Exploring the Integrated Transformation of Intelligence and Efficiency in Public Sector Human Resource Management from a Big Data Perspective

Abstract

With the rapid development of big data and artificial intelligence, both our working methods and ways of thinking are undergoing profound transformations. The swift advancement of technology also brings continuous changes and challenges to the public sector. In the current social context, fully leveraging digital resources and intelligent technologies to enhance the efficiency of the public sector requires a comprehensive reflection on organizational strategy, technology, and human resources, thereby facilitating an orderly digital transformation. This article starts by addressing the dilemmas faced by traditional public sector human resource management and proposes corresponding countermeasure models at three levels, covering multiple dimensions such as talent, business operations, performance, and compensation. The research focuses on four key aspects: transforming goal-oriented performance management, conducting comprehensive talent inventories, enabling forward-looking business insights, and achieving precise talent identification. Through innovations in management mechanisms, the study aims to promote and support the overall objectives of the public sector, emphasizing the effective integration and deep alignment of organizational goals with talent development. On this basis, the article proposes an "intelligence-efficiency integration" approach, which seeks to achieve precise digital matching between the business attributes and talent attributes of the public sector.