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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:4)
Article Information:

Job Satisfaction and Knowledge Sharing among Computer and Information Science Faculty Members: A Case of Malaysian Universities

Mobashar Rehman, Ahmad Kamil Mahmood, Rohani Salleh and Aamir Amin
Corresponding Author:  Mobashar Rehman 
Submitted: May 17, 2013
Accepted: June 10, 2013
Published: January 27, 2014
Abstract:
Job satisfaction and knowledge sharing are the topics which have gained the attraction of researchers and practitioners over the years. These two areas have great importance for the overall well-being of an organization. This study explored the relation between job satisfaction dimensions and knowledge sharing behaviour. Job satisfaction dimensions were adapted from Minnesota Satisfaction Questionnaire. Knowledge sharing was categorized as explicit knowledge donation, explicit knowledge collection, implicit knowledge donation and implicit knowledge collection. Data was collected from Malaysian universities and only CIS academicians were requested to participate in the study. Faculty members from Universiti Teknologi PETRONAS, Universiti Teknnology Mara, Universiti Malaya and Multimedia Univesiti participated in the study. Questionnaire method was used to collect data and both online, hard-copy methods were used. Results showed that data was highly reliable. Company policies and practices, achievement, recognition, co-workers and moral values are the factors which showed significant correlations with various categories of knowledge sharing.

Key words:  Academicians, computer and information science, explicit and implicit knowledge collection, explicit and implicit knowledge donation, job satisfaction, ,
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Cite this Reference:
Mobashar Rehman, Ahmad Kamil Mahmood, Rohani Salleh and Aamir Amin, . Job Satisfaction and Knowledge Sharing among Computer and Information Science Faculty Members: A Case of Malaysian Universities. Research Journal of Applied Sciences, Engineering and Technology, (4): 839-848.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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