Prediction of Knowledge Sharing Based on Personality Trait, Organizational Silence, and Organizational Belonging in Medical Staff in Qom Province (Iran)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Jamporazmey Maryam; Monirpour Nader

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Qom University of Medical Sciences Journal Year:2020 | Volume:14 | Issue:1 Page(s): 29-37

Download Full-Text

Persian Verion

View:

536

Download:

Cites:

Information Journal Paper

Title

Prediction of Knowledge Sharing Based on Personality Trait, Organizational Silence, and Organizational Belonging in Medical Staff in Qom Province (Iran)

Author(s)

Jamporazmey Maryam | Monirpour Nader | Issue Writer Certificate

Keywords

PersonalityQ1

Organizational silenceQ1

OrganizationsQ1

KnowledgeQ1

Medical StaffQ1

Abstract

Background and Objectives: In the present age, Knowledge has become a strategic resource for Organizations and societies, and the need for developing and mastering the ways of creating, sharing, and its application, is vital. In the meantime, successful Organizations are the ones that recognize the importance of what they know and try to gain Knowledge on what they do not know. The purpose of this study was to predict Knowledge sharing based on Personality traits, Organizational silence, and organizational affiliation in Medical Staff in Qom province. Methods: This study was performed as a descriptive correlational study. The statistical population consisted of all Medical Staff of Qom city, 350 of whom, were selected by convenience sampling method. In this study, the data were collected using Knowledge sharing questionnaires, Personality factors, Organizational silence, and organizational belonging. Data were analyzed using stepwise multiple regression analysis. Results: The results of data analysis using multiple regression analysis showed that Personality factors, including extraversion, openness, agreeableness, and conscience directly predicted and neuroticism inversely predicted Knowledge sharing. Moreover, supervisor attitude towards silence inversely predicted and organizational belonging directly predicted Knowledge sharing in Medical Staff in Qom city. Conclusion: Considering the prominent role of Personality factors, Organizational silence and organizational belonging are of great importance in predicting Knowledge sharing in the Medical Staff, maximizing the degree of adaptation between individual Personality traits, including dimensions of conscientiousness and Personality compatibility with the desired job and determining their job characteristics for productivity of the organization, and creating an environment, where Knowledge and information exchange are important, as well as increasing job independence in performing job duties, will be critical to the internalization development and the institutionalization of fascination and loyalty among the employees.

Cites

No record.

References

Cite

APA: Copy

Jamporazmey, Maryam, & Monirpour, Nader. (2020). Prediction of Knowledge Sharing Based on Personality Trait, Organizational Silence, and Organizational Belonging in Medical Staff in Qom Province (Iran). QOM UNIVERSITY OF MEDICAL SCIENCES JOURNAL, 14(1 ), 29-37. SID. https://sid.ir/paper/379549/en

Vancouver: Copy

Jamporazmey Maryam, Monirpour Nader. Prediction of Knowledge Sharing Based on Personality Trait, Organizational Silence, and Organizational Belonging in Medical Staff in Qom Province (Iran). QOM UNIVERSITY OF MEDICAL SCIENCES JOURNAL[Internet]. 2020;14(1 ):29-37. Available from: https://sid.ir/paper/379549/en

IEEE: Copy

Maryam Jamporazmey, and Nader Monirpour, “Prediction of Knowledge Sharing Based on Personality Trait, Organizational Silence, and Organizational Belonging in Medical Staff in Qom Province (Iran),” QOM UNIVERSITY OF MEDICAL SCIENCES JOURNAL, vol. 14, no. 1 , pp. 29–37, 2020, [Online]. Available: https://sid.ir/paper/379549/en

Related Journal Papers