Knowledge sharing impact factors selection for research supervision

Abstract

Due to the impact of globalization, universities increasingly face new challenges and opportunities. Accordingly, they ought to be more innovative. Therefore, knowledge-sharing between students and supervisors is vital in universities. This research aims to systematically analyse and extract all the knowledge-sharing impact factors and choose adaptable ones for a research supervision domain. We carried out a literature review of empirical studies on knowledge-sharing quantitative research, published during the last decade (2000–2012). We have recognized 29 primary studies related to the purpose of this research. After considering these studies, we discovered the following, namely that, the ability of students to share, the culture of the respective university, knowledge-sharing social networks, flexible structure and design, supervisor support, learning strategies and IT systems are adaptable. In addition, it was found that suitable knowledge-sharing factors are not only supported by knowledge management model for research supervision and other research supervision models, but also have enough iteration in literature studies to support them.