Individual and organizational strategies for coping with organizational change

During times of significant change to organizations in strategies and structures, employees can experience high levels of stress as their jobs, areas of responsibility and roles also change. Yet research is curiously silent about how people react to organizational change, especially towards promoting healthy responses to change. As a first step to outlining areas for future research this paper considers a range of individual and organizational strategies that may be effective in reducing employee stress and related problems. Prior to the implementation of these strategies, however, organizations must empower employees to adopt the role of change agent and encourage them to take action to solve the problems that stress them. At the individual level, employees can respond to the stress created by organizational change by using problem- and emotion-focused strategies. Also important in coping with change are the personal resources of employees, including a sense of hardiness, beliefs about having control over their work environment, and the availability of social supports within and outside the organization. Although few organizations fully acknowledge their role in helping employees cope with change, there are a number of initiatives that organizations can pursue. Several strategies are discussed in relation to communication, leadership, job-related tasks and stress management programmes.     

Coping resources,coping strategies and adjustment to organizational change: Direct or buffering effects?

Abstract

This study examined the effects of personal and social resources, coping strategies and appraised stress on employees' levels of anxiety and depression. In relation to the effects of resources and coping strategies, two different models were tested. The main effects model proposes that, irrespective of the level of stress, coping resources and coping strategies have direct effects on well-being. In contrast, the buffering model predicts that the buffering effects of coping resources ad strategies are only evident at high levels of stress. One hundred lawyers completed a structured self-administered questionnaire that measured their personal and social resources, use of problem-focused and emotion-focused coping strategies, and appraisals of the stressfulness of the situation. Results revealed generally strong support for the main effects model in the prediction of employee levels of anxiety and depression. Lower levels of anxiety were linked to judgements of lower levels of organizational change, greater self-confidence, greater internality of control beliefs and less use of emotion-focused coping strategies. Lower levels of depression in employees were also linked to judgements of lower levels of organizational change, greater use of resources and less appraised stress. There was only limited support for the buffering effects model. Due to the small size of the sample, the findings need to be explored further in other contexts.     

Objective Bayesian analysis of spatial data with measurement error

The author shows how geostatistical data that contain measurement errors can be analyzed objectively by a Bayesian approach using Gaussian random fields. He proposes a reference prior and two versions of Jeffreys' prior for the model parameters. He studies the propriety and the existence of moments for the resulting posteriors. He also establishes the existence of the mean and variance of the predictive distributions based on these default priors. His reference prior derives from a representation of the integrated likelihood that is particularly convenient for computation and analysis. He further shows that these default priors are not very sensitive to some aspects of the design and model, and that they have good frequentist properties. Finally, he uses a data set of carbon/nitrogen ratios from an agricultural field to illustrate his approach.     

The Pervasive and Persistent Influence of Caste on Child Mortality in India

This study examines the effect of caste on child mortality and maternal health care utilization in rural India using data from the National Family Health Survey (NFHS-2) carried out during 1998–1999. Results from multilevel discrete-time hazard models indicate that, net of individual-level and community-level controls, children belonging to low castes have higher risks of death and women belonging to low castes have lower rates of antenatal and delivery care utilization than children and women belonging to upper castes. At the same time, the controls account for most of the differences within the low castes. Further analysis shows that the mortality disadvantage of low castes is more pronounced in poorer districts. These results highlight the need to target low caste members in the provision of maternal and child health services.     

A new approach to modeling positive random variables with repeated measures

In many situations, it is common to have more than one observation per experimental unit, thus generating the experiments with repeated measures. In the modeling of such experiments, it is necessary to consider and model the intra-unit dependency structure. In the literature, there are several proposals to model positive continuous data with repeated measures. In this paper, we propose one more with the generalization of the beta prime regression model. We consider the possibility of dependence between observations of the same unit. Residuals and diagnostic tools also are discussed. To evaluate the finite-sample performance of the estimators, using different correlation matrices and distributions, we conducted a Monte Carlo simulation study. The methodology proposed is illustrated with an analysis of a real data set. Finally, we create an R package for easy access to publicly available the methodology described in this paper.     

Prevalence of Problem Gambling Among Adolescents: A Comparison Across Modes of Access,Gambling Activities,and Levels of Severity

The high availability and accessibility of online gambling have recently caused public concern regarding the potential increase of gambling-related problems among young people. Nonetheless, few studies among adults and none among adolescents have explored specific characteristics of gamblers as a function of gambling venues to date. This study sought to analyze the prevalence of gambling among a sample of adolescents in the last year, as well as sociodemographic and gambling-related characteristics as possible predictors of at-risk and problem gambling. The sample comprised 1313 adolescents aged 14–18 years. Participants were asked to respond to several questions regarding their gambling behavior. Chi square and ANOVA tests were performed in order to explore differences between groups, and a set of multinomial regressions established significant severity predictors. The prevalence of at-risk and problem gambling was 4 and 1.2 %, respectively. Regression analyses showed that having a relative with gambling problems predicted at-risk gambling. Both living with only one parent or not living with parents at all, and the prevalence of Electronic Gambling Machines in the last year were associated with problem gambling. Mixed-mode gambling was a predictor of both at-risk and problem gambling. Our findings extend previous research on gambling among adolescents by exploring gambling behavior according to different modes of access. Although the prevalence of exclusive online gambling among the total sample was low, these results support the need to consider specific subgroups of gamblers and their concrete related features when conducting both indicated prevention and treatment protocols for adolescents.