Some initial specifications for a strategic information system

Much of the discussion and published literature on information systems to date has been about systems concerned with the internal administration and operations of an organization. Considerably less attention has been given to the information requirements of the more strategic managerial activities of planning and policy making, in which the future directions and objectives of the organization are decided. Internal information systems in many organizations have now grown to maturity. At the same time, managers have become aware of the need for an additional component of the overall information system to support their more strategic activities. This paper considers the broad characteristics of a strategic component of an organizational information system and derives some initial specifications from which a more comprehensive design can be developed.     

Peer modeling and college men's sexually impositional behavior in the laboratory

The purpose of this study was to examine the influence of peer modeling on sexually impositional behavior in the laboratory. Male participants with and without a self-reported history of sexually aggressive behavior viewed video clips depicting nonaggressive and sexually aggressive behavior and then chose one of the clips to show to a female confederate. Half of the participants were first exposed to a male confederate who showed the sexually aggressive video clip to a female confederate. The other half of the participants were exposed to a male confederate who showed a nonaggressive video clip to a female confederate. Exposure to a male confederate who showed a sexually aggressive video clip to a female was associated with participants choosing to engage in this same behavior. A self-reported history of sexually aggressive behavior was also associated with participants showing the sexually aggressive video clip in spite of believing the effect on the female viewer would be negative.     

The Natsal-SF Measure of Sexual Function: Comparison of Three Scoring Methods

The Natsal-SF is a psychometrically validated measure of sexual function for use in community health surveys, derived from 17 questions reflecting three components of sexual function. Scoring requires knowledge of complex statistical modeling and, given the methodological complexities, we assessed the validity of two simplified scoring methods calculated using the factor loadings produced when originally modeling the Natsal-SF items. Method 1 uses these factor loadings to three decimal places, while method 2 assigns whole numbers to each item based on the factor loadings. Scores from these simplified methods are compared to the original score using correlation coefficients, by comparing the distributions and the scores of each method in a linear regression model with key variables. We found scores from the simplified methods both correlate highly with the original score, and the distributions of scores closely match. The simplified methods result in different regression coefficients for gender and relationship context but estimate the coefficients of all other variables similarly to the original method. While the Natsal-SF should ideally be scored using latent variable modeling, the simplified methods perform well so can be used in similar contexts, increasing the utility of the Natsal-SF and enabling future studies to measure sexual function more comprehensively.     

When Can Scientific Studies Promote Consensus Among Conflicting Stakeholders?

While scientific studies may help conflicting stakeholders come to agreement on a best management option or policy, often they do not. We review the factors affecting trust in the efficacy and objectivity of scientific studies in an analytical‐deliberative process where conflict is present, and show how they may be incorporated in an extension to the traditional Bayesian decision model. The extended framework considers stakeholders who differ in their prior beliefs regarding the probability of possible outcomes (in particular, whether a proposed technology is hazardous), differ in their valuations of these outcomes, and differ in their assessment of the ability of a proposed study to resolve the uncertainty in the outcomes and their hazards—as measured by their perceived false positive and false negative rates for the study. The Bayesian model predicts stakeholder‐specific preposterior probabilities of consensus, as well as pathways for increasing these probabilities, providing important insights into the value of scientific information in an analytic‐deliberative decision process where agreement is sought. It also helps to identify the interactions among perceived risk and benefit allocations, scientific beliefs, and trust in proposed scientific studies when determining whether a consensus can be achieved. The article provides examples to illustrate the method, including an adaptation of a recent decision analysis for managing the health risks of electromagnetic fields from high voltage transmission lines.     

A Case Study Evaluating the Risk of Infection from Middle Eastern Respiratory Syndrome Coronavirus (MERS‐CoV) in a Hospital Setting Through Bioaerosols

Middle Eastern respiratory syndrome, an emerging viral infection with a global case fatality rate of 35.5%, caused major outbreaks first in 2012 and 2015, though new cases are continuously reported around the world. Transmission is believed to mainly occur in healthcare settings through aerosolized particles. This study uses Quantitative Microbial Risk Assessment to develop a generalizable model that can assist with interpreting reported outbreak data or predict risk of infection with or without the recommended strategies. The exposure scenario includes a single index patient emitting virus‐containing aerosols into the air by coughing, leading to short‐ and long‐range airborne exposures for other patients in the same room, nurses, healthcare workers, and family visitors. Aerosol transport modeling was coupled with Monte Carlo simulation to evaluate the risk of MERS illness for the exposed population. Results from a typical scenario show the daily mean risk of infection to be the highest for the nurses and healthcare workers (8.49 × 10^?4 and 7.91 × 10^?4, respectively), and the lowest for family visitors and patients staying in the same room (3.12 × 10^?4 and 1.29 × 10^?4, respectively). Sensitivity analysis indicates that more than 90% of the uncertainty in the risk characterization is due to the viral concentration in saliva. Assessment of risk interventions showed that respiratory masks were found to have a greater effect in reducing the risks for all the groups evaluated (>90% risk reduction), while increasing the air exchange was effective for the other patients in the same room only (up to 58% risk reduction).     

EMPLOYEE FINANCIAL LITERACY AND RETIREMENT PLAN BEHAVIOR: A CASE STUDY

This article uses administrative data on all active employees of the Federal Reserve (FR) System to examine participation in and contributions to the Thrift Saving Plan, the System's defined contribution (DC) plan. We link to administrative records a unique employee survey of economic/demographic factors including a set of financial literacy questions. Not surprisingly, FR employees are substantially more financially literate than the population at large. Most importantly, financially savvy employees are also most likely to participate in their DC plan. Sophisticated workers contribute three percentage points more of their earnings to the DC plan than do the less knowledgeable, and they hold more equity in their pension accounts. We examine changes in employee plan behavior 1 year after employees completed a Learning Module about retirement planning, and we compare it to baseline patterns. We find that those employees who completed the Learning Module were more likely to start contributing and less likely to have stopped contributing to the DC plan postsurvey. In sum, employer‐provided learning programs are shown to significantly impact employee retirement saving decisions and consistent with a lot of other research, higher levels of financial literacy are found to have a beneficial impact on retirement saving patterns. (JEL J3, H7)     

Changes in fertility rates and family size in response to changes in age at marriage, the trend away from arranged marriages, and increasing urbanization

Abstract Demographers have proposed a long list of factors that help explain why population growth and fertility rates respond to rising levels of urbanization, economic growth and national development.(2) Two of the many suggested influences will be investigated in the present paper with regard to urban Hong Kong.     

Segregation, the concentration of poverty, and the life chances of individuals

We outline a theoretical model that identifies residential segregation as a primary structural cause of the geographic concentration of poverty in U.S. urban areas. From this theory we specify and estimate a multilevel equation that links minority poverty and segregation within metropolitan areas to the concentration of socioeconomic deprivation within neighborhoods. We then estimate a second set of multilevel equations that connect neighborhood poverty rates to individual-level outcomes commonly associated with the underclass: male joblessness, teenage motherhood, and single parenthood. Our results link economic and social structures at the metropolitan level to individual outcomes that operate to perpetuate poverty and lead to the creation of the underclass.