Digital Transformation and Practical Exploration of Employment Guidance Service System in Finance and Economics Colleges under the Background of "Smart Employment"

Abstract

Under the background of the Smart Employment initiative, career guidance service systems in finance and economics colleges face an urgent need for systematic digital transformation. Traditional employment guidance models, which rely heavily on fragmented offline counseling and static information release, have proven inadequate for addressing students’ evolving needs and the dynamics of contemporary labor markets. This study investigates the current operation of employment guidance service systems in finance and economics institutions, identifying key problems such as dispersed service channels, weak data integration, supply–demand mismatches, and limited feedback on employment quality. On this basis, the paper proposes a set of digital transformation strategies, including the construction of integrated smart service platforms that unify information, consultation, and decision support; the implementation of data-driven career education models that leverage big data for personalized guidance; and the deepening of digital industry–academia collaboration to align talent cultivation with market demand. Furthermore, the study emphasizes building interdisciplinary guidance teams with combined expertise in education, information technology, and labor economics, as well as establishing continuous employment quality tracking and evaluation mechanisms. These measures aim to enhance the efficiency, precision, and intelligence of employment services, strengthen students’ career planning capabilities and employability, and ultimately promote high-quality, sustainable employment outcomes in finance and economics colleges.