Extant research suggests that workplace ostracism has a detrimental impact on the outcomes of employees. However, very little is known about the impact of workplace ostracism on sleep quality. Therefore, this study aimed to address this gap in the literature. By employing the extended stressor-detachment model, we investigated the mediating role of psychological detachment and the moderating role of coping humor. We used a self-report questionnaire and a time-lagged research design to assess employees’ workplace ostracism, coping humor, psychological detachment, and (...) sleep quality. A total of 403 valid questionnaires were obtained from participants in full-time employment in China. As predicted, the results showed that workplace ostracism is negatively associated with psychological detachment, which in turn, impairs sleep quality. We further found that high levels of coping humor buffer the negative effect of workplace ostracism on psychological detachment and sleep quality. In addition, the moderation effect of coping humor on the relationship between workplace ostracism and sleep quality is mediated by psychological detachment. Finally, based upon the results, we discuss the theoretical implications, provide practical proposals for managers and policymakers, and make suggestions for the direction of further research. Keywords: workplace ostracism, coping humor, psychological detachment, sleep quality, mediated moderation model. (shrink)

PurposeThis study aims to develop and validate a stigma scale for Chinese patients with breast cancer.MethodsPatients admitted to the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, for breast cancer treatment participated in this study. Development of the Breast Cancer Stigma Scale involved the following procedures: literature review, interview, and applying a theoretical model to generate items; the Breast Cancer Stigma Scale’s content validity was assessed by a Delphi study and feedback from patients with breast cancer ; (...) exploratory factor analysis was used to assess the construct validity; convergent validity was assessed with the Social Impact Scale ; internal consistency Cronbach’s α, split-half reliability, and test–retest reliability were used to identify the reliability of the scale.ResultsThe final version of the Breast Cancer Stigma Scale consisted of 15 items and showed positive correlations with the Social Impact Scale. Exploratory factor analysis revealed four components of the Breast Cancer Stigma Scale: self-image impairment, social isolation, discrimination, and internalized stigma, which were strongly related to our perceived breast cancer stigma model and accounted for 69.443% of the total variance. Cronbach’s α for the total scale was 0.86, and each subscale was 0.75–0.882. The test–retest reliability with intra-class correlation coefficients of the total scale was 0.947, and split-half reliability with intra-class correlation coefficients of the total scale was 0.911. The content validity index was 0.73–1.0.ConclusionThe newly developed Breast Cancer Stigma Scale offers a valid and reliable instrument for assessing the perceived stigma of patients with breast cancer in clinical and research settings. It may be helpful for stigma prevention in China. (shrink)

Previous research showed that fear-inducing graphic warning labels can lead to cognitive dissonance and defensive responses. Less threatening, social-related warning labels do not elicit these defensive responses, making them more effective in preventing smoking in adults. Given that smoking numbers are still too high among youngsters, it is crucial to investigate how warning labels should be designed to prevent teenagers from starting smoking in the first place. In two studies, we investigated whether comparable effects of social-related warning labels could be (...) observed in a group of teenagers (14-17 years) who are not yet legally allowed to smoke. In addition, we tried to replicate earlier findings with smoking and non-smoking adults. Participants were presented with either health warning labels, social warning labels, or no warning labels. Subsequently, their explicit cognitions (i.e., risk perception, attitude towards smoking) and their implicit associations of smoking with healthiness/unhealthiness (Study 1a and Study 1b) and with positivity/negativity (Study 2a and Study 2b) were assessed. Results showed that in both studies, adult smokers had a higher risk perception and a more positive attitude towards smoking than adult non-smokers. Additionally, social warning labels lead to stronger implicit associations between smoking and negativity in Study 2 in the adult groups. In the teenage group, social warning labels lead to more positive attitudes than health warning labels in Study 2. No further effects on risk perception or implicit associations were found in the teenage group. Possible explanations are discussed. (shrink)

China is experiencing high social inequality accompanying influential education reforms. The Independent Freshmen Admission policy was one of the multiple strategies in higher education reforms in China against the social context of high social inequality and the expansion of higher education. By comparing students admitted through IFA with those admitted by the National College Entrance Examination, we examined how family advantages contributed to higher education inequality in terms of educational opportunity, process, and results. Using data from an elite university in (...) Beijing, we found that: Family advantages improved a student’s likelihood of being admitted through IFA, exhibiting opportunity inequality. No significant difference in academic grades existed between the students admitted through IFA and NCEE. In comprehensive quality, however, those recruited through IFA performed significantly better than those admitted through NCEE. Family social capital not only increased the likelihood of students being admitted through IFA but also, through direct and indirect effects, increased their comprehensive quality performance in terms of receiving student association and social practice awards. (shrink)

There has been some research conducted regarding nurses’ career success aimed at exploring its influencing factors, but there is no research on the mechanism of self-identity on the career success of infection control nurses. In order to further explore the formation mechanism of career success of nurses, we conducted our study using the Kaleidoscope Career Model to explore the chain-mediating effects of cognitive emotion regulation and social support between self-identity and career success. Five hundred forty-seven infection control nurses from nine (...) different hospitals participated in the study and completed questionnaires on the self-identity, cognitive emotion regulation, social support, and career success scales. The results from structural equation modeling reveal that self-identity has a positive effect on positive emotion regulation and social support and a negative impact on negative emotion regulation. Positive emotion regulation has a positive effect on social support. All antecedents have a positive impact on career success except negative emotion regulation, which has a negative one. Bootstrap analysis shows that the relationship between self-identity and career success is partially mediated by the chain of cognitive emotion regulation and social support. Overall, our research sheds light on the mechanism of self-identity on career success of nurses. Theoretical and practical implications are discussed. (shrink)

To improve the problems of inconvenient communication in the manufacturing industry, the ineffective use of resources, and the inability to efficiently complete manufacturing tasks, resource sharing has become an important model to promote the transformation and upgrading of the manufacturing industry. We used multiagent modeling to construct a resource-sharing model and take Baosteel as the micro background and the manufacturing industry as the macro background. Under this model, we discovered the effect of resource sharing on the efficiency of intelligent manufacturing (...) under network collaboration through system dynamics research. We built and simulated a dynamic model of system dynamics that couples the two backgrounds and have given policy suggestions according to the simulation result. (shrink)