METHODS: Use "China Family Panel Studies" (CFPS) data and build Logit and propensity score matching models to empirically study the impact of children care and elderly care on rural married women going out to work. And explore the welfare effects of basic education public services in helping rural women take care of their families.
RESULTS: The results show that caring for children has a significant hindering effect on rural married women's job hunting. Especially for those in low-income families, the employment inhibition is most significant among women aged 20-30 with multiple children. Contrary to previous cognition, supporting the elderly has a certain weak stimulating effect. The kindergarten public services in rural areas can help women take care of their children and relieve their work pressure. The primary school public services have not played a role in alleviating them.
DISCUSSION: This shows that there are still a large number of female laborers in rural China who are unable to go out to work due to family care. The improvement of rural basic education public services can promote more rural women going out to work. This finding will provide a policy reference for the introduction of a formal care system and the establishment of basic education public services in China.
METHODOLOGY: We rely on the person-organization fit theory for our conceptual framework and we collected primary data from 124 respondents designated as chairman and managing directors in small family businesses.
RESULTS: Our results show that a descendant entrepreneur's openness, extroversion, conscientiousness, and agreeableness traits are likely to lead to successful family business succession, but a descendant entrepreneur with neuroticism trait is unlikely to do so. In addition, our results reveal that the DE-FBVC mediates the relationship between openness and extroversion traits with succession success positively, but between neuroticism trait and succession success negatively. By contrast, we find that DE-FBVC does not mediate the relationship between conscientiousness and agreeableness traits with succession success.
ORIGINALITY: The findings of our study suggest that while four of the Big-5 personality traits matter for the success of small family business succession, specific personality traits of descendant entrepreneurs which are found to be congruent with the values of their family business, will also lead to succession success.
METHODS: A total of 409 male wrestlers participated in this study. MANOVA analysis showed that NA and DRE alone have no effect on MDD but have a general effect on mindfulness.
RESULTS: The highest effect was on the ASD of being an NA ( η p 2 = 0.173). When the interaction effect of NA*DRE was examined, significant difference in MDD (F = 8.218, p = 0.004), ASD (F = 8.476, p = 0.004), JSD (F = 5.844, p = 0.016), and RSD (F = 11.476, p = 0.001) were found. MDD has a weak negative relationship with ASD (r = -0.126) and RSD (r = -0.041) and a weak positive relationship with the JSD sub-dimension (r = 0.140). Those results suggest that being a NA and having received anti-doping education affect moral disengagement in doping and athletes' mindfulness.
DISCUSSION: As a conclusion, it is recommended to increase awareness and anti-doping education among national-standard Turkish wrestlers to prevent them from engaging in doping behaviors.
METHOD/PROCESS: We study SNS' effects on well-being by accounting for users' personal (i.e., self-disclosure) and situational (i.e., social networks) attributes, using a mixed design of content analysis and social network analysis.
RESULT/CONCLUSION: We compare users' within-person changes in self-disclosure and social networks in two phases (over half a year), drawing on Weibo Depression SuperTalk, an online community for depression, and find: ① Several network attributes strengthen social support, including network connectivity, global efficiency, degree centralization, hubs of communities, and reciprocal interactions. ② Users' self-disclosure attributes reflect positive changes in mental well-being and increased attachment to the community. ③ Correlations exist between users' topological and self-disclosure attributes. ④ A Poisson regression model extracts self-disclosure attributes that may affect users' received social support, including the writing length, number of active days, informal words, adverbs, negative emotion words, biological process words, and first-person singular forms.
INNOVATION: We combine social network analysis with content analysis, highlighting the need to understand SNS' effects on well-being by accounting for users' self-disclosure (content) and communication partners (social networks).
IMPLICATION/CONTRIBUTION: Authentic user data helps to avoid recall bias commonly found in self-reported data. A longitudinal within-person analysis of SNS' effects on well-being is helpful for policymakers in public health intervention, community managers for group organizations, and users in online community engagement.