Investigating Factors for Knowledge Sharing Using Web Technologies

Abstract

Global knowledge has become a central issue for an organization"s survival. In the last few decades, Web technologies have become widely used for Knowledge Management; these are called Knowledge Management Systems (KMS). Recently, in Knowledge Management (KM) the effectiveness of knowledge sharing has been considered a significant component for KMS success. In the most universities the KM is often inadequate when it comes to knowledge sharing, especially between academics. In order to encourage knowledge sharing, it is important to know why/where/when academics choose to contribute or to receive shared knowledge. Therefore, the purpose of this research is to investigate the factors that affect an academics" behavior towards knowledge sharing by using technology. Knowledge Sharing Technology model (KST) is proposed model was constructed combining the affecting factors: these factors are a synthesis of factors which already exist in current theories, i.e. the Unified Theory of Acceptance and Use of Technology (UTAUT) and Social Exchange Model (SET), as well as other factors which are always explored independently in research studies The future work will focus on confirming the model.

The effects of reward systems and organizational structure on tacit knowledge sharing

“…experience, skills, capabilities, patents). This is because of the importance of knowledge, which is an intangible asset for the organization and is more important than tangible assets such as land, equipment, and capital (Civi, 2000;Zaim et al, 2007;Alotaibi et al, 2014;Galletta et al, 2003).…”

Knowledge management-related training strategies in Kingdom of Saudi Arabia construction industry: an empirical study

“…This is particularly important in the Saudi Arabian construction sector as the Saudi Arabian government is making large investments in its attempts to move towards becoming a knowledge-based society as highlighted in the visions of the Saudi Arabian National Policy Plan (Al Hussain et al, 2012). Alotaibi et al (2013) links this to large construction projects being carried out by Saudi private and public sectors to keep up with the current rapid growth of the Saudi economy. Specifically, with respect to the construction industry, Yu et al, (2013) highlighted the complexity associated with knowledge-intensive environments of the construction industry where cumulative identification of experiences and knowledge differs on a day-to-day bias across engineers, projects and companies.…”