JOB INSECURITY,STRESS AND GENDER

This study examined the complex relationships between gender, job insecurity and job-related stress. Previous findings have suggested that men experience greater job insecurity than women, and are more vulnerable to job-related stress. The current study tested the hypothesis that the gender ideology of employees moderates the effect of gender on job insecurity and stress. Data were obtained by questionnaires from a sample of 203 married employees. The results showed that traditional men experience greater job insecurity than traditional women. However, as hypothesized, egalitarian men and women exhibited similar degrees of job insecurity. Furthermore, job insecurity in traditional men and in egalitarian men and women was related to loss of control stress, financial stress and stress expressions at home, whereas traditional women were relatively protected from job-related stress. These findings illuminate the important moderating role played by gender ideology in the relationships between gender, job insecurity and stress.     

Assessing goodness-of-fit for evaluation of dose-proportionality

For the clinical development of a new drug, the determination of dose-proportionality is an essential part of the pharmacokinetic evaluations, which may provide early indications of non-linear pharmacokinetics and may help to identify sub-populations with divergent clearances. Prior to making any conclusions regarding dose-proportionality, the goodness-of-fit of the model must be assessed to evaluate the model performance. We propose the use of simulation-based visual predictive checks to improve the validity of dose-proportionality conclusions for complex designs. We provide an illustrative example and include a table to facilitate review by regulatory authorities.     

Simulating Behavioral Influences on Community Flood Risk under Future Climate Scenarios

Flood risk is a function of both climate and human behavior, including individual and societal actions. For this reason, there is a need to incorporate both human and climatic components in models of flood risk. This study simulates behavioral influences on the evolution of community flood risk under different future climate scenarios using an agent-based model (ABM). The objective is to understand better the ways, sometimes unexpected, that human behavior, stochastic floods, and community interventions interact to influence the evolution of flood risk. One historic climate scenario and three future climate scenarios are simulated using a case study location in Fargo, North Dakota. Individual agents can mitigate flood risk via household mitigation or by moving, based on decision rules that consider risk perception and coping perception. The community can mitigate or disseminate information to reduce flood risk. Results show that agent behavior and community action have a significant impact on the evolution of flood risk under different climate scenarios. In all scenarios, individual and community action generally result in a decline in damages over time. In a lower flood risk scenario, the decline is primarily due to agent mitigation, while in a high flood risk scenario, community mitigation and agent relocation are primary drivers of the decline. Adaptive behaviors offset some of the increase in flood risk associated with climate change, and under an extreme climate scenario, our model indicates that many agents relocate.     

Environmental hazard and migration intentions in a coastal area in Ghana: a case of sea flooding

Recently, there has been significant debate about whether ‘environmental migration’ can constitute a form of adaptation to environmental change, as opposed to forced or flight migration. The Foresight Report on Migration and Environmental Change (2011) suggested environmental factors are one driver of migration, as well as political, social, economic and demographic drivers, and that—under the right conditions—migration can be a form of adaptation to changing climatic conditions. However, this is dependent on migrants having adequate social and financial capital to undertake beneficial types of migration; it further argues that environmental change may result in ‘trapped populations’ whereby people who lack the necessary resources to re-establish livelihoods elsewhere may be left exposed to increasingly severe environmental shocks and stresses in situ. Research on the climate-migration nexus in West Africa has largely focused on out-migration from the semi-arid Sahel with more limited evidence about how sea flooding interacts with migration flows. This paper attempts to help fill this knowledge gap. Using data from a representative survey of households across three coastal communities in Ghana’s Volta River Delta, this paper concludes that exposure to sea flooding may not be a primary cause of out-migration as other community, economic and political factors influence migration intentions and decisions. Thus, it is important for planned adaptation interventions to be strengthened in situ to enable households, particularly farming households, sustain their livelihoods.     

Union administrative practices: A comparative analysis

In response to growing challenges, many labor organizations are reevaluating themselves in an effort to become more efficient and effective. Their efforts, however, are limited by their frames of reference. Seldom do unions compare practices across labor movements. To expand these frames of reference we compare union administrative practices in three countries: Canada, the United Kingdom, and the United States. Two specific areas of union administration are examined — human resource/personnel practices and strategic planning. Results from these countries are presented and analyzed to identify and explain similarities and differences.     

Mixed-Poisson Point Process with Partially-Observed Covariates: Ecological Momentary Assessment of Smoking

Ecological Momentary Assessment is an emerging method of data collection in behavioral research that may be used to capture the times of repeated behavioral events on electronic devices, and information on subjects' psychological states through the electronic administration of questionnaires at times selected from a probability-based design as well as the event times. A method for fitting a mixed Poisson point process model is proposed for the impact of partially-observed, time-varying covariates on the timing of repeated behavioral events. A random frailty is included in the point-process intensity to describe variation among subjects in baseline rates of event occurrence. Covariate coefficients are estimated using estimating equations constructed by replacing the integrated intensity in the Poisson score equations with a design-unbiased estimator. An estimator is also proposed for the variance of the random frailties. Our estimators are robust in the sense that no model assumptions are made regarding the distribution of the time-varying covariates or the distribution of the random effects. However, subject effects are estimated under gamma frailties using an approximate hierarchical likelihood. The proposed approach is illustrated using smoking data.     

A Public Transportation Decision‐Making Model within a Metropolitan Area

Understanding the decision‐making factors associated with public transportation is essential in strategic development of public transportation to improve acceptance and utilization of mass transit systems. This research analyzes factors affecting attitudes toward public transportation and the choice of transportation mode by investigating the public transportation decision‐making process of working professionals using a survey methodology. The objectives of this research are to model the transportation decision‐making process of public transportation users in a metropolitan area and to determine key factors that affect the public transportation choices made by potential public transportation users. This study contributes to the literature by developing and testing an integrated theoretical framework for modeling an individual's public transportation decision‐making process using four independent variables: Perceived Public Transportation Security, Knowledge, Price, and Convenience. We develop the proposed theoretical framework based upon the extant literature and tested it using partial least squares structural equation modeling (PLS‐SEM). Based on the Theory of Reasoned Action, the Theory of Planned Behavior, and utility theory, we develop the factors and refine associated items using confirmatory factor analysis.     

The role of leadership in shared mental model convergence and team performance improvement: An agent-based computational model

Research in shared mental models has immeasurably aided our understanding of effective teamwork and taskwork. However, little research has focused on the role that leaders play, if any, in influencing, developing and/or fostering shared mental models and thereby improving team performance. We developed an agent-based computational model based on McComb's theory of three-phase mental model development, where agents repeatedly share individual opinions (orientation phase), evaluate and respond to the opinions expressed by others (differentiation phase), and modify their understanding of the team based on the responses (integration phase). Leadership and team properties are represented in three experimental parameters: social network structure, heterogeneity of agents' domains of expertise, and level of their mutual interest. Participative leadership is represented by a fully connected network, while Leader–Member eXchange (LMX) is represented by a fully connected network of in-group members and several out-group members connected only to the leader. Our simulation results show that, in general, participative leadership promotes mental model convergence better than LMX. In the meantime, the team performance improvement is achieved by participative leadership only when members have both heterogeneous domains of expertise and strong mutual interest. In all other conditions, participative leadership causes the worst degradation of team performance through team development processes, while LMX is the best to minimize such team degradation. Implications and suggestions for future research are provided.