Using Baidu Index to Investigate the Spatiotemporal Characteristics of Knowledge Management in China

Abstract

The relevance of the article explained by the fact that knowledge economy calls for knowledge management, and modern knowledge management is a new type of management that emerged in the days of the knowledge economy. The purpose of this paper is to investigate spatiotemporal characteristics of public attention towards knowledge management in China. The leading research methods were analysis, synthesis, comparison, deduction, and induction. This study uses Baidu index to analyse the spatiotemporal characteristics of the public's attention to knowledge management. It was noted that the trend of finding “knowledge management” for the last 11 years peaked at the end of 2016, and the decrease appeared around National Day each year. It was stated that the groups concerned about “knowledge management” are mainly distributed in Guangdong, Beijing, and Shanghai. The factors that affect the changes in the search volume of “knowledge management” include the traditional Chinese holidays, the Spring Festival, the National Day, and the release of knowledge management-related norms. In addition, the study found similar search trends for “knowledge management” and “knowledge management system”. It was concluded that the knowledge management systems are used only when the amount and complexity of knowledge accumulation within an organisation reaches a certain level