A Comparative Study on Fully Automated Recruitment Communication and AI-Assisted Human Recruitment Communication Using Mixed-Method Analysis

The increasing adoption of Artificial Intelligence (AI) in recruitment has transformed communication processes between organizations and candidates. This study compares fully automated recruitment communication and AI-assisted human communication to evaluate their impact on candidate experience. A total of 132 student respondents were surveyed using a structured questionnaire. Quantitative analysis was conducted using SPSS and SmartPLS, while visualization was supported using Minitab. Additionally, qualitative insights were obtained through thematic analysis and netnography. The results indicate that AI-assisted human communication (Mean = 4.13) is preferred over fully automated communication (Mean = 3.97). Correlation analysis revealed a significant relationship between the two scenarios (r = 0.657, p < 0.001). Structural model results from SmartPLS show that both models influence candidate experience, with the hybrid model having a stronger effect. Thematic analysis, conducted using Excel-based