Learning organization practices: a case of Samsung SDMA (M) Sdn. Bhd. / Nor Hafizah Abdul Rahman

• Main Author: Abdul Rahman, Nor Hafizah
• Format: Thesis
• Language: English
• Published: 2002
• Online Access: https://ir.uitm.edu.my/id/eprint/102282/1/102282.pdf; https://ir.uitm.edu.my/id/eprint/102282/
• Institution: Universiti Teknologi Mara

This research attempts to measure and examine the degree to which Samsung SDMA (M) Sdn. Bhd. is transforming itself into a learning organization. The specific objectives were to identify the degree of the seven dimensions i.e. create continuous learning, promote dialogue and inquiry, team learning, embedded systems, empowering, system connection and leadership, exists in the company as well as to find out the perceive changes in productivity performance and knowledge management. Besides that this study is also to find whether there is relationship between the seven dimensions with productivity performance and knowledge management. This study uses questionnaire survey called Dimension of the Learning Organization Questionnaire (DLOQ) developed by Watkins and Marsick (1993). A total of 206 questionnaires were sent and 81 were returned and analysed. Factor score, correlation and Stepwise Multiple regression were used to test the respective hypotheses. The findings of the study showed that Samsung SDMA (M) Sdn. Bhd. Is in a moderate stage of becoming a learning organization. The results of the hypotheses show that there are positive and significant relationships between Dimension 3 Team Learning, Dimension 5 Empowering and Dimension 7 Leadership with productivity performance. On the other hand, there are positive and significant relationships between all dimensions with knowledge management. The seven dimensions were also tested for predictability of productivity performance and knowledge management. Dimension 3 Leadership was the strongest predictor of productivity performance based on Beta values in stepwise multiple regression output, whereas, Dimension 7 Leadership was the strongest predictor of knowledge performance. However, the other variables tested were not found to be significant as a determinant of productivity performance and knowledge management.