SUMMARY This article will focus on the research exploring the degree to which organizational integration of Employee Assistance, Work/Family and Wellness Programs has evolved since the early 1990s. The first study reviewed is the National Study of EAP and Work/Family Programs conducted in 1994 by Boston University's Center on Work and Family in which 100 of the top family friendly companies were inter viewed. Two major studies conducted under the guidance of the Employee Assistance Professional Association (EAPA) are then reviewed. The Phase I research conducted in 2001 was a large-scale survey of the professionals in fields of EAP and Work-life (N = 950). The Phase II research conducted in 2002 was comprised of two stages: A pilot study surveying vendors in the EAP and Work-life fields (N = 213) and a qualitative study consisting of in-depth interviews with vendors from all three professions (N = 79). The overall theme from this body of research is one of dramatically increasing movement and market demand for some form of collaboration/integration of service delivery. Finally, the chapter offers recommendations for further research regarding integration of services as well as implications for the professional fields. 相似文献
Summary The purpose of this paper is to illustrate how the Collaborative HIV Prevention and Adolescent Mental Health Project-South Africa (CHAMPSA) began and to present some of the results from this South African version of CHAMP. This paper informs readers of a number of lessons about international program translation. The first important lesson is that there are universal principles of health behavior change that seem to be useful across cultures. The implementation of these principles, however, needs to be informed by an in-depth understanding of local cultural contexts. The second important lesson is that it is possible to undertake large-scale, scientifically sophisticated community-based prevention research in developing countries through international collaborative research projects. It is the authors' hope that this mixture of science, service, and business will inspire other public health, community mental health, research, and business professionals to develop international prevention interventions that can be shown to be effective, and disseminated on a wide scale. 相似文献
Multi-criteria inventory classification groups inventory items into classes, each of which is managed by a specific re-order policy according to its priority. However, the tasks of inventory classification and control are not carried out jointly if the classification criteria and the classification approach are not robustly established from an inventory-cost perspective. Exhaustive simulations at the single item level of the inventory system would directly solve this issue by searching for the best re-order policy per item, thus achieving the subsequent optimal classification without resorting to any multi-criteria classification method. However, this would be very time-consuming in real settings, where a large number of items need to be managed simultaneously.
In this article, a reduction in simulation effort is achieved by extracting from the population of items a sample on which to perform an exhaustive search of best re-order policies per item; the lowest cost classification of in-sample items is, therefore, achieved. Then, in line with the increasing need for ICT tools in the production management of Industry 4.0 systems, supervised classifiers from the machine learning research field (i.e. support vector machines with a Gaussian kernel and deep neural networks) are trained on these in-sample items to learn to classify the out-of-sample items solely based on the values they show on the features (i.e. classification criteria). The inventory system adopted here is suitable for intermittent demands, but it may also suit non-intermittent demands, thus providing great flexibility. The experimental analysis of two large datasets showed an excellent accuracy, which suggests that machine learning classifiers could be implemented in advanced inventory classification systems. 相似文献
A three-parameter generalisation of the beta-binomial distribution (BBD) derived by Chandon (1976) is examined. We obtain the maximum likelihood estimates of the parameters and give the elements of the information matrix. To exhibit the applicability of the generalised distribution we show how it gives an improved fit over the BBD for magazine exposure and consumer purchasing data. Finally we derive an empirical Bayes estimate of a binomial proportion based on the generalised beta distribution used in this study. 相似文献
Interdependency analysis in the context of this article is a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). Invoking the principles of input-output (I-O) and decomposition analysis, the article offers a framework for describing how terrorism-induced perturbations can propagate due to interconnectedness. Data published by the Bureau of Economic Analysis Division of the U.S. Department of Commerce is utilized to present applications to serve as test beds for the proposed framework. Specifically, a case study estimating the economic impact of airline demand perturbations to national-level U.S. sectors is made possible using I-O matrices. A ranking of the affected sectors according to their vulnerability to perturbations originating from a primary sector (e.g., air transportation) can serve as important input to risk management. For example, limited resources can be prioritized for the "top-n" sectors that are perceived to suffer the greatest economic losses due to terrorism. In addition, regional decomposition via location quotients enables the analysis of local-level terrorism events. The Regional I-O Multiplier System II (RIMS II) Division of the U.S. Department of Commerce is the agency responsible for releasing the regional multipliers for various geographical resolutions (economic areas, states, and counties). A regional-level case study demonstrates a process of estimating the economic impact of transportation-related scenarios on industry sectors within Economic Area 010 (the New York metropolitan region and vicinities). 相似文献