Key Factors of Knowledge Base Adoption in Chinese Local Governments: Based on a Third‐Tier City

Abstract

This research seeks to identify critical factors that have an impact on government knowledge base adoption, which is based on the local government of Yi Chang, a typical third‐tier city in China. Firstly, the knowledge base and its development in Chinese local governments are introduced. Secondly, to build the adoption model, factors from the UTAUT and TOE framework were integrated and trust to knowledge base and intention to knowledge reuse are introduced. Thirdly, a questionnaire is designed based on the model and distributed to civil servants from Yi Chang local government. Finally, the proposed model is validated, and the collected data is analyzed by PLS‐SEM. The results show the factors (effort expectancy, social influence, competitive pressure, trust to knowledge base, intention to knowledge reuse) have a positive impact on the adoption of knowledge base in Chinese local governments.