THE APPLICATION OF THEORY OF PLANNED BEHAVIOR MODEL IN KNOWLEDGE SHARING--WITH PERCEIVED SELF-EFFICACY AS A MODERATOR

Autor: Ssu-wei Huang, 黃思維
Rok vydání: 2011
Druh dokumentu: 學位論文 ; thesis
Popis: 99
Based on the concept that knowledge itself cannot create value, only through creating and reusing knowledge can bring valuable assets for the organizations. Moreover, past researches suggested that the core competitiveness of the organizations can be enhanced if the knowledge sharing systems can be implemented and the members are willing to share knowledge with others. Therefore, understanding the mechanism of knowledge sharing and employees’ intention of knowledge sharing is important for an organization. Due to the external environment and technical information change rapidly for computer and peripheral equipment manufacturing industry, this study employed the Theory of Planned Behavior model, (TPB) proposed by Ajzen (1985), to examine employees’ intentions of knowledge sharing in the computer related industry. In addition, previous studies have considered the impact of perceived self-efficacy on the relationship between employee’s attitude toward knowledge sharing and his/her behavioral intention. Thus, this study further took perceived self-efficacy into account as a moderator to examine whether or not there are moderating effects in the relationships among the antecedents of the TPB model and employees’ intentions of knowledge sharing. This study conducted a survey by distributing questionnaire on the Internet to collect data. There were a total of 329 valid responses used for data analysis. This study used structural equation models (SEM) to examine the employees’ intention of knowledge sharing. In addition, chi-square difference test was used to investigate whether the perceived self-efficacy exerted some moderating effects on the relationship between the antecedents of the TPB model and employees’ intentions of knowledge sharing. The results showed that all the constructs (attitude, subjective norms, and perceived behavioral control) in the TPB model have positive effects on employees’ knowledge sharing intentions. Moreover, the employees’ subjective norm of knowledge sharing would positively affect their attitudes toward knowledge sharing. When testing the moderating effects, employees’ perceived self-efficacy indeed exerted some moderating effects on the proposed model of knowledge sharing intention. The employee’s attitude of knowledge sharing would have a positive impact on the intention of knowledge sharing, so managers should try to enhance the employee's positive attitude of knowledge sharing by educational training or reward to cope with. In addition, knowledge sharing not only can make employee enhance his/her own self-worth and sense of accomplishment but also can reciprocate each other. Once a positive attitude toward knowledge sharing is established, it will also increase the intention of knowledge sharing. Employee’s subjective norms of knowledge sharing will have a positive effect on his/her intention of knowledge sharing, and subjective norms of knowledge sharing also have a positive effect on the attitude of knowledge sharing, too. The managers can take the approach of group cooperation or contest to promote the benefits of knowledge sharing. The degrees of perceived behavioral control of employee’s knowledge sharing will have a positive impact on his/her intention of knowledge sharing. Some employees may not sufficiently share their own knowledge with others, for keeping their own key information. Therefore, managers can take newsletter to promote the benefits of knowledge sharing, and let employees open their hearts to share knowledge to others. The results showed that an employee’s perceived self-efficacy will enhance the positive relationship between knowledge sharing attitude and knowledge sharing intention. In addition, an employee’s perceived self-efficacy will enhance the positive relationship between knowledge sharing subjective norms and attitude toward knowledge sharing.
Databáze: Networked Digital Library of Theses & Dissertations