Reader Interaction with the Online Journal

Abstract

This brief overview has suggested several features of the online or electronic journal article. For the person with a microcomputer and good credit, access will be easy, perhaps even automatic. For the person without a terminal or good credit, printed journals will be a fond memory.     

Decision‐Making Fairness and Consensus Building in Multisector Community Health Alliances: A Mixed‐Methods Analysis

Given their inherently diverse composition and potentially competing interests, a foundational activity of community health alliances is establishing consensus on the vision and strategies for achieving its goals. Using an organizational justice framework, we examined whether member perceptions of fairness in alliances' decision‐making processes are associated with the perceived level of consensus among members regarding the alliance vision and strategies. We used a mixed‐methods design to examine the relationship between perceptions of fairness and consensus within fourteen multisector community health alliances. Quantitative analysis found the perceived level of consensus to be positively associated with decision‐making transparency (procedural fairness), inclusiveness (procedural fairness), and benefits relative to costs (distributive fairness). Qualitative analysis indicated that the consensus‐building process is facilitated by using formal decision‐making frameworks and engaging alliance members in decision‐making processes early. Alliance leaders may be more successful at building consensus when they recognize the need to appeal to a member's sense of procedural and distributive fairness, and, perhaps equally important, recognize when one rather than the other is called for and draw upon decision‐making processes that most clearly evoke that sense of fairness. Our findings reinforce the importance of fairness in building and sustaining capacity for improving community health.     

Cross‐Cultural Differences in Risk Perceptions of Disasters

Public risk perceptions of mass disasters carry considerable influences, both psychologically and economically, despite their oft‐times imprecise nature. Prior research has identified the presence of an optimistic bias that affects risk perception, but there is a dearth of literature examining how these perceptions differ among cultures—particularly with regard to mass disasters. The present study explores differences among Japanese, Argentinean, and North American mental health workers in their rates of the optimistic bias in risk perceptions as contrasted between natural disasters and terrorist events. The results indicate a significant difference among cultures in levels of perceived risk that do not correspond to actual exposure rates. Japanese groups had the highest risk perceptions for both types of hazards and North Americans and Argentineans had the lowest risk perceptions for terrorism. Additionally, participants across all cultures rated risk to self as lower than risk to others (optimistic bias) across all disaster types. These findings suggest that cultural factors may have a greater influence on risk perception than social exposure, and that the belief that one is more immune to disasters compared to others may be a cross‐cultural phenomenon.     

Two deadly diseases and one nearly fatal cure: The sorry state of American sociology

Recent diagnoses of the contemporary crisis in American sociology generally fail to address some of the discipline's most deeply rooted problems and therefore cannot provide an effective remedy. If sociology is to escape from its current moribund condition in the United States, it must move away from prevalent “biologizing” and “naturalizing” attitudes, while also rejecting the false cure of “postmodernism.” A true renaissance will require a critical approach that combines moderate empiricism and moderate relativism with a strong human-rights perspective. Larry T. Reynolds, is the author of over one hundred publications, including twelve books. A senior fellow of the Rockport Institute, he is also past president of the North Central Sociological Association and former chair of the Marxist section of the American Sociological Association.     

Support for Waste Facility Siting: Differences between Community Leaders and Residents

Abstract Decisions regarding hazardous waste facility siting are now open to extensive public debate. Efforts on the part of public officials and private companies to site waste management facilities have been thwarted by public opposition. Using survey data from leaders and residents in communities which are hosting or siting facilities, this study examines their sociodemographic characteristics, knowledge, levels of trust, perceptions of risk, perceptions of economic impacts, perceptions of equity issues and the differential effects of these factors on acceptance of local waste facility siting. Leaders in these communities were more supportive of local waste facility siting than were other community residents. The major determinant of leaders' acceptance of waste siting was their perceptions of the economic benefits of a facility to the community. Although this was also important to residents, perceptions of health, safety, and environmental contamination risks had larger effects on their acceptance of such facilities.     

