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Ready-to-Use or Empty Shell? The Impact of Generative AI on Probationary Performance Evaluation Criteria for Newcomers (105909)

Session Information:

Saturday, 9 May 2026 15:45
Session: Poster Session
Room: Hall B5 Foyer
Presentation Type: Poster Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

The widespread adoption of Generative AI disrupts the traditional function of the probation period as a mechanism for verifying basic skills. While newcomers can utilize AI to demonstrate high performance rapidly, this often masks foundational skill deficiencies, creating an "empty shell" risk. Consequently, managers face an attribution dilemma, struggling to distinguish between genuine employee competence and "tool-driven dividends." Adopting a qualitative approach, this study conducted in-depth interviews with eight managers overseeing fresh graduates. The findings reveal that managers experience "Competency Verification Failure" anxiety. In response, they adopt "defensive evaluation strategies"—such as offline testing—shifting the assessment focus from "output quality" to "reasoning logic." The study suggests that Human Resources must redesign probation assessments to evaluate how work is done rather than merely what is produced, effectively distinguishing between tool dependency and core cognitive competencies within the competency model.

Authors:
Kai-Hsiang Chang, Nation Quemoy University, Taiwan
Wei Hsiang Su, National Quemoy University, Taiwan
Chih Yun Hao, National Quemoy University, Taiwan


About the Presenter(s)
Chang Kai-Hsiang, Master’s student (Business Administration), National Quemoy University.

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Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00