The Relationship Between Weight and Career Payoffs Among Women

The thesis that weight affects women's life chances for reaching high-status, white-collar jobs is tested with survey data gathered from a large aerospace organization (N = 306). It is hypothesized that women who are at or below their desirable weight will have higher incomes and occupational positions than women who are overweight, with human capital variables controlled. It is further hypothesized that weight will be most related to occupational position in male-dominated occupations and in occupations that involve frequent contact outside the firm. Results show that weight is related to income, but only at entry-level professional/managerial occupations. Weight is significantly related to occupational position, especially so in male-dominated occupations. Weight is not more strongly related to occupational position in jobs involving outside contact. Findings are consistent with the interpretation that discrimination based on weight in the general society extends to the inner workings of workplace organizations.     

Treating substance-using women and their children in public housing: preliminary evaluation findings

The Key West Housing Authority created SafePort, a residential substance abuse treatment program within public housing to provide drug treatment to parenting women. All family members-women, children, and significant others-receive comprehensive assessments to determine appropriate therapeutic interventions to resolve their problems. Preliminary evaluation findings suggest that women who participate with their children are more likely to remain drug free than are those who participated without their children.     

A framework for production rescheduling in sociotechnical manufacturing environments

No plan survives contact with reality. Despite the rich research base regarding handling uncertainty in production planning and control systems, there is an intellectual gap between theory and practice with regard to handling unforeseen events generated by internal and external factors, such as unforeseen machine downtimes and changes in demand. Motivated by longitudinal observations in two industrial settings and an analysis of the relevant literature, a framework for rescheduling decision-making in the face of unforeseen production events is proposed. In practical settings, the effectiveness of decisions depends on a set of situational factors. The findings of this research can be utilised further to provide guidelines for developing effective decision support principles and systems, addressing the needs of organisational decision-makers.