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This study examines how perceived organizational justice mediates the relationship between talent management (TM) and non-high potential employees (NHPE) outcomes (i.e. affective commitment, job satisfaction, and the intention to leave) in the public sector, thereby clarifying the underlying mechanisms.

The authors conducted a causal mediation analysis of the findings of a scenario-based survey with 748 public-sector NHPEs by adopting a post-test experimental design.

Perceived distributive justice and perceived procedural justice mediated the relationships among equal resource distribution/TM procedures and NHPE outcomes, respectively.

This study extends and clarifies the argument for fairness judgments based on the gap in resource allocation and the presence or absence of the six rules of procedural justice that affect the attitudes and behaviors of NHPEs, who are generally more affected by TM but underexplored, in the public sector in which NHPEs are considered to be more sensitive to TM due to the egalitarian culture of public sector.

This study aims to provide empirical evidence on the impact of different appraisal methods for internal talent selection in talent management practices on non-high potentials' (NHPs) outcomes, including organizational commitment, job satisfaction and intention to leave, drawing on the attribution theory. Furthermore, it examines the moderation of public service motivation (PSM) on this relationship.

The authors conducted a scenario-based survey with a post-test experimental design to analyze the survey result using a sample of 245 NHPs from a public sector organization in Indonesia.

The appraisal methods affect NHPs' outcomes partially and in an unexpected way. Specifically, the “controllability” of talent selection measurement is not the primary driver in NHPs achieving expected outcomes, though it has been emphasized in the recent literature. PSM partially moderates the relationship between appraisal methods and NHPs' outcomes.

This study advanced the attribution theory by suggesting the “appropriateness” dimension unexplored in the literature, based on the unexpected results of the main relationship.