工作要求-资源模型新视角——基于心理社会安全氛围的分析

心理社会安全氛围(Psychosocial safety climate,简称PSC)指员工对组织是否重视员工工作过程中与心理健康和安全相关的政策、规程和行为实践的共同感知和看法.回顾相关研究,对PSC的理论建构、测量方法、效度验证及PSC在工作要求-资源模型(Job Demand-Resource Model,简称JD-R模型)中的作用机制等进行了系统梳理.在此基础上,总结JD-R模型完善的理论贡献与管理启示,并提出PSC理论与测量工具完善、工作要求与工作资源层次匹配、考虑组织外及个人因素、开展本土化研究等未来研究方向.     

Team change climate: A group-level analysis of the relationships among change information and change participation,role stressors,and well-being

We explored whether teams develop shared perceptions regarding the quantity and quality of information and the extent of participation in decision making provided in an environment of continuous change. In addition, we examined whether change climate strength moderated relationships between change climate level and team outcomes. We examined relationships among aggregated change information and change participation and aggregated team outcomes, including two role stressors (i.e., role ambiguity and role overload) and two indicators of well-being (i.e., quality of worklife and distress). Questionnaires were distributed in an Australian law enforcement agency and data were used from 178 teams. Structural equation modelling analyses, controlling for a marker variable, were conducted to examine the main effects of aggregated change information and aggregated change participation on aggregated team outcomes. Results provided support for a model that included method effects due to a marker variable. In this model, change information climate was significantly negatively associated with role ambiguity, role overload, and distress, and significantly positively associated with quality of worklife. Change participation climate was significantly positively associated with quality of worklife. Change climate strength did not moderate relationships among change climate level and team outcomes.     

Effects on organizational context (culture and climate) from implementing a 360-degree feedback system: The case of Arcelik

The current study aims to investigate the impact of the 360-degree feedback system (DFS) on organizational context (culture and climate). This longitudinally designed study was conducted at the Arcelik Cooking Appliances Plant in Turkey with 77 white-collar workers. 360-DFS was based on relevant literature and feedback given to the employees by The Arcelik Competency Model. Results have shown that the 360-DFS has effects on organizational context (e.g., employees' perceptions regarding support and achievement culture). The results have also revealed some significant effects on the participants' perception of the communication and performance appraisal system in the organization.     

Job insecurity climate's influence on employees' job attitudes: Evidence from two European countries

An important amount of literature about job insecurity and its consequences has been developed during the past few decades (Sverke, Hellgren, & Näswall, 2002 Sverke, M., Hellgren, J. and Näswall, K. 2002. No security: A meta-analysis and review of job insecurity and its consequences. Journal of Occupational Health Psychology, 7(3): 242–264. [Crossref], [PubMed] , [Google Scholar]). Most of this research has focused on an individual-analysis perspective, without taking into account social context. Although job insecurity climate has not been empirically examined, several authors have implicitly assumed that job insecurity contexts exist in some organizations where layoffs have occurred. Therefore, they examined layoff survivors' reactions. From this perspective, the aim of this study was to validate the job insecurity climate concept and examine its influence on employees' job attitudes. In order to provide additional support, this objective was examined in two samples: 428 employees belonging to 20 Spanish organizations and 550 employees in 18 Belgian organizations. The results showed that job insecurity climate emerged within the organizations in both samples, and that it influenced employees' job satisfaction and organizational commitment above and beyond individual perceptions of job insecurity in the Spanish sample. The implications and limitations of this study are discussed.     

Implementing climate equity: the case of Europe

For over two decades, international environmental equity – the fair and just sharing of the burdens associated with environmental changes – has been the subject of much debate by philosophers, activists and diplomats concerned about climate change. It has been manifested in many international environmental agreements, notably the Framework Convention on Climate Change and the Kyoto Protocol. The question arises as to whether it is being put into practice in this context. Are the requirements of international environmental equity merely words and principles in international instruments, or are they having a practical effect on the policies of state governments? This article aims to start answering these questions. It examines whether the European Union (EU) and its member states are sharing the burdens of climate change. The article introduces equity in the context of the climate change agreements and looks at some normative and practical considerations. It suggests that Europe has been a leader on international equity in the climate change negotiations over the last decade, and it points to what European states and the EU have done to take on some of the burdens of climate change. Europe's actions are briefly assessed from practical and normative perspectives. Europe is doing more than any other part of the world to address climate change and to share the burdens associated with it. Nevertheless, Europe is not doing as much to address this problem as it can and should do. Both practical and normative imperatives demand more urgent action by Europe to implement climate equity.     

