Russian workers’ experiences with and perceptions of sexual harassment severity

As the reach of global business operations increases, cultural context will likely influence the nature and amount of sexual harassment workers experience. Surprisingly, little is known about sexual harassment in Russia, an attractive target for expanding companies. To address this gap in the literature, we examine Russian workers’ perceptions of sexual harassment severity through the lens of cultural context. In particular, we examine the sexual harassment severity perceptions from the perspective of both targets and perpetrators. Results indicate that as targets of sexual harassment, Russian women and men held similar sexual harassment severity perceptions. However, as perpetrators, Russian women reported perceiving the harassment they committed as being less severe than the reports of Russian men. Further, among both targets and perpetrators, Russian women held less permissive sexual attitudes than Russian men, with this difference mediating the relationship between participant sex and perceived sexual harassment severity: women perceived greater severity than men because women hold less permissive sexual attitudes. Implications for research, practice, and the role of national culture in shaping the social construction of sexual harassment are discussed.     

Challenges for regional science research: past and present

With regional science now into its seventh decade, it is timely to step back and look at what regional science is about, the past challenges it has faced, particularly its relevance, and to identify some of the challenges it has confronted in the past and at present. The paper demonstrates regional science research has had, and continues to have, policy relevance, as well as being relevant for business, and has addressed important issues. It provides an overview of recent commentaries on issues regional scientists might now be addressing.     

Examining the Draw of Diversity: How Diversity Climate Perceptions Affect Job‐Pursuit Intentions

Organizations must target talented applicants, who will often be demographically diverse, to attract the most competent and competitive workforce possible. Despite the bottom‐line implications of attracting the best and brightest, surprisingly little is known about how and why diversity recruitment strategies affect recruitment outcomes (e.g., job‐pursuit intentions). To gain insight into this question, we conducted an initial experimental study (N = 194) to test the premise that other‐group orientation moderates the relationship between perceived organizational value of diversity and job‐pursuit intentions. In a follow‐up experiment (N = 255), identity affirmation was examined as the mediating mechanism for the interaction observed in the first study. Mediated moderation analyses supported the proposed model. Collectively, the studies indicate that job seekers high in other‐group orientation are more intent on pursuing employment with organizations deemed to value diversity because they feel that their salient identities are likely to be affirmed. No such indirect effect is present for those lower in other‐group orientation.     

Negative equity and wages

We examine the relationship between housing equity and wage earnings using nine waves of the national American Housing Survey from 1985 to 2003. Employing a rich set of time and place controls, a synthetic mortgage instrumental variable strategy, and a first difference estimator we find that people underwater on their mortgage command a significantly lower wage than other homeowners. The finding survives a number of robustness checks for reverse causality and unobserved heterogeneity. We also explore other determinants of “house lock” including loss aversion, a low existing mortgage interest rate and property tax assessment caps, but do not find these factors mitigate the effect of negative equity on wages.     

Regression density estimation using smooth adaptive Gaussian mixtures

We model a regression density flexibly so that at each value of the covariates the density is a mixture of normals with the means, variances and mixture probabilities of the components changing smoothly as a function of the covariates. The model extends the existing models in two important ways. First, the components are allowed to be heteroscedastic regressions as the standard model with homoscedastic regressions can give a poor fit to heteroscedastic data, especially when the number of covariates is large. Furthermore, we typically need fewer components, which makes it easier to interpret the model and speeds up the computation. The second main extension is to introduce a novel variable selection prior into all the components of the model. The variable selection prior acts as a self-adjusting mechanism that prevents overfitting and makes it feasible to fit flexible high-dimensional surfaces. We use Bayesian inference and Markov Chain Monte Carlo methods to estimate the model. Simulated and real examples are used to show that the full generality of our model is required to fit a large class of densities, but also that special cases of the general model are interesting models for economic data.     

Marketing and development out of poverty: introduction to the special issue

• Reducing poverty by meeting the United Nations' Millennium Development Goals (MDGs) is an interdisciplinary undertaking, in which Marketing Science logically plays a role. The papers in this special issue cover a range of methods, from traditional consumer research experiments (on images of poverty, donation behaviour) and sample surveys on the credibility of celebrity marketing, to observational studies of community values and customs (on micro-finance or agricultural enterprise). Consumers of aid appeals, celebrity lobbying and financial services—these methods reveal—are behaviourally complex. They are infused with contradictory, competing and complementary tendencies. Underlying those different tendencies however is a common but often overlooked thread. For poverty to be significantly reduced by 2015, attention needs to be paid not only to goals, that is to task but also towards understanding the human relationships in the poverty reduction market. Marketing practise and research can contribute to poverty reduction by helping build (1) perspective-sharing, (2) accommodation to local needs and (3) appreciation of socio-economic and socio-cultural behavioural systems.

Copyright © 2008 John Wiley & Sons, Ltd.     

Measuring portfolio strategic performance using key performance indicators

It is difficult to find indicators for measuring the achievement of objectives during the progress of project portfolios. This article presents an approach for developing key strategic perfor‐mance indicators considering this limitation. The indicators proposed help measure the achievement of a portfolio's strategic objectives taking into account the realization of key benefits. This approach helps identify strategic interdependences between projects that the portfolio is composed of, facilitating the understanding of how the performance of a single project affects the overall performance of a portfolio. The key perfor‐mance indicators can also be used for monitoring the materialization of risks and opportunities influencing the strategic performance of a portfolio.