Gatekeepers Practices in Knowledge Diffusion within Saudi Organizations: KFMC Case Study
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 4
Abstract
Gatekeepers in organizations play a critical role in terms of disseminating and transferring outside knowledge into their groups. This research contributes in identifying the gatekeepers' practices in terms of gathering, selecting, and diffusing knowledge. In the context of Saudi organizations, the exploratory case selected in this research is King Fahad Medical City (KFMC). This research is conducted on Health Informatics and Information Technology employees. A mixed-method design is applied on this research to provide a deep understanding of knowledge interactions structure and the process of knowledge interactions across the organization network. Both methods; questionnaires and interviews are conducted in order to investigate the context. Social Network Analysis method is also used in this research to capture the "brokerage" network structure position using Flow Betweenness Centrality algorithm. The findings reveal that gatekeepers use different knowledge sharing mechanisms which are: information retrieval, information pooling, pushing, diffusion, collaborative problem solving, and thinking along. In addition, the results present the distinct methods and technologies used by the gatekeepers to collect and share their knowledge with others. The findings of this research help managerial decision makers and strategic managers among start-up organizations and also well-structured organizations to provide valuable insights and decisions in terms of policies, strategies, and the appropriate collaborative tools that foster collaborative working.
Authors and Affiliations
Mona Alawadh, Abdullah Altameem
Online Incremental Rough Set Learning in Intelligent Traffic System
In the last few years, vehicle to vehicle communication (V2V) technology has been developed to improve the efficiency of traffic communication and road accident avoidance. In this paper, we have proposed a model for onli...
A Survey on Content-based Image Retrieval
The widespread of smart devices along with the exponential growth of virtual societies yield big digital image databases. These databases can be counter-productive if they are not coupled with efficient Content-Based Ima...
Word-Based Grammars for PPM
The Prediction by Partial Matching (PPM) compression algorithm is considered one of the most efficient methods for compressing natural language text. Despite the advances of the PPM method for the English language to pre...
Optimum Route Selection for Vehicle Navigation
The objective of Optimum Route Selection for Vehicle Navigation System (ORSVNS) article is to develop a system, which provides information about real time alternate routes to the drivers and also helps in selecting the o...
Common Radio Resource Management Algorithms in Heterogeneous Wireless Networks with KPI Analysis
The rapid increase of number of personal wireless communication equipped devices boosts the user service demands on wireless networks. Thus, the spectrum resource management in such networks becomes an important topic in...