Research On The Correlation Between Off-Job Embeddedness And Turnover Of Chinese Employees In Multi-National Enterprises In Dalian

The dissertation explores the correlation between off-job embeddedness and employees'turnover of multi-national corporations in Dalian.the job embeddedness model (JE) by Mitchell and Lee (2001) has 6 original dimensions which have been found to explain variance in turnover above the most significant predictors, such as job satisfaction and job alternative. Although this research model has been often used in the analysis of western companies, there has been a scarcity of its implementation in China, which clearly has a more collectivist approach to business operations.As China develops, the needs of its workforce are also developing. Factors such as social harmony and quality of life are becoming increasingly relevant to individual employees in China. With such developments off-job embeddedness becomes increasingly important to explain how out-of-job factors influence employee turnover.Hence, research about the correlation between off-job factors and intention to leave a company is becoming more necessary.This dissertation takes a two step approach to testing and extending the JE model in china. First, based on the literature review,interview and open-questionnaires, scale items which formed the initial scale were collected. Secondly the off-job embeddedness model was extended to include a family factor by using two new dimensions, family links and family fit, and it is suggested that these factors would predict turnover intension of multi-national corporations in Dalian.Data was collected from the companies in the SoftPark Zone in Dalian (n=70). SEM model analysis supported the community fit and family link factor. As hypothesized, community fit% community sacrifice and family link factors predicted turnover intention in multi-national corporations. However, community fit and family fit factors did not predict turnover intention because the phenomenon in china that social stratification and residential segregation is getting serious.At last, it is suggested that community alarm system created by this research should be launched in a multi-national company to predict employee turnover.