This paper complements the quantitative research of real estate agency in China. The main body of this study is the real estate agency in Shenzhen, trying to find the endogenous power to improve enterprise performance. Combined with the basic theory, expert interviews and the author's work experience, four variables were identified, namely: employee service ability and knowledge management are two independent variables, technological innovation is the intermediary variable, and enterprise performance is the dependent variable. Data were collected through questionnaires, and confirmatory factor analysis was performed by structural equation analysis (AMOS 26). In terms of the measurement model, the results show that the research dimensions of the four latent variables are valid. The "relationship ability" of employees' service ability is relatively the best, and the "response-ability" needs to be strengthened in brokerage institutions. In knowledge management, "knowledge sharing" is relatively the best, while "knowledge search" needs to be improved. In technological innovation, "market innovation" performs better on the whole, while "process innovation" is relatively weak. "Human performance is relatively good in enterprise performance, while financial performance still needs to be improved. The limitations of this study are: first, the vast majority of brokerage agencies are non listed companies, and the information of corporate performance is not open. Second, service capability, knowledge management and technological innovation are interdisciplinary concepts. The interdisciplinary concept is an opportunity and a challenge: it can see the limitations of its discipline and increase the value of dialogue and discussion with different fields. Third, this study did not consider individual factors (such as attitude), other situational factors (such as different leadership styles) and customer interaction factors. Fourth, collect static data. It also points out the direction for future research.
Keywords: real estate agency, employee service ability, knowledge management, technological innovation, enterprise performance.