Digital Profiling of University Faculty: Construction, Application and Practice in Finance-Oriented Higher Education Institutions

Abstract

Against the backdrop of the deepening digital transformation of education, faculty digital profiling has emerged as a core mechanism supporting the intelligent and precision-driven development of university teaching staff management. Taking finance-oriented higher education institutions as the primary research context, this paper addresses the new demands of educational development in the digital-intelligence era and the practical pain points of university faculty management. It systematically examines the conceptual logic, implementation pathways, and safeguard mechanisms underpinning the construction of faculty digital profiles. By analyzing four principal challenges—data integration, indicator alignment, privacy protection, and scenario-based application—the paper proposes a set of targeted solutions: establishing cross-departmental data collaboration mechanisms, building a tiered and categorized indicator framework, deepening scenario-based application, and reinforcing the privacy and security baseline. Four corresponding institutional safeguards—organizational, progress management, financial, and evaluative—are also delineated. The findings demonstrate that a scientifically constructed faculty digital profile can simultaneously empower individual teacher development and align with institutional strategic planning, thereby providing a robust human resource foundation for building world-class universities with Chinese characteristics and carrying significant practical value for advancing the high-quality development of higher education.