How Does the General Public Evaluate Risk Information? The Impact of Associations with Other Risks

There is a considerable body of knowledge about the way people perceive risks using heuristics and qualitative characteristics, and about how risk information should be communicated to the public. However, little is known about the way people use the perception of known risks (associated risks) to judge an unknown risk. In a first, qualitative study, six different risks were discussed in in-depth interviews and focus group interviews. The interviews showed that risk associations played a prominent role in forming risk perceptions. Associated risks were often mentioned spontaneously. Second, a survey study was conducted to confirm the importance of risk associations quantitatively. This study investigated whether people related unknown risks to known risks. This was indeed confirmed. Furthermore, some insight was gained into how and why people form risk associations. Results showed that the semantic category of the unknown risks was more important in forming associations than the perceived level of risk or specific risk characteristics. These findings were in line with the semantic network theory. Based on these two studies, we recommend using the mental models approach in developing new risk communications.     

Friendships under strain: The work–personal life integration of middle managers

Middle managers in today's organisations have reported experiencing longer working hours and intensified work regimes. These increased pressures, in turn, have led to growing difficulty in addressing the integration of their work and personal lives. In an exploratory study of the daily workplace experiences of Australian middle managers and the impacts on their personal lives, one of the key themes to emerge was respondents’ concerns about the negative effects on their friendships. This paper discusses middle managers’ recognition of the value of friendships for their wellbeing, and the resultant anger and sadness reported at the strain on these relationships due to competing time demands. The significant role that friendships play in alleviating some of the stresses of work demands, while concurrently being impeded by these same demands, is an important issue for organisations to consider. These findings indicate the need for middle managers to truly have an ability to engage in activities – and friendships – which will aid them in their working lives. The study also indicates a need for further investigation into the development and maintenance of friendships for both middle managers and other groups of employees.     

Effects of Race and Sex on Work Group Cooperation Vs. Competition

This study examines whether differences in individualism-collectivism by race and sex result in differences in cooperation vs. competition. Expanding upon the earlier work of Cox et al., individual and group-level comparisons are made by race and sex. Exclusively examining race-based effects, Cox et al. had suggested that blacks display greater cooperation than do whites. Our findings concur; however, we are able to demonstrate this using a more complete group-level comparison. Given literature suggesting sex to be as relevant as race when administering work force diversity, we further expanded upon the earlier study by testing for such effects. While some previous research has suggested a tendency for women to behave more cooperatively than do men, our findings show that this is not necessarily the case. Specifically, this study demonstrates that sex decreases in importance, when controlling for race. Applications and suggestions for future research are presented.     

Toward an index of gender equality

This paper develops a Gender Equality Index (GEI) that is modelled in its thinking and implementation on the Consumer Price Index (CPI). The GEI was computed using annual Ontario data on seven socioeconomic indicators for the years 1975 to 1984. The analysis supports the following conclusions: (1) that it is possible to indentify a subset of indicators that have face validity as measures of relative gender equality; (2) that factor analysis is a useful means for evaluating the construct validity of gender equality; (3) that the resulting GEI reveals a strong upward trend toward gender equality in the latter half of the 1970's and the early 1980's and (4) that this trend has flattened in 1984.     

Branded: The Economic Geographies of Streets Named in Honor of Reverend Dr. Martin Luther King,Jr.*

Objectives. We investigate the economic geographies of streets named for Reverend Dr. Martin Luther King, Jr. (MLK Streets), which are an increasingly common means by which various community members across the United States are attempting to commemorate the slain civil rights leader. It is our intent to characterize these negatively “branded” spaces in order to challenge some of the common perceptions about them and inform current and future MLK Street naming debates. Methods. We statistically analyze nonresidential establishments located on streets named for King in terms of scale (as measured by annual sales and employment) and industrial classification. To our knowledge, this is the first such analysis conducted at the national level. Results. Establishments located on MLK Streets do not systematically exhibit economic marginality. Establishments located on these streets do systematically exhibit unique local functions and industrial composition. Conclusion. In the absence of empirically‐driven research, the negative stereotypes that surround MLK Streets have gone unchallenged and are proliferating. The research reported here calls into question a number of these stereotypes and should inform the public, city councils, and other local policymakers, who are increasingly being faced with contentious MLK Street naming debates.     

Separator-based data reduction for signed graph balancing

Polynomial-time data reduction is a classical approach to hard graph problems. Typically, particular small subgraphs are replaced by smaller gadgets. We generalize this approach to handle any small subgraph that has a small separator connecting it to the rest of the graph. The problem we study is the NP-hard Balanced Subgraph problem, which asks for a 2-coloring of a graph that minimizes the inconsistencies with given edge labels. It has applications in social networks, systems biology, and integrated circuit design. The data reduction scheme unifies and generalizes a number of previously known data reductions, and can be applied to a large number of graph problems where a coloring or a subset of the vertices is sought. To solve the instances that remain after reduction, we use a fixed-parameter algorithm based on iterative compression with a very effective heuristic speedup. Our implementation can solve biological real-world instances exactly for which previously only approximations were known. In addition, we present experimental results for financial networks and random networks.