Abstract The paper aims to highlight the value that social computing can bring to Knowledge Management mainly its knowledge sharing process. The research is based on a systematics study of literature. Literature was examinedto provide an understanding what social computing can offer to knowledge sharing. Knowledge management (KM) was in full swing up to mid-90s. But due to globalisation and the increasing use of... The paper aims to highlight the value that social computing can bring to Knowledge Management mainly its knowledge sharing process. The research is based on a systematics study of literature. Literature was examinedto provide an understanding what social computing can offer to knowledge sharing. Knowledge management (KM) was in full swing up to mid-90s. But due to globalisation and the increasing use of the Internet it has a period where practitioners and research community were less interested in KM. Traditional KM approaches could not solve efficiently the challenges of the 21st century organisations. KM practitioners and researchers were slow in recognising and providing new methodologies based on new developments in technologies. The lack of new methodologies impeded the value and importance of KM in organisations. Social computing is an emerging filed and its principles are in align with the theories of KM. The research has attempted to provide a link between KM and social computing. The research has pointed out where in KM the tools of social computing can be utilised. Read More Read Less

Abstract This study presents a new selecting method of customer relationship management for Small and Medium Enterprises based on group analytic hierarchy process and fuzzy comprehensive evaluation. The method uses a group analytic hierarchy process to get the target’s weight, and evaluate the importance of the schemes by the fuzzy comprehensive evaluation method. It not only embodies the decision maker’s subjective intent, but also... This study presents a new selecting method of customer relationship management for Small and Medium Enterprises based on group analytic hierarchy process and fuzzy comprehensive evaluation. The method uses a group analytic hierarchy process to get the target’s weight, and evaluate the importance of the schemes by the fuzzy comprehensive evaluation method. It not only embodies the decision maker’s subjective intent, but also reflects the objectivity of the information. It is a conceptual and strategic breakthrough about the customer relationship management selection for small and medium enterprises. Read More Read Less

Abstract To improve the parallel efficiency in dynamic systems, a dynamic load balancing method with a prediction and dynamic feedback was developed. The feedback is varied dynamically by using a period and processing capability prediction algorithm combined with a dynamic programming algorithm for task redistribution. This algorithm showed significantly better adaptability and scalability compared to one that employs a static period feedback.... To improve the parallel efficiency in dynamic systems, a dynamic load balancing method with a prediction and dynamic feedback was developed. The feedback is varied dynamically by using a period and processing capability prediction algorithm combined with a dynamic programming algorithm for task redistribution. This algorithm showed significantly better adaptability and scalability compared to one that employs a static period feedback. Read More Read Less