Digital Intelligence-Driven Optimization of Administrative Efficiency: A Case Study of University Party and Government Office

Abstract

In the era of digital intelligence, the digital transformation of university governance has become inevitable. As the administrative hub of secondary colleges, the Party and Government Office undertakes critical responsibilities, including policy implementation, document management, conference coordination, and overall administrative integration. Its operational efficiency plays a pivotal role in shaping institutional governance capacity and promoting high-quality development. Taking the Party and Government Office of the Faculty of Mechanical Engineering at Qilu University of Technology as a case study, this paper examines its functional roles and analyzes key challenges, including inefficient workflows, fragmented information systems, limited intelligent applications, and insufficient digital competencies among staff. To address these issues, the study proposes an integrated optimization framework that emphasizes platform development, process reengineering, data governance, intelligent application, and team capacity building. This framework aims to facilitate the transition from manual operations to digitally enabled management, enhance decision-support capabilities, and promote proactive service delivery.