Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/28114
Title: A Proposed Model to Identify The Factors Affecting Knowledge Sharing in Sudanese Universities
Other Titles: نموذج مقترح لتحديد العوامل المؤثرة على مشاركة المعرفة في الجامعات السودانية
Authors: Mohammed, Samah Alsir Osman
Supervisor, -Nisreen Beshir Osman
Keywords: Computer Science and Information Technology
Proposed Model to Identify
Factors Affecting
Knowledge Sharing
Sudanese Universities
Issue Date: 22-Oct-2022
Publisher: Sudan University of Science & Technology
Citation: Mohammed, Samah Alsir Osman . A Proposed Model to Identify The Factors Affecting Knowledge Sharing in Sudanese Universities \ Samahalsir Osman Mohammed ; NisreenBeshir Osman .- Khartoum:Sudan University of Science & Technology,College of Computer Science and Information Technology,2022.-73 p.:ill.;28cm.-M.Sc.
Abstract: Knowledge is the most important resource in universities. Universities/Academic institutions are the places where thereis a great possibility of sharing knowledge more than any other organization. Knowledge sharing(KS) has become an important process to develop new knowledge and retain it in the organizations. It has been observed that academics in Sudanese universities do not share knowledge effectively. This research aims to investigate the factors the affect knowledge sharing in Sudanese universities and a proposed a model for these factors. A questionnaire was employed to collect data that investigateof the status of knowledge sharing in Sudanese universities. The collected data wasanalyzed. The results found that positive relation between KS and attitude and expected contribution, organizational Structure, while factors such as expected rewards , leadership support, information technology had negative relation between these factors and KS . This research will contribute to knowledge sharing among academicsin Sudanese universities
Description: Thesis
URI: https://repository.sustech.edu/handle/123456789/28114
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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