A association study among Organizational learning, Knowledge sharing, Organizational identification and Business performance : a case study in Government-owned Bank Industry
Autor: | Hui-Lan Wang, 王惠蘭 |
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Rok vydání: | 2013 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 101 In the knowledge-based economy, business performance depends on talent and knowledge. Talent must be through continuous learning to increase knowledge. Organizational learning is the momentum of promoting organizational growth. Knowledge sharing can make this momentum to achieve synergistic effects. Organizational identification is the willingly inherent sense of organization employees. These three dimensions have important influences on business performance. In this study, the government-owned bank industry as an example, discusses the relevance among organizational learning, knowledge sharing, organizational identification and business performance. The purposes of this study are: (1) In order to understand the differences of cognition degree among organizational learning, knowledge sharing, organizational identification and business performance in the different background variables employees of government-owned bank industry. (2) In order to analysis the relationships among organizational learning, knowledge sharing, organizational identification and business performance in the government-owned bank industry. (3) Based on the above results, proposed some suggestions that can enhance organizational learning, knowledge sharing, organizational identification and business performance for government-owned bank industry. This study used literature analysis, questionnaire, secondary data analysis, three research methods. In order to explore the most objective findings. This study used quantitative analysis software SPSS to statistics and analysis questionnaire, used Structural Equation Model (SEM) for data causality analysis, and used AMOS for drawing the path graph, testing whether the data conform to the established pattern. Questionnaires were sent out for an entity questionnaires. 641 questionnaires were distributed, a total of 549 valid questionnaires, the effective rate 85.65%. After SPSS and AMOS integrated and analyze, respectively for sample analysis, descriptive statistical analysis, demographic variables analysis, and the discrepancy Analysis between the various dimensions. Using structural equation model to execute confirmatory factor analysis and structural model analysis to understand the relevance of each dimension. About the cognition degree of variances dimensions in different demographic variables empolyees of government-owned bank industry, the results showed that older employees are greater than younger employees in many dimensions. Specialist academic degree employees are greater than university and master degree employees in many dimensions. Higher position employees are greater than lower position employees in many dimensions. Administration department employees are greater than the foreign exchange department employees in many dimensions. Management work employees are greater than tellers in many dimensions. Eastern region employees are greater than outer islands employees in organizational learning and knowledge sharing behavior. Southern region employees are greater than northern region employees in loyalty and similarities of organizational identification. In addition, about the business performance of government-owned bank industry, the most influential factor is the organizational identification, followed by the organizational learning. Knowledge sharing is no positive influence on business performance in government-owned bank industry. Among Organizational learning, knowledge sharing and organizational identification, besides that organizational identification is no positive influence on organizational learning, the rest have positive mutual direct effects and indirect effects. Finally, according to the conclusions, this study proposed some suggestions to related people of the government-owned bank industry for working reference. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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