Purpose After retirement, energetic seniors still can contribute to social development. This paper aims to explore the structural relationship between energetic seniors’ social reengagement intention (SRI) and its five drivers. The antecedents of energetic seniors’ SRI were identified through extensive literature (including social marketing) review and focus group interviews. Design/methodology/approach Data was collected from Pearl River Delta region of Guangdong Province, China. The proposed model was tested using partial least squares structural equation modeling with a community-based valid sample size of 750 energetic seniors (ages 60+). Findings Results indicate that energetic seniors’ SRI is directly determined by their perceived social value and knowledge sharing intention, which are, in turn, directly determined by their individual social capital, social achievement motivation and perceived social risk. Originality/value To the best of the authors’ knowledge, this is the first study to provide a new approach toward reengagement social development for energetic seniors. The discussion provides implications and managerial new insights for research and practice of population aging.
This study investigates how social enterprises can apply social media to promote customer engagement and relationship quality. Drawing on the theory of planned behavior and value co-creation value perspective, this study proposed a model illustrating how social enterprises can utilize social media to promote customers' engagement and strengthen the relationship quality. Methods: An online questionnaire survey was conducted in Taiwan to collect data and partial least square regression was used to analyze the validated data. Findings: the study contributes to the literature on the application of social media to promote customer engagement and relationship quality and provides useful guidance for social enterprises seeking to employ social media in order to effectively manage customer relationships.
This study explores how parents perceive and accept the tutoring education by drawing on the Theory of Planned Behavior (TPB). It proposed a model illustrating how parents of junior high school students are affected from attitude, subjective norms, perceived behavior control and perceived public education policy changed. An online survey was implemented in Taiwan to collect data and PLS-SEM was used to check the validated data and analysis the model. The results contribute that the four independent variables, "attitude toward behavior", "subjective norm", "perceived behavior control", and "perceived public education policy change", can promote the parents' behavioral intention to accept tutoring educations. Tutoring industries are suggested to employ corresponding business strategy to effectively manage customer's intention and relationship.
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