SummaryThis study provides and meta-analytically examines an organizing framework and theoretical model of work-family conflict. Results, based on 1080 correlations from 178 samples, indicate that work role stressors (job stressors, role conflict, role ambiguity, role overload, time demands), work role involvement (job involvement, work interest/centrality), work social support (organizational support, supervisor support, coworker support), work characteristics (task variety, job autonomy, family friendly organization), and personality (internal locus of control, negative affect/neuroticism) are antecedents of work-to-family conflict (WFC); while family role stressors (family stressors, role conflict, role ambiguity, role overload, time demands, parental demands, number of children/dependents), family social support (family support, spousal support), family characteristics (family climate), and personality (internal locus of control, negative affect/neuroticism) are antecedents of family-to-work conflict (FWC). In addition to hypothesized results, a revised model based on study findings indicates that work role stressors (job stressors, role conflict, role ambiguity, role overload) and work social support (organizational support, supervisor support, coworker support) are predictors of FWC; while family role stressors (family stressors, role conflict, role ambiguity, role overload), family involvement (family interest/centrality), family social support (family support, spousal support), and family characteristics (family climate) are predictors of WFC.
Meta-analytic techniques were used to estimate the effects of exposure to community violence on mental health outcomes across 114 studies. Community violence had its strongest effects on posttraumatic stress disorder (PTSD) and externalizing problems and smallest impact on other internalizing symptoms. Victimization by community violence most predicted symptomatology compared to witnessing or hearing about community violence. Witnessing community violence had a greater effect than hearing about violence on externalizing problems, but both types of exposure had an equal impact on other internalizing problems. PTSD symptoms were equally predicted by victimization, witnessing, or hearing about community violence. Compared to children, adolescents reported a stronger relationship between externalizing behaviors and exposure, whereas children exhibited greater internalizing problems than did adolescents.
Empirical research on workaholism has been hampered by a lack of consensus regarding the definition and appropriate measurement of the construct. In the present study, we first review prior conceptualizations of workaholism in an effort to identify a definition of workaholism. Then, we conduct a meta-analysis of the correlates and outcomes of workaholism to clarify its nomological network. Results indicate that workaholism is related to achievement-oriented personality traits (i.e., perfectionism, Type A personality), but is generally unrelated to many other dispositional (e.g., conscientiousness, self-esteem, positive affect) and demographic (e.g., gender, parental status, marital status) variables. Findings are mixed regarding the relationship between workaholism and affectively laden variables, which speaks to the complex nature of workaholism. Results also show that workaholism is related to many negative outcomes, such as burnout, job stress, work–life conflict, and decreased physical and mental health. Overall, results provide solid evidence that workaholism is best conceptualized as an addiction to work that leads to many negative individual, interpersonal, and organizational outcomes.
SummaryIn this study, meta-analytic procedures were used to examine the relationships between individual-level (psychological) climate perceptions and work outcomes such as employee attitudes, psychological well-being, motivation, and performance. Our review of the literature generated 121 independent samples in which climate perceptions were measured and analyzed at the individual level. These studies document considerable confusion regarding the constructs of psychological climate, organizational climate, and organizational culture and reveal a need for researchers to use terminology that is consistent with their level of measurement, theory, and analysis. Our meta-analytic findings indicate that psychological climate, operationalized as individuals' perceptions of their work environment, does have significant relationships with individuals' work attitudes, motivation, and performance. Structural equation modeling analyses of the meta-analytic correlation matrix indicated that the relationships of psychological climate with employee motivation and performance are fully mediated by employees' work attitudes. We also found that the James and James (1989) PC g model could be extended to predict the impact of work environment perceptions on employee attitudes, motivation, and performance. Despite the number of published individual-level climate studies that we found, there is a need for more research using standardized measures so as to enable analyses of the organizational and contextual factors that might moderate the effects of psychological climate perceptions. Finally, we argue for a molar theory of psychological climate that is rooted in the psychological processes by which individuals make meaning or their work experiences.
Meta-analytic techniques were used to estimate the effects of flexible and compressed workweek schedules on several work-related criteria (productivity/performance, job satisfaction, absenteeism, and satisfaction with work schedule). In general, the effects of both schedules were positive. However, the effects of both flextime and compressed workweek schedules were different across the outcome criteria (e.g., compressed workweek schedules did not significantly affect absenteeism). Thus, the level of positive impact associated with either schedule is dependent on the outcome criterion under consideration. Further, several variables were found to be moderators of flexible work schedules. For example, highly flexible flextime programs were less effective in comparison to less flexible programs, and the positive benefits of flextime schedules were found to diminish over time.
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