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Ma, S., Lai, H., Zeng, W.L. & Ramalho, N. (2019). Post‐migration place identity and turnover intentions among Chinese millennial migrant workers: the roles of career development satisfaction and organizational identification. The 12th Chinese Strategic Management Scholar Forum第十二届中国战略管理学者论坛.
S. Ma et al., "Post‐migration place identity and turnover intentions among Chinese millennial migrant workers: the roles of career development satisfaction and organizational identification", in The 12th Chinese Strategic Management Scholar Forum第十二届中国战略管理学者论坛, 2019
@misc{ma2019_1734884442595, author = "Ma, S. and Lai, H. and Zeng, W.L. and Ramalho, N.", title = "Post‐migration place identity and turnover intentions among Chinese millennial migrant workers: the roles of career development satisfaction and organizational identification", year = "2019" }
TY - CPAPER TI - Post‐migration place identity and turnover intentions among Chinese millennial migrant workers: the roles of career development satisfaction and organizational identification T2 - The 12th Chinese Strategic Management Scholar Forum第十二届中国战略管理学者论坛 AU - Ma, S. AU - Lai, H. AU - Zeng, W.L. AU - Ramalho, N. PY - 2019 AB - Guided by social identification theory, this study explores the relationship between post‐migration place identity, career development satisfaction and turnover intentions among Chinese millennial migrant workers in manufacturing sector. We propose that career development satisfaction will mediate the negative relationship between post‐migration place identity and turnover intentions among the millennial migrant workers and that these workers’ organizational identification will moderate the relationship between post‐migration place identity and turnover intentions such that place identity has a stronger negative impact on turnover intention for employees higher on organizational identification as compared to those who are lower on organizational identification. Using SPSS Macro PROCESS (Model5), we tested these hypotheses on a sample of 435 millennial migrant workers in 26 firms in manufacturing sector in China. The results support the theoretical model. ER -