Psychiatric chrono‐epidemiology: its relevance for the study of aggression

Chrono‐epidemiology is the study of the distribution of health events according to time. The time intervals taken into account have cyclic patterns and include circadian, weekly, seasonal, and circannual rhythms. In the behavioural field, chrono‐epidemiology can be and has been applied to studies concerning the causes of death (suicide and homicide), clinical events such as admissions to and contacts with mental healthcare services, and the seasonal distribution of crime involving the use of violence. Frequently reported findings include clear circadian and seasonal rhythms present in the phenomenon of suicide (rhythms more evident in the case of violent suicide); seasonal rhythms in the expression of aggression by patients hospitalised for mental illness; and a circannual recurrence of crimes with a violent component. The intrinsic circadian and seasonal rhythms of some neuronal systems, particularly those of serotonin, involved in the control of mood and impulses, are thought to favour the behavioural rhythms observed, although the contribution of socio‐environmental factors, such as the fluctuation of supportive networks according to time, is also acknowledged. By demonstrating non‐casual recurrence of certain behaviour and by exploring the socio‐biological basis of the rhythms beneath these recurrences, chrono‐epidemiology may offer important etiologic and preventive clues to the understanding of the biological and environmental correlates of aggressive behaviour. Aggr. Behav. 28:477–490, 2002. © 2002 Wiley‐Liss, Inc.     

Human Nature: What We Need to Know about Ourselves in the Twenty-First Century

The Western worldview that now dominates the planet embodies beliefs about human nature that are inconsistent with our evolutionarily evolved natures. Its "logic" at best ignores and at worst creates the symptoms of the modern world, which if uncorrected predict severe crises in coming centuries: population growth, environmental destruction, economic collapse, and increasing social violence. In contrast, there are numerous communities today creating alternative solutions based on different understandings of human nature and human needs: cooperation rather than competition; meaningful social identity; and respect for and trust in the autonomous behavior of all persons. There exist optimistic future models.     

Can Civility Norms Boost Positive Effects of Management Commitment to Safety?

We proposed that civility norms would strengthen relationships between management commitment to safety and workers' safety motivation, safety behaviors, and injuries. Survey data were obtained from working adults in hazardous jobs—those for which physical labor is required and/or a realistic possibility of physical injury is present (N = 290). Results showed that management commitment positively related to workers' safety motivation, safety participation, and safety compliance, and negatively related to minor injuries. Furthermore, management commitment to safety displayed a stronger positive relationship with safety motivation and safety participation, and a stronger negative relationship with minor worker injuries when civility norms were high (versus low). The results confirm existing known relationships between management commitment to safety and worker safety motivation and behavior; furthermore, civility norms facilitate the relationships between management commitment to safety and various outcomes important to worker safety. In order to promote an optimally safe working environment, managers should demonstrate a commitment to worker safety and promote positive norms for interpersonal treatment between workers in their units.     

Dealing with Multiple Solutions in Structural Vector Autoregressive Models

Structural vector autoregressive models (VARs) hold great potential for psychological science, particularly for time series data analysis. They capture the magnitude, direction of influence, and temporal (lagged and contemporaneous) nature of relations among variables. Unified structural equation modeling (uSEM) is an optimal structural VAR instantiation, according to large-scale simulation studies, and it is implemented within an SEM framework. However, little is known about the uniqueness of uSEM results. Thus, the goal of this study was to investigate whether multiple solutions result from uSEM analysis and, if so, to demonstrate ways to select an optimal solution. This was accomplished with two simulated data sets, an empirical data set concerning children's dyadic play, and modifications to the group iterative multiple model estimation (GIMME) program, which implements uSEMs with group- and individual-level relations in a data-driven manner. Results revealed multiple solutions when there were large contemporaneous relations among variables. Results also verified several ways to select the correct solution when the complete solution set was generated, such as the use of cross-validation, maximum standardized residuals, and information criteria. This work has immediate and direct implications for the analysis of time series data and for the inferences drawn from those data concerning human behavior.