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October 2026 Journal Club: Dr. Nguyen Chi Đoan Hanh Presents Research on AI-Generated Job Advertisements

On the afternoon of October 26, 2026, the Faculty of Business Administration at Ton Duc Thang University held a Journal Club session attended by the Faculty’s leadership and academic staff. Dr. Nguyen Chi Đoan Hanh presented research examining how applicants and human resource professionals evaluate AI-generated job advertisements compared with those written by humans, offering insights into human resource management research.

Drawing on signaling theory, the study examines how job advertisements communicate information about job responsibilities, requirements, and organizational characteristics. Three experiments involving a total of 640 participants in Sweden and the United Kingdom compared existing, expert-rewritten, and ChatGPT-generated job advertisements for the same Junior Buyer position. Each participant viewed only one type of advertisement and was not informed of its source.

The two studies involving students found no statistzically significant differences in job attractiveness, perceived fit, application intentions, or informativeness. Similarly, the study involving human resource professionals found no statistically significant differences in attractiveness or informativeness across the three advertisement types. However, these findings do not establish equivalence among the advertisements or demonstrate that AI can eliminate recruitment bias.

One notable finding was that many human resource professionals remained cautious about using AI, despite experiencing difficulty identifying the source of the advertisements. The study therefore suggests that organizations may use AI to support the drafting of job advertisements, while reviewing their accuracy, language, and relevance to the position before publication.

The session concluded with a discussion among faculty members on the selection of study locations. The presentation helped connect research on applicant behavior with recruitment communication practices, while providing faculty members with further insights into research design.

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Discussion of research on the evaluation of AI-generated job advertisements from the perspectives of applicants and human resource professionals.

 

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