Exploring the Performance of Selected Double First-Class Universities in China by Using IPO Model

Ying Xia, Dian-Fu Chang
2020 Innovative Computing Information and Control Express Letters, Part B: Applications  
The study aims to tackle institute performance and its impact factors related to the double first-class universities in China. To achieve this purpose, this study develops an IPO (input, process and outcome) indictor system to collect data and build test models. There are 10 critical indicators in the proposal model which consists of input, process and output dimensions. This study conducted cluster analysis and regression analysis to disclose the data set. The findings reveal there are three
more » ... gnificant groups in the selected double-first class universities. The regression models suggest numbers of senior professors and sufficient budget are crucial factors to interpret the output among these universities. The findings may provide useful information for related policy makers.
doi:10.24507/icicelb.11.02.137 fatcat:ouzbuwyadjbi3eylhzxjfunxm4