Connecting older grandmothers raising grandchildren with community resources improves family resiliency,social support,and caregiver self-efficacy

Custodial grandparenting can be especially challenging for older grandmothers facing age specific issues. Kinship navigator programs are social service delivery programs intended to inform grandparents and other relatives raising children about available resources and services, provide information specific to their individual needs, and help families navigate service systems. Our study utilizes self-report data from one kinship navigator federal demonstration project, which used a randomized control trial, to examine demographic characteristics for grandmothers under and over 55 years of age, whether grandmother caregivers (≥55 years) improve family resilience, social support, and caregiver self-efficacy, and which interventions improved outcomes for grandmothers (≥55 years). Each participant was randomly assigned to one of four groups: Usual Care (traditional child welfare services), Standard Care (family support and case management), Peer-to-Peer Care Only, and Full Kin Tech Care (peer navigators with computer access and interdisciplinary team). Thirty-nine percent of grandmothers (55-75 years) were mostly living in poverty, predominantly Caucasian, with 36% identifying as African American/Black, with at least one to two children at home. Repeated-measures ANOVAs for each subscale showed statistically significant within- and between-group differences for Family Functioning, Social Supports, Concrete Supports, Child Development, and Nurturing and Attachment, with the exception of Usual Care, which showed a decline in protective factors consistently across subscales. Future research with kinship families could qualitatively examine the experiences for older women in navigator programs and replication of kinship navigator programs could build capacity in data collection and maintenance systems to gain better perspective about how systems of care impact families.     

Some Empirical Findings on Short-Term Forecasting: Technique Complexity and Combinations

The purpose of this research is to determine if prior findings that favor simple forecasting techniques and technique combinations hold true in a short-term forecasting environment, where demand data can be quite volatile. Twenty-two time series of daily data from a real business setting are used to test one-period ahead forecasts, the epitome of short-term forecasting. The time series vary systematically as to data volatility and forecast difficulty. Forecast accuracy is measured in terms of both mean absolute percentage error (MAPE) and mean percentage error (MPE).     

A Preliminary Qualitative Analysis on the Feasibility of Using Gaming Technology in Caregiver Assessment

This exploratory qualitative study examined the feasibility of utilizing gaming technology that will ultimately assess task performance and stress among caregivers of dementia patients. The long-term goal is to use this unobtrusive application (app) to detect caregiver burnout for the purposes of early intervention. This preliminary study examined participant interface with a specific gaming technology called CAST (Caregiver Assessment Using Serious Gaming Technology). Ten dementia caregivers participated. Participants attended a demonstration and then interacted with a preliminary version of the CAST tablet application. Social work researchers interviewed participants using open-ended questions to gauge interest, technology skill level, and comfort with the app. Participants expressed interest and identified potential ways to further develop the system in order to increase ease of use, decrease time commitment, and improve suitability for daily use. The provided feedback will be used to refine the user interface of the application, which will then be used to monitor caregivers’ stress in future development.     

Planned Lead Times in Multistage Systems

This study investigates the impact of planned lead times on performance in multistage manufacturing where material requirements planning is used in a make-to-stock environment. We simulate a variety of different operating environments and find: (1) planned lead times are important to customer service levels under all operating environments examined, but have a smaller impact on inventory investment; (2) tight due dates introduced by short planned lead times hurt customer service without saving much inventory; (3) small increases to tight planned lead times improve customer service substantially with small inventory increases; (4) co-component inventories change with planned lead times, and disparity between such inventories is a sign of poor timing coordination; (5) the fixed order quantity rule performs better than the periodic order quantity rule; and (6) tall product structure and large lot sizes require particular attention to planned lead times. The findings also extend the current understanding of planned lead times by including uncertainties such as forecast error, yield loss, and equipment reliability. The study concludes with a way to diagnose and improve poorly set planned lead times.