Risk Perception of Heavy Metal Soil Contamination and Attitudes toward Decontamination Strategies

Contaminated soils are a common environmental risk all over the world. One major source of risk is heavy metal soil contamination caused by industrial emissions. This quasiexperimental study investigated the perception of these risks by exposed and nonexposed people, their attitudes toward bioremediation methods using hyperaccumulating plants, and the influence of long-term aspects of sustainability on the acceptance of bioremediation methods. Major findings were that people living in a contaminated area perceived the risk of the heavy metal soil contamination as higher than the general risk of contamination. Second, a factor analysis showed that the factors dread, control, and catastrophic potential were relevant for the perception and valuation of low-dose environmental risks such as the contamination of the investigated area. In addition, a cluster analysis showed that the risk of heavy metal soil contamination was perceived as similar to that of oil contamination, ozone layer, preservatives and genetic technology. It was perceived indifferently with regard to dread. The uncontrollability of heavy metal soil contamination was estimated as medium, and its catastrophic potential as low. Third, exposed and nonexposed participants preferred bioremediation methods to classical methods (e.g., excavation and chemical treatment of the soil), because they perceived the environmental and esthetical performance of the bioremediation as important criteria. Sustainability or precautionary issues, such as the prevention of harm for future generations, were highly correlated with the acceptance of the use of bioremediation methods in people's residential areas.     

Assigning migrants to customer contact jobs: a context-specific exploration of the business case for diversity

Ethnic diversity of both their labor forces and customer bases presents a challenge for companies and fuels debate on the business case for diversity: the view that diversity positively impacts firm performance. This study enriches the business case debate by focusing on a particular organizational activity, customer contact. It combines theory from strategic human resource management (SHRM), research on diversity, and research on marketing to analyze what drives companies to assign migrants to customer contact jobs and which performance impacts ensue. We test our hypotheses in data from 338 German business companies. Companies that recognize the value in ethnic diversity and seek to respond to customer diversity are especially likely to assign migrants to customer contact jobs. The analyses reveal a positive impact of migrants in customer contact jobs on company profitability. This impact is enhanced by a broad range of equality and diversity practices and a supportive works council. These moderators have stronger effects than two other moderators related to business strategy: the market served by a company, and its competitive strategy. The paper contributes to SHRM research in general and diversity research in particular through its original examination associating the business case for ethnic diversity with the role of equality and diversity practices and institutions. The study findings can help managers to decide whether to leverage staff ethnic diversity and show that collaboration between HR management and marketing functions is useful to achieve a strategic fit among practices.     

Posterior consistency for the spectral density of non-Gaussian stationary time series

Various nonparametric approaches for Bayesian spectral density estimation of stationary time series have been suggested in the literature, mostly based on the Whittle likelihood approximation. A generalization of this approximation involving a nonparametric correction of a parametric likelihood has been proposed in the literature with a proof of posterior consistency for spectral density estimation in combination with the Bernstein–Dirichlet process prior for Gaussian time series. In this article, we will extend the posterior consistency result to non-Gaussian time series by employing a general consistency theorem for dependent data and misspecified models. As a special case, posterior consistency for the spectral density under the Whittle likelihood is also extended to non-Gaussian time series. Small sample properties of this approach are illustrated with several examples of non-Gaussian time series.