Women and Top Leadership Positions: Towards an Institutional Analysis

Women remain under‐represented in top leadership positions in work organizations, a reality that reflects a variety of barriers that create a glass ceiling effect. However, some women do attain top leadership positions, leading scholars to probe under what conditions women are promoted despite seemingly intractable and well‐documented barriers. Previous scholarship tends to posit individual‐level explanations, suggesting either that women who attain top leadership positions are exceptional or that potential women leaders lack key qualities, such as assertiveness. Much less scholarship has explored institutional‐level mechanisms that may increase women's ascension to top positions. This analysis seeks to fill this gap by testing three institutional‐level theories that may shape women's access to and tenure in top positions: the glass cliff, decision‐maker diversity, and the saviour effect. To test these theories we rely on a dataset that includes all CEO transitions in Fortune 500 companies over a 20‐year period. Contrary to the predictions of the glass cliff, we find that diversity among decision makers — not firm performance — significantly increases women's likelihood of being promoted to top leadership positions. We also find, contrary to the predictions of the saviour effect, that diversity among decision makers increases women leaders' tenure as CEOs regardless of firm performance. By identifying contextual factors that increase women's mobility, the paper makes an important contribution to the processes that shape and reproduce gender inequality in work organizations.     

Functional Ability,Neighborhood Resources and Housing Satisfaction among Older Adults in the U.S.

The purpose of this study was to explore neighborhood resources that influence the housing satisfaction of older adults. The study included 10,146 participants from the 2009 panel of the American Housing Survey who were 65 years and older. Hierarchical regression modeling was performed to examine older adults’ perceptions of neighborhood resources and consequently the role these resources play in predicting housing satisfaction among community dwelling and residents of assisted living, controlling for age, sex, ethnicity, education, and housing maintenance. In addition, three levels of physical functioning among residents of assisted living were examined. Results showed that there were differences in housing satisfaction by residences and levels of physical functioning. Subjective evaluations of neighborhoods and the near surrounds were significant predictors of housing satisfaction. Results of the study suggest that policy makers and housing professionals need to continue to consider the role of supportive neighborhoods and social environments in promoting successful aging particularly for frail older adults.     

A Cox‐Aalen Model for Interval‐censored Data

The Cox‐Aalen model, obtained by replacing the baseline hazard function in the well‐known Cox model with a covariate‐dependent Aalen model, allows for both fixed and dynamic covariate effects. In this paper, we examine maximum likelihood estimation for a Cox‐Aalen model based on interval‐censored failure times with fixed covariates. The resulting estimator globally converges to the truth slower than the parametric rate, but its finite‐dimensional component is asymptotically efficient. Numerical studies show that estimation via a constrained Newton method performs well in terms of both finite sample properties and processing time for moderate‐to‐large samples with few covariates. We conclude with an application of the proposed methods to assess risk factors for disease progression in psoriatic arthritis.     

Measuring performance of two-stage network structures by DEA: A review and future perspective

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). An important area of development in recent years has been devoted to applications wherein DMUs represent two-stage or network processes. One particular subset of such processes is those in which all the outputs from the first stage are the only inputs to the second stage. The current paper reviews these models and establishes relations among various approaches. We show that all the existing approaches can be categorized as using either Stackelberg (leader-follower), or cooperative game concepts. Future perspectives and challenges are discussed.     

A projection pursuit index for large <Emphasis Type="Italic">p</Emphasis> small <Emphasis Type="Italic">n</Emphasis> data

In high-dimensional data, one often seeks a few interesting low-dimensional projections which reveal important aspects of the data. Projection pursuit for classification finds projections that reveal differences between classes. Even though projection pursuit is used to bypass the curse of dimensionality, most indexes will not work well when there are a small number of observations relative to the number of variables, known as a large p (dimension) small n (sample size) problem. This paper discusses the relationship between the sample size and dimensionality on classification and proposes a new projection pursuit index that overcomes the problem of small sample size for exploratory classification.     

A bayesian analysis of the mixed linear model

The mixed model is defined. The exact posterior distribution for the fixed effect vector is obtained. The exact posterior distribution for the error variance is obtained. The exact posterior mean and variance of a Bayesian estimator for the variances of random effects is also derived. All computations are non-iterative and avoid numerical integrations.     

Attachment and depression differentially influence nicotine dependence among male and female undergraduates: a preliminary study

The authors surveyed a convenience sample of 208 undergraduate students who reported that they smoked cigarettes. The primary hypothesis they tested was whether gender predicted nicotine dependence. They further tested whether depression and attachment would mediate or moderate this relationship. Hierarchical regression analyses with social desirability and smoking stage of change entered as covariates indicated that women exhibited greater nicotine dependence than men did (p < .01). Lower attachment scores fully mediated this relationship, whereas elevated depression scores moderated the relationship. These findings suggest that depression and the inability to bond with peers may promote nicotine dependence among young female students.     

The Impact of Organizational Form on Gendered Labour Markets in Engineering and Law

It is well known that occupations are differentially gendered and explanations for such gendering usually focus on structure and process in the labour market. However little is known of the fine detail of the way in which labour markets perform for particular occupations in particular local contexts. This article is based on micro-sociological research on the professional labour markets for law and engineering professionals in the city of Hobart, Australia. It addresses a discrepancy in women's participation and promotion rates in each of these professions: the proportion of women in high positions in engineering matches their educational qualification rates while that in law is considerably lower than educational qualification rates would suggest. The paper proposes that the explanation can be found in the respective organizational patterns of the two professions. Engineering is practised in large-scale bureaucratic organizations where formal rules govern recruitment and promotion, where equal opportunities legislation literally applies, and where a strict separation is maintained between public and domestic spheres. By contrast, law is practised in collegial partnerships where informal judgements govern recruitment and promotion, where the letter of equal opportunities legislation need not be applied, and where advancement depends on the subordination of the domestic to the public sphere.