Learning in manufacturing organizations: what factors predict effectiveness?

This paper argues that it is possible to identify factors which pre-dispose organizations to adopt effective learning strategies and processes. It is hypothesized that effective OL is associated with: profitability, environmental uncertainty, structure, approach to HRM and quality orientation. The study focuses on forty-four manufacturing organizations, and draws on longitudinal data gathered through interviews. The findings suggest that two of these variables - approach to HRM and quality orientation - are particularly strongly correlated with measures of OL. It is concluded that effective learning mechanisms, with the potential to improve the quality of OL processes, are more likely to be established in businesses where HRM and quality initiatives are well established.     

Bayesian Weibull tree models for survival analysis of clinico-genomic data

An important goal of research involving gene expression data for outcome prediction is to establish the ability of genomic data to define clinically relevant risk factors. Recent studies have demonstrated that microarray data can successfully cluster patients into low- and high-risk categories. However, the need exists for models which examine how genomic predictors interact with existing clinical factors and provide personalized outcome predictions. We have developed clinico-genomic tree models for survival outcomes which use recursive partitioning to subdivide the current data set into homogeneous subgroups of patients, each with a specific Weibull survival distribution. These trees can provide personalized predictive distributions of the probability of survival for individuals of interest. Our strategy is to fit multiple models; within each model we adopt a prior on the Weibull scale parameter and update this prior via Empirical Bayes whenever the sample is split at a given node. The decision to split is based on a Bayes factor criterion. The resulting trees are weighted according to their relative likelihood values and predictions are made by averaging over models. In a pilot study of survival in advanced stage ovarian cancer we demonstrate that clinical and genomic data are complementary sources of information relevant to survival, and we use the exploratory nature of the trees to identify potential genomic biomarkers worthy of further study.     

Barriers to completion of advance care directives among African Americans ages 25-84: a cross-generational study

Prior studies conducted in the area of Advance Care Directive document completion in African Americans have primarily targeted the elderly who are either institutionalized in skilled nursing facilities or are members of faith communities. Few studies have been done concerning barriers to Advance Care Directive document completion that include non-elderly African Americans. The purpose of this study was to identify the common barriers to advance care directive document completion across generations of African Americans ages 25-84. Using convenience sampling among various Baptist denominations of the African-American faith community of Buncombe County, North Carolina, 40 individuals ranging in age from 25-84 participated in multiple focus group sessions. Findings revealed participants shared three common barriers: 1) surrogate decision-making, 2) lack of education concerning advance care directive discussions and completion, and 3) fear and denial. Also revealed were barriers that varied across generations: 1) fatalism, 2) mistrust of the health care system, 3) spirituality, and 4) economics.     

From Work as Sex to Sex as Work: Networks, ‘Others’ and Occupations in the Analysis of Work

While once upon a time the social science of work and organization neglected or marginalized gender and sexuality, we have now lost sight of what people actually do, that is to say the activity of work. Gender and sexuality have been identified as crucial to organizational dynamics and, notwithstanding different theoretical emphases, this paradigm has become increasingly influential. We argue (contrary to most of its protagonists) that — within this model — the significance of sex and gender for organization rests principally on their role in the production of identities rather than in what they can tell us about production or work in any wider sense. The article highlights parallels with the ways in which prostitution is now generally understood, whether the emphasis is on subordination or agency. This literature also emphasizes gender relations and identities, even where the focus is on re–writing ‘sex as work’. We argue that this focus neglects the wider networks in which all work, whether mainstream or otherwise, is embedded and that a full analysis must take due account of both these networks and the discursive production of identities. Examples — of work in the finance and sex industries — are used to substantiate this argument and a case is made for the importance of the Chicago School’s analysis of occupations.