questionaire

With massive amounts of data have been generated, the Chief Data Officer (CDO) was introduced into government around the world. Previous studies on the CDO were limited and mainly focused on responsibilities of the CDO. But there has been little empirical research on the determinant factors of CDO adoption in government. To fill this gap, based on the topic model, this study aims to investigate factors that affect adoption of the CDO in government. A survey study was conducted to empirically test the model. The data were collected from 277 government employees in China government organizations. The collected data were analyzed quantitatively to answer five hypotheses using structural equation model. The findings suggest that (1) data exploitation, data sharing and data management significantly influence data dividends and (2) Data dividends and institutional pressures are important predictors of adoption intention of the CDO. These results indicate that digital dividends representing economic interests have a more motivating effect than institutional pressures, and emphasize the importance of data related work for data dividends.