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All Journal Prosperia: Journal of Economic Development, Accounting, and Global Markets
Mohammad Fauzan Nawawi
Universitas Raharja

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The Use of Digital Data and Artificial Intelligence in Recruitment: An Analysis of Business Candidates’ Perceptions of Organizational Attractiveness Haryanto Haryanto; Najmuddin Najmuddin; Mohammad Fauzan Nawawi; Andri Cahyo Purnomo; Memed Saputra
Prosperia: Journal of Economic Development, Accounting, and Global Markets Vol. 1 No. 3 (2026): : August: Prosperia: Journal of Economic Development, Accounting, and Global Ma
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/0b6erk57

Abstract

This study examines the causal relationships between artificial intelligence implementation, digital data sourcing practices, and candidates' perceptions of organizational attractiveness within the contemporary talent acquisition landscape. Adopting a rigorous empirical research design, a scenario based vignette survey experiment was conducted with a sample of 413 final year undergraduate university students in major Indonesian metropolitan areas. The econometric analyses, executed using paired Student's t-tests, reveal that increasing automation levels enhances corporate innovation signals but severely reduces perceived social environment viability and applicant intentions to apply. Furthermore, the utilization of personal online digital data significantly damages procedural fairness evaluations compared to professional tracking frameworks. Individual technology trust serves as a critical moderating variable, determining the magnitude of intention shifts among prospective business and engineering applicants. These findings suggest that organizations must strategically balance automated processing efficiency with candidate privacy boundaries to protect employer brand value. Navigating this sociotechnical dynamic allows recruiting organizations to leverage predictive talent analytics while maintaining high organizational attractiveness for top tier talent.    
Co-Authors Andri Cahyo Purnomo Haryanto Haryanto Memed Saputra Najmuddin Najmuddin