The Construction and Application of Data-Driven Evaluation System of Scientific Research Achievements in Regional Private Universities – A Case Study of Nanning University

Abstract

With the rapid development of higher education in China, private universities have become an important part of the higher education system. However, there are many problems with their scientific research performance evaluation system, such as insufficient scientific research input, inadequate incentive policies, and an imperfect evaluation system, making the evaluation of scientific research performance face many challenges.
The objective of this study were: 1) to explore the current situation of the scientific research input, output, and impact at Nanning University, and the inherent laws of its own scientific research development; 2) to provide recommendations for the scientific research input, output, and impact of Nanning University.
This study adopted quantitative research methodology, and a questionnaire survey was conducted to verify the rationality of the current scientific research evaluation system, the fairness of the evaluation process, and the application effect of the evaluation results.
The study found that the number of master’s and doctoral personnel has increased by 105% over the past five years, and the total amount of research funding has increased by 325.66%. The continuous input in scientific research has promoted the vigorous development of output and brought about a continuous rise in the scientific research impact. For every 1 unit increase in input, the output increases by 0.85 units and the impact increases by 0.92 units. 95.92% of the respondents believe that the research evaluation system of Nanning University is in line with its positioning as a “private applied university”, and its evaluation criteria are consistent with the university’s development goals.
This study proposes three suggestions based on this analysis. Firstly, increase input in scientific research, optimize fund allocation, and attach importance to talent cultivation. Secondly, reform the evaluation system, focus on quality and influence, and introduce dynamic and international evaluations. Thirdly, promote the enhancement of scientific research impact, strengthen academic exchanges, achievement transformation, and student participation in scientific research. This study provides new insight for evaluating the research performance of private universities and helps to promote regional education development and enhance innovation capabilities.

Keywords: data-driven evaluation, scientific research input, scientific research output, scientific research impact, private universities.

6617195714 Chen Yunsheng, 2568 (2025). Advisor: ดร.จิดาภา ชลธารรัตนพงศ์ – Dr. Jidapa Chollathanrattanapong, สารนิพนธ์ (Independent Study), The Construction and Application of Data-driven Evaluation System of Scientific Research Achievements in Regional Private Universities – A Case Study of Nanning University, นำเสนอในที่ประชุมวิชาการ (Conference), The 17th National and International Academic Conference 2024, ปริญญาโท (Master’s Degree), บัณฑิตวิทยาลัย (Graduate School), Master of Business Administration, Education Management, Siam University, Bangkok, Thailand – มหาวิทยาลัยสยาม กรุงเทพมหานคร ประเทศไทย