Closed‐Loop Supply Chains: An Introduction to the Feature Issue (Part 1)

Closed‐loop supply chains (CLSC) have product returns at the center of attention. Our view is that CLSC are best managed from a business perspective where organizations seek to maximize value recovery. The research in the feature issue, and our experiences, shows that there are still numerous, unresolved, managerially relevant issues that deserve further investigation. We also observe that there is a pressing need to validate the assumptions in our models using interdisciplinary, industry‐driven research. The time is right for production and operations management to play a central role in the sustainability movement slowly taking hold in practice.     

A penalized likelihood approach to image warping

A warping is a function that deforms images by mapping between image domains. The choice of function is formulated statistically as maximum penalized likelihood, where the likelihood measures the similarity between images after warping and the penalty is a measure of distortion of a warping. The paper addresses two issues simultaneously, of how to choose the warping function and how to assess the alignment. A new, Fourier–von Mises image model is identified, with phase differences between Fourier-transformed images having von Mises distributions. Also, new, null set distortion criteria are proposed, with each criterion uniquely minimized by a particular set of polynomial functions. A conjugate gradient algorithm is used to estimate the warping function, which is numerically approximated by a piecewise bilinear function. The method is motivated by, and used to solve, three applied problems: to register a remotely sensed image with a map, to align microscope images obtained by using different optics and to discriminate between species of fish from photographic images.     

Gerrymandering on Georgia's Mind: The Effects of Redistricting on Vote Choice in the 2006 Midterm Election*

Objective. We make use of individual‐level survey data from the 2006 midterm election in order to determine the degree to which redistricting affected the vote choice of whites residing in Georgia Congressional Districts 8 and 12. Methods. A multivariate probit model was used to assess the probability of voting for the GOP House candidate among voters represented by the same incumbent before and after redistricting versus voters who had been newly drawn into one of these districts. Results. Despite a national tide that favored the Democratic Party in the 2006 elections, redrawn whites were more likely to vote for the Republican challengers in the districts surveyed. Conclusions. Our findings indicate that redistricting can be used to dampen the incumbency advantage. In addition, the findings of this research also speak to the continuing Republican realignment of white voters in the Deep South and to the recognition that the effects of redistricting are dependent on political context.     

State Gender Inequality,Socioeconomic Status and Intimate Partner Violence (IPV) in India: A Multilevel Analysis

While a growing body of literature has investigated the health impact of intimate partner violence (IPV), less has been written on the social determinants of IPV. The authors use multilevel modeling methods to analyze data from a sample of 83,627 women in India to examine the socioeconomic and demographic patterning of the state‐ and neighborhood‐level variation in, and the state‐ and/or neighborhood‐level characteristics related to, IPV. This study finds social gradients in IPV in which women who are uneducated, from marginalized castes, and living in poor households have higher likelihood of reporting IPV than those living in advantaged circumstances. The results also show differences in IPV between neighborhoods and between states that are partially explained by state levels of gender inequality. The results suggest that changing cultural norms to promote the status of women and increasing the educational and economic opportunities for all people could decrease the prevalence of IPV.     

Berry–Esseen type bounds for trimmed U-statistics

Trimmed U  -statistics can be constructed in two different ways: by basing the statistic on a trimmed sample or by averaging the trimmed set of kernel values. Mild conditions are given to ensure the rate of convergence to normality is O(n^-1/2)$\mathrm{O}(n^{-1/2})$ in both cases.     

A multivariate von mises distribution with applications to bioinformatics

Motivated by problems of modelling torsional angles in molecules, Singh, Hnizdo & Demchuk (2002) proposed a bivariate circular model which is a natural torus analogue of the bivariate normal distribution and a natural extension of the univariate von Mises distribution to the bivariate case. The authors present here a multivariate extension of the bivariate model of Singh, Hnizdo & Demchuk (2002). They study the conditional distributions and investigate the shapes of marginal distributions for a special case. The methods of moments and pseudo‐likelihood are considered for the estimation of parameters of the new distribution. The authors investigate the efficiency of the pseudo‐likelihood approach in three dimensions. They illustrate their methods with protein data of conformational angles     

Growing Pains: How Risk Perception and Risk Communication Research Can Help to Manage the Challenges of Global Population Growth

In 2011, the global human population reached 7 billion and medium variant projections indicate that it will exceed 9 billion before 2045. Theoretical and empirical perspectives suggest that this growth could lead to an increase in the likelihood of adverse events (e.g., food shortages, climate change, etc.) and/or the severity of adverse events (e.g., famines, natural disasters, etc.). Several scholars have posited that the size to which the global population grows and the extent to which this growth increases the likelihood of adverse outcomes will largely be shaped by individuals’ decisions (in households, organizations, governments, etc.). In light of the strong relationship between perceived risk and decision behaviors, it is surprising that there remains a dearth of empirical research that specifically examines the perceived risks of population growth and how these perceptions might influence related decisions. In an attempt to motivate this important strand of research, this article examines the major risks that may be exacerbated by global population growth and draws upon empirical work concerning the perception and communication of risk to identify potential directions for future research. The article also considers how individuals might perceive both the risks and benefits of population growth and be helped to better understand and address the related issues. The answers to these questions could help humanity better manage the emerging consequences of its continuing success in increasing infant survival and adult longevity.     

When Prejudice Is Popular: Implications for Discriminatory Behavior

Prejudice and popularity represent two major areas of research. Yet studies have not considered whether prejudiced adolescents actually can be popular. Among 572 high school students (M_age = 15.80 years), the current study tested the association between popularity (based on sociometric peer nominations) and sexual prejudice against gay and lesbian individuals, moderated by gender and perspective taking. As hypothesized, the association was significant for males but not females, and it was significant for adolescents lower on perspective taking but not those higher on perspective taking. Moreover, adolescents who were popular and expressed strong sexual prejudice were more likely to engage in homophobic behavior than prejudiced adolescents who were less popular. Popular adolescents with strong sexual prejudice beliefs may be more prone to use homophobic behavior as a way to maintain their dominant position. Similarly, prejudiced adolescents who are popular may face less pushback for their engagement in homophobic behavior. Continued attention to the connection between sexual prejudice and popularity is important because of the high status, influence, and visibility of popular adolescents.