肯尼亚公立和私立大学学术人员对机构知识库知识共享的看法

Lynette Wambui Njogu, Caroline Mutwiri
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摘要

大学已经建立了学术人员可以分享他们通过研究产生和获得的知识的平台。这些平台被称为机构或数字存储库。然而,对大多数知识库的检查表明,一些院系的学术人员比其他院系存放了更多的研究成果。因此,本研究试图在选定的公立和私立大学中建立学术人员对通过机构知识库进行知识共享的看法。本研究采用Cheng等人的知识共享模型。2009年开发。研究方法采用描述性研究设计。研究地点包括恩布大学和圣保罗大学。所选大学的目标人口为75人。根据Krejcie和Morgan量表,样本量为59。问卷是收集数据的主要工具。定性数据采用主题分析,定量数据采用描述性统计,包括百分比、频率、饼图、表格和图形。严格遵守后勤和道德方面的考虑。研究结果表明:学术人员对KS的认知是积极的,但自我存档尚未被相当一部分学术人员所接受。该研究建议对学术人员进行培训,使其能够将其研究成果自我存档。
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Perception of Academic Staff on Knowledge Sharing Through Institutional Repositories in Public and Private Universities in Kenya
Universities have established platforms through which their academic staff can share knowledge they have generated and acquired through research. These platforms are known as institutional or digital repositories. However, an examination of most repositories shows that academic staffs in some faculties have deposited more research findings than other faculties. Therefore, this study sought to establish the perception of academic staff towards knowledge sharing through institutional repositories in selected public and private universities. The study utilized the Knowledge-Sharing model by Cheng et.al. developed in 2009. The research method adopted was the descriptive research design. The study location for the research included the University of Embu and St Paul’s University. The target population in the selected universities was 75. The sample size was 59 as determined by Krejcie and Morgan scales. The questionnaire was the main tool for collecting data. Qualitative data was analyzed thematically while Quantitative data was analyzed using descriptive statistics presented through percentages, frequencies, pie charts, tables and graphs. Logistical and ethical considerations were strictly adhered to. The study findings were as follows: the academic staffs have a positive perception towards KS, self-archiving is yet to be embraced by a significant number of academic staff. The study recommended that academic staff to be trained on self-archiving of their research outputs in IRs.
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