When predicting volunteer intention, much attention is paid to the volunteer organization environment (VOE). Given that self-efficacy and motivation have emerged as important predictors of volunteer intention, we adopted a combination of ideas of Bandura's social cognitive theory and Ajzen's theory of planned behavior integrating VOE, self-efficacy and motivation to examine their effects on volunteer intention and to determine whether self-efficacy and motivation mediate the relationship between VOE and volunteer intention. The subjects of this study consisted of 198 community health volunteers in Shanghai city, China. Exploratory factor analysis was performed to identify the factor structure using standard principal component analysis. Six new factors were revealed, including two VOE factors, relation with organization and support from government; two motivation factors, personal attitude and social recognition; self-efficacy and volunteer intention. The results of a hierarchical regression analysis indicated that relation with organization accounted for 14.8% of the variance in volunteer intention, and support from government failed to add significantly to variance in volunteer intention; self-efficacy and personal attitude motivation partially mediated the effects of relation with organization on volunteer intention; social recognition motivation did not mediate the relationship between relation with organization and volunteer intention; and relation with organization, self-efficacy and personal attitude motivation accounted for 33.7% of the variance in volunteer intention. These results provide support for self-efficacy and personal attitude motivation as mediators and provide preliminary insight into the potential mechanisms for predicting volunteer intention and improving volunteering by integrating VOE, self-efficacy and motivation factors.
The floating population refers to the large and increasing number of migrants without local household registration status and has become a new demographic phenomenon in China. Most of these migrants move from the rural areas of the central and western parts of China to the eastern and coastal metropolitan areas in pursuit of a better life. The floating population of China was composed of 121 million people in 2000, and this number was expected to increase to 300 million by 2010. Quality of life (QOL) studies of the floating population could provide a critical starting point for recognizing the potential of regions, cities and local communities to improve QOL. This study explored the construct of QOL of the floating population in Shanghai, China. We conducted eight focus groups with 58 members of the floating population (24 males and 34 females) and then performed a qualitative thematic analysis of the interviews. The following five QOL domains were identified from the analysis: personal development, jobs and career, family life, social relationships and social security. The results indicated that stigma and discrimination permeate these life domains and influence the framing of life expectations. Proposals were made for reducing stigma and discrimination against the floating population to improve the QOL of this population.
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