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Clusters of knowledge employee turnover risk perception research on turnover intention

Author: SunYue
Tutor: HuZuo
School: Huazhong University of Science and Technology
Course: Business management
Keywords: Industrial clusters Knowledge workers Risk perception Turnover Intention Cognitive Biases
CLC: F224
Type: PhD thesis
Year: 2009
Downloads: 1080
Quote: 9
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Abstract


As China's economy continues to develop, more and more participation in the world of economic cooperation and competition. Industrial clusters as a new model of industrial development in the world's leading role in the economic development of more and more obvious. Industrial clusters to gain competitive advantage and maintain long-term trends in a timely manner to achieve and maintain high-quality knowledge workers is the key. However, in the context of industrial clusters, because the flow of knowledge workers in the accelerating frequency for enterprise knowledge workers bring many uncertainties remain, thereby affecting the company's core competitiveness improved. Therefore, the study of knowledge industry clusters employees zhen job risk perception characteristics, leaving the risk perception factors, building separation between risk perception and intention to quit inexpensive model has important theoretical value and practical significance. This article first industrial clusters and separation-related theoretical literature Xin-examine the main ideas and summarize the theory of cognitive psychology Fu Hai basis, through theoretical research, defines knowledge workers leaving the concept of risk perception, risk perception proposed career development, Performance of risk perception and risk perception three dimensions of organizational support knowledge constitutes the idea of ??employee turnover risk perception; through literature research, depth interviews, focus group discussions, open-ended and closed questionnaire survey, from leaving the likelihood of risk and seriousness of the consequences of both measuring knowledge level of employee turnover risk perception, risk perception verify the separation characteristics of three-dimensional structures constructed conceptual knowledge employee turnover risk perception model of the three-dimensional structure. Secondly, the use of prospect theory and cognitive psychology theory, empirical research and analysis of knowledge employee turnover risk perception factor. In reference point effect theory, put forward the individual characteristics of knowledge workers on risk perception of separation there are significant differences; heuristically based on the theory of cognitive bias, overconfidence proposed control fantasy, believe law of small numbers of knowledge employee turnover risk perception significant impact. From the overall trend of the knowledge level of individual employees point of reference for the impact of perceived risk leaving; through regression analysis to study overconfidence control fantasy, believe that the law decimals are three kinds of cognitive biases employee turnover risk perception of knowledge there is a significant negative correlation effect, overconfidence in the control fantasy and turnover risk perception exists regulating effect. Finally, knowledge of risk perception employee turnover and turnover intention predictor of the theoretical and empirical research, build perceived risk leaving the impact on turnover intention relationship model. The industry cluster employment of knowledge workers to determine their risk perception turnover intention as an important antecedent to study the career development risk perception, risk perception and performance to achieve organizational support risk perception on knowledge workers the relationship between turnover intention, on this basis, studies of individual risk preferences in risk perception and intention to quit leaving the moderating effect, revealing the perceived risk leaving each dimension effect on turnover intention process and mechanism.

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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