Acquisitions and CEO power: Evidence from French networks

During mergers and acquisitions, the CEOs of the acquiring firms are likely to cancel the deal if the market does not react favorably to its announcement. Using a sample of French acquisition announcements during the period from 2000 to 2005, this paper studies the conditions in which CEOs are more willing to listen to investors. Furthermore, according to the strong networks developed through French elite schools' alumni and board ties, the well-connected CEOs are more likely to complete any deal in spite of a negative market reaction to acquisition announcements.     

Pay-As-You-Drive Angebote von Erstversicherern für Privatkunden

“Pay-as-you-drive” (PAYD) concepts for car liability insurances envisage that real driving behavior and situation data are captured and processed via car sensors and tracking systems in order to calculate case-specific insurance rates which better correspond to the risk profiles of policy holders (PH) than conventional tariffs. The present article provides an outline of PAYD insurance variants, of legal arrangements with particular relevance for PAYD offerings in Germany and of the international dissemination of PAYD concepts. It shows that although PAYD offerings of direct insurers (DI) for private customers are not barred by insurmountable technical or legal barriers, they so far have little practical relevance in Germany. Against this background expected PAYD impacts on revenues and costs of DI are discussed in detail in order to analyze the extent to which DIs’ cautious PAYD offering strategies may be qualified as economically reasonable. The investigation suggests that the profitability effects of PAYD insurances of DI targeted at private customers are far from being definitely and clearly positive. Thus, it is very unlikely that DI will make significant investments on their own in order to create a large German residential market for PAYD insurances. Rather such a market will not emerge without accompanying state interventions.     

Modeling hedge fund exposure to risk factors

This paper examines the adjustment dynamics of hedge fund returns and studies their exposure to risk factors in a nonlinear framework for several types of strategies over the last two decades. Nonlinearity is justified by distortions due to the use of short selling, leverage, derivatives and illiquid assets for hedge fund strategies. Among nonlinear models, switching regime (STR) models are applied to reproduce the dynamics of hedge fund returns. This nonlinear multivariate modeling has the advantage of capturing the time-varying exposure of hedge fund strategies to risk factors, and of specifying the asymmetric relationship between hedge fund returns and risk. The findings are interesting and provide several contributions to the hedge fund literature. First, we show that the dynamics of hedge fund returns exhibit significant asymmetry and nonlinearity, indicating that they evolve and vary asymmetrically in accordance with stages in financial cycles. Second, hedge fund exposure to risk factors also varies over time, depending on the strategy and the regime. Finally, our modeling captures the most important changes in hedge fund exposure to risk factors induced by the recent global financial crisis (2008–2009).     

It’s in the Mix: How Firms Configure Resource Mobilization for New Product Success

This paper aims to deepen the understanding about when and how the mobilization of resources through strong and weak ties in a focal firm’s network can affect new product success. It addresses two significant gaps in the literature. While prior research has advanced the understanding of how factors around tie strength, resource mobilization, and environmental characteristics relate to new product development, it has yet to offer a more holistic understanding of the interconnected structures and the interplay among these factors. Furthermore, limited insights exist about how firms could utilize resource mobilization approaches in different environmental contexts to enhance new product success. Building on resource dependence theory, this paper contributes to prior work by adopting configuration theoretical considerations and performing an empirical investigation to identify necessary and sufficient conditions for new product success. Based on data from a survey of 354 managers from manufacturing and services firms in the United Kingdom, the study conducts a configurational comparative study based on fuzzy‐set Qualitative Comparative Analysis to examine configurations of strong‐tie and weak‐tie resource mobilization approaches within particular environmental contexts for new product success. The findings reveal alternative, equifinal configurations for new product success, and add to the existing body of work by connecting the notions of network ties, resource mobilization, and context dependence, as well as by developing an integrative framework to explain the interplay of remote and proximate conditions for new product success. For management practice, this study offers guidance in describing and diagnosing business contexts that enhance new product success, and in identifying resource mobilization action repertoires to capitalize on these contexts.     

Socioeconomic Index for Income and Poverty Prediction: A Sufficient Dimension Reduction Approach

The present paper introduces a novel method for the construction of Socioeconomic Status (SES) indices that are specific to a target variable of interest. It is based on the Sufficient Dimension Reduction (SDR) paradigm and uses a factorized model-based approach to simultaneously deal with predictor variables of mixed nature (i.e. quantitative, binary, and ordinal), which are usual in microeconomic data. These SES indices also identify relevant predictor variables using a two-step regularized matrix factorization approach. Using data from household surveys for Argentina (Encuesta Permanente de Hogares-EPH), the proposed method is compared with other existing dimension reduction algorithms such as standard Principal Component Analysis (PCA) and its version for mixed variables, regression on the full set of variables and Least Absolute Shrinkage and Selection Operator regression (LASSO).     

Treat yourself: Food delivery apps and the interplay between justification for use and food well-being

This study examines the relationship between justification for use and well-being in respect to mobile food delivery apps (FDA). Adopting an interpretivist qualitative approach, the study offers contributions to the FDA and food well-being literature by uncovering four groups of licensing effects that consumers use in justifying FDA use. Those licensing effects can have either positive or negative influence on consumers' well-being depending on the degree to which consumers engage in self-regulation, awareness, and conscious managing of their relationship with food. The study also unravels the importance of dealing with the tensions between FDA use and well-being by shedding light on feelings of guilt and financial anxiety related to FDA use.     

Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity

We describe new experimental productivity dispersion statistics, Dispersion Statistics on Productivity (DiSP), jointly produced by the Bureau of Labor Statistics (BLS) and the Census Bureau, that complement the official BLS industry-level productivity statistics. The BLS has a long history of producing industry-level productivity statistics, which represent the average establishment-level productivity within industries when appropriately weighted. These statistics cannot, however, tell us about the variation in productivity levels across establishments within those industries. Dispersion in productivity across businesses can provide information about the nature of competition and frictions within sectors and the sources of rising wage inequality across businesses. DiSP data show enormous differences in productivity across establishments within industries in the manufacturing sector. We find substantial variation in dispersion across industries, increasing dispersion from 1997 to 2016, and countercyclical total factor productivity dispersion. We hope DiSP will enable further research into understanding productivity differences across industries and establishments and over time.