Summary: | 碩士 === 國立臺灣師範大學 === 科技應用與人力資源發展學系人力資源碩士在職進修專班 === 99 === "Civil society" has become the society expanded direction of modern democratic countries. People usually take the role of volunteer service (volunteered social worker) to participate the social service work of all kinds of non-profit organizations. Since the volunteered social workers are not driven by salary or return and are of highly autonomous, non-profit organizations usually have to face and deal with the volunteered social worker management issues such as: the reduction of willingness of participation, the increase of alienated feeling as well as higher quit rate, etc. Therefore, the main purpose of this study is to understand the perceptive cognition and related situation of the participation motivation and organizational commitment of the members of Reservist Counseling Organization.
In this study, questionnaire survey method is adopted, and the members of Reservist Counseling Organization are used as the research target. Moreover, the obtained data is analyzed by statistical methods such as: descriptive statistical analysis, independent-sample t test, Pearson product-moment correlation, factorial ANOVA, Scheffe posterior comparison and multiple stepwise regressions. The major obtained conclusions are listed as follows:
1. The members of Reservist Counseling Organization possess background diversity and altruistic fusion.
2. The participation motivations of the organization members are multiple, and the highest one is member of altruism. Some organization members of different background variables have significant difference in the participation motivation.
3. Among the organization commitments of organization members, the value commitment is the highest. Some organization members of different background variables have significant difference in the organizational commitment.
4. Highly positive correlation exits between the participation motivation and organizational commitment.
5. The participation motivation of organizational members can be used to predict organizational commitment effectively.
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