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題名:組織認同與離職意向關係的元分析
書刊名:心理學報
作者:張淑華劉兆延
出版日期:2016
卷期:2016(12)
頁次:1561-1573
主題關鍵詞:組織認同離職意向元分析調節效應Organizational identificationTurnover intentionMeta-analysisModerate effect
原始連結:連回原系統網址new window
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  • 共同引用共同引用:2
  • 點閱點閱:5
本研究采用元分析方法探索了組織認同與離職意向的關系。通過文獻搜索與篩選,獲得了59項研究和71個獨立效應量,共包含23180名被試。根據數據特點,采用隨機效應模型對兩者關系進行了分析,結果表明,整體上組織認同與離職意向呈現高等程度的負相關(r=-0.453);不同維度內容的組織認同測量工具、被試從事的行業類型對組織認同與離職意向的關系具有調節效應,但不同認知結構的離職意向測量工具、文化背景的調節效應不顯著。上述結果證明了組織認同對離職意向的影響作用,同時,也強調了科學研究中測量工具使用的科學性。
Employee’ turnover behavior has been an important issue in management circles because it will inevitably bring certain loss for the enterprise. Turnover intention, as the precursor of employee’ turnover behavior, can effectively predict individual behavior of changing job. Importantly, organizational identification, as a core organization construct, can has a significant impact on the turnover intention. Since Riketta’s(2005) meta-analysis on the relationship between organizational identification and antecedents/outcomes of organizational identification, increasing numbers of empirical studies have been published in the field of organizational behavior. The present research to examine in-depth research on the relationship between organizational identification and turnover intention seems timely. Meta-analysis was used in this study to aggregate results from studies examining the relationship between organizational identification and turnover intention. We included studies in both English and Chinese which were conducted between 1985 to 2015. Fifty-nine studies, which included a total of 71 independent samples and 23180 participants, met the criteria for inclusion in the meta-analysis. This overall sample was also divided into subgroups for moderator analysis. Data was analyzed utilizing the Comprehensive Meta-Analysis(CMA) Version 3 program. There are four major analyses in this research, including heterogeneity test, publication bias test, main effect analysis and moderation effect analysis. The test for heterogeneity showed that there was significant heterogeneity in the 71 independent effect sizes, so a random effects model was used as the meta-analysis model. The publication bias test indicated that the impact of publication bias was not statistically significant. Results showed a strong positive correlation(r =-0.453) between organizational identification and turnover intention. Additionally, results indicated that different dimensions in the organizational identification scales and the participants’ industry would moderate the relationship between organizational identification and turnover intention, but the moderation effects through turnover intention scale of different cognitive structure and culture background were not statistically significant. Specifically, in the moderator of organizational identification scales, there was a strong link between organizational identification and turnover intention with the using of organizational identification scales that is composed of the cognitive, affective and evaluative dimensions. In contrast, the link through organizational identification scales with the cognitive dimension was weak. Secondly, for participants in the leasing and business services industry, the correlation between organizational identification and turnover intention was stronger than those in other industries. Results suggest that organizational identification can effectively predict turnover intention. Researchers are expected to emphasize the importance of measuring tools and the particularity of some industries in their further research of organizational identification. Overall, the findings provided empirical evidences on the importance of organizational identification in determining turnover intention, which helps to guide future research.
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