:: Volume 13, Issue 1 (6-2018) ::
2018, 13(1): 48-55 Back to browse issues page
Predicting Knowledge Management through Professional Ethics
Abstract:   (2720 Views)
Background: The successful organizations are those that create or acquire new knowledge or convert it to practical ways to improve their activities and this will be achieved via professional ethics as well as through maintaining privacy sphere implications, fundamental freedoms, moral responsibility, value and responsive attitude, sense of cooperation and ownership and confidentiality. Therefore, the present study aims to evaluate the impact of professional ethics on knowledge management.
Method: This research is a descriptive-correlation research. Population of the study includes all staffs of Islamic Azad university of Mashhad. Sample group includes 269 employees were selected randomly. The research instruments included professional ethics questionnaire (16 items) and knowledge management questionnaire (16 items). Data were analyzed using structural equation modeling and LISREL software.
Results: The results showed that professional ethics has a significant positive impact on knowledge management (r = 0.73) and results in particular showed that there is a positive and significant relationship between professional ethics (value attitude, a responsive attitude, a sense of partnership and ownership and confidentiality) and dimensions of knowledge management (knowledge acquisition, knowledge storage, knowledge development and knowledge application)
Conclusion: If employees have morale of accountability, protection of intellectual property of shared knowledge, sense of cooperation in information sharing and have value attitude toward establishing knowledge management, they can achieve the university goals and mission, while complying the principles of ethics and knowledge assets management.
 
Keywords: Professional ethics, Knowledge, Knowledge management
Full-Text [PDF 174 kb]   (1005 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/06/16 | Accepted: 2018/06/16 | Published: 2018/06/16


XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 1 (6-2018) Back to browse issues page