the DFM is generally applicable to any act of fraud, this paper focuses on executive fraud. The similarities and differences between the DFM and extant fraud models are discussed. Importantly, in light of the DFM, a re-interpretation of the fraud triangle is made to improve our understanding of the human element in it. Additionally, potential implications of the model for corporate governance are discussed, suggestions for further research are offered, and the DFM’s strengths and limitations are noted.     

Hedonic pricing and the spatial structure of housing data – an application to Berlin

Housing prices are largely determined by physical location. By applying the outsample prediction accuracy of rental prices as evaluation criteria, we examine whether the choice of the hedonic model additionally depends on the spatial structure of housing data, i.e. accounting for locational effects by either district fixed effects or spatial econometric modelling. Our results show that a generalised spatio-temporal model outperforms a district fixed effects model only if the spatial density – the weighted mean distance to nearest neighbours – is relatively small. Moreover, we use the required density thresholds to deduce a pseudo indifference curve, thereby showing that the ratio of the weighted spatial distance-to-the mean district diameter increases with the mean sample size per district. This emphasises the role of data structure and district choices for model selection. Differences in data can thereby serve as an explanation for contradictory findings in literature, whether spatial econometric methods or simple district fixed effects are used.     

Russian Nanotechnology Market: High-Technology Industry or Statistical Phenomenon

This article presents a medium-term forecast of the development of the Russian nanoindustry, taking into account the assumed transition of the industry from the formation stage to the investment growth stage. Problems associated with the estimated output volumes of products in the Russian nanoindustry are considered, since the trends recorded in the primary statistical data are very far from reflecting the real situation due to the imperfection of the system of statistics of nano-containing products, as well as a reduction of state funding and a decline in the intensity of research in the industry. It is concluded that a full-fledged industry has not been yet completely formed in Russia and it actually exists only as a statistical phenomenon; in addition, the project really set different objectives from the declared creation of a breakthrough high-technology branch.     

Academic leadership and commercial activities at research institutes: German evidence

This paper focuses on entrepreneurship by academic leaders. With the use of patents, inventions, and spin‐offs to measure commercialization, and directors, research group leaders, and business owners as academic leaders, results, using a sample of more than 2,500 German researchers, show differences across academic leaders and commercialization. Findings for spin‐offs are different from those for patents and inventions. Academic leaders in sciences were more likely to commercialize. Doctoral degrees helped patents by business owners and spin‐offs by group leaders, whereas female business owners and female group leaders faced challenges patenting and inventing, respectively. For business owners, age increased the likelihood of patenting but lowered spin‐offs.     

Convex risk measures for the aggregation of multiple information sources and applications in insurance

We propose a novel class of convex risk measures, based on the concept of the Fréchet mean, designed in order to handle uncertainty which arises from multiple information sources regarding the risk factors of interest. The proposed risk measures robustly characterize the exposure of the firm, by filtering out appropriately the partial information available in individual sources into an aggregate model for the risk factors of interest. Importantly, the proposed risks can be expressed in closed analytic forms allowing for interesting qualitative interpretations as well as comparative statics and thus facilitate their use in the everyday risk management process of the insurance firms. The potential use of the proposed risk measures in insurance is illustrated by two concrete applications, capital risk allocation and premia calculation under uncertainty.