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Though it had earlier antecedents, the concept of Knowledge Management (KM), as we now know it, evolved as a concept in the late 1980s. The term originated in the consulting community. It arose from the merger of two factors: the recognition of the importance to an organisation of its information and knowledge assets, and from the emergence of the Internet and the almost immediate recognition of the utility of the Internet as an information and knowledge sharing tool, particularly for geographically dispersed organisations. KM has gone through four stages:

(1) An emphasis upon the new technology and upon the development of "best practices" or "lessons learned".

(2) An increased recognition of human and cultural factors, and upon the development of "communities of practice" to facilitate the sharing of information.

(3) An increased recognition of the importance of designing the systems for retrievability, and the importance of data design and structure, including taxonomy development and utilisation.

(4) An emphasis upon extending KM systems beyond the parent organisation to include, for example, vendors and suppliers, customers, users, alumni, etc.

KM has exhibited remarkable staying power and growth in a fashion that is dramatically different from all other business enthusiasms of the late 20th century.

An ever-accelerating rate of growth is altering the pace of change and making global organisations perform trade-offs in terms of organisational capabilities and quality of output. This paper reports on the empirical findings of a case study conducted at one of the world's largest software organisations and analyses the implications of rapid growth within global organisations. The paper further correlates the findings with the problems and issues confronting the world's largest automobile manufacturer, and establishes that growth needs to be planned to allow organisational capabilities and systems to support rapid expansion. Overall, the research highlights the important lessons learnt from accelerated growth within global organisations, and identifies the areas of future research required to gain a better understanding of the phenomenon.

In the knowledge-based economy, there is a growing realisation among policy makers that knowledge assets, besides the tangible assets of financial capital and local infrastructure, are the prime creators of wealth. Given the developmental challenges facing South Africa and contemporary global societies, it is clear that Knowledge Management (KM) should not only be seen as a tool for organisational effectiveness, but also as a developmental strategy for nations and societies. As South Africa is developing policies and strategies to overcome its developmental challenges and also to remain competitive in the new global knowledge-based economy, the question that ought to be answered is: To what extend does research on KM address developmental issues in South Africa? This paper adopts a quantitative approach using bibliometric analysis to investigate the extent of research on KM on developmental targets in South Africa. A bibliometric study was conducted using four EBSCO-hosted databases to extract relevant data. It was noted that there has been continued growth in the number of KM publications in South Africa focusing on a variety of subject areas; limited researcher attention has been paid to KM for development (KM4D) and most of the research on KM4D addresses quality education and infrastructure, unemployment and economic growth. The study advocates for the need for academic institutions and research organisations to devote considerable attention to research that enhances the application and integration of the effectiveness of KM in South Africa's development as the country strives to achieve its development goals.

E-government has become an important direction for the development of our government. Measuring national and regional e-government development indicators can help government agencies better understand the actual situation of e-government. This paper is based on E-government Development Index, including the Online Services Index (OSI), Telecommunications Infrastructure Index (TII) and Human Capital Index (HCI). The development of e-government in Guilin is evaluated by using the methods of index change analysis and comparative analysis. The relevant data of this paper come from Guangxi Statistical Yearbook, Guilin Economic and Social Statistical Yearbook and the official website of Guilin Bureau of Statistics. From the study of Guilin e-government data, we judged that Guilin e-government is in the trend of rapid development and comprehensive and coordinated development. Through its development trend, we can judge that in the future, Guilin e-government will continue to develop, but at the same time, if we do not deal with the relationship between development speed and development content, it will also bring great trouble to Guilin e-government. Therefore, we put forward the following development suggestions: (1) Guilin e-government should strengthen technological innovation and development, and create an intelligent e-government platform. (2) Guilin e-government will make government services more targeted and build a service platform for special groups. (3) Guilin e-government should formulate e-government policies and improve institutional innovation.