Han, QiweiWegener, Wiebke2022-10-252025-12-172022-01-212021-12-17http://hdl.handle.net/10362/144991In an increasingly fierce competition to attract and retain talent, engaging in ESG activities can become a competitive advantage to attract potential employees. This study applies a mixed-method approach that combines data analytics and machine learning on ESG data with a qualitative analysis to discover how ESG factors influence employer attractiveness. The findings reveal a small but significant relationship between ESG and employer attractiveness, particularly for environmental and social aspects. As some relevant factorsare not holistically included in the ESG dataset, employer attractiveness cannot be predicted reliably based on ESG data alone.engMachine learningBusiness and data analyticsEsgEsg ratingsRefinitivEmployer attractivenessmaster thesis203063902