The Double-Edged Sword Effect of Algorithmic Decision Making on Employees'Justice Perception under Unfavorable Outcomes:An Attribution Theory Perspective
Algorithmic decision-making has gained prominence in businesses in the digital age,and its impact on employees'justice perception has drawn significant attention and intense discussion.Based on attribution theory and fairness theory,this study constructs a moderated dual-mediation model to explore the double-edged sword mechanism by which algorithmic decision-making affects employees'justice perception through perceived control and intentional attribution.This study also examines the moderating role that transparency plays in it.Two contextual experiments revealed that:(1)algorithmic decision-making has a significant positive effect on employees'justice perception when they are faced with unfavorable decision outcomes;(2)algorithmic decision-making inhibits employees'perception of fairness by decreasing perceived control,and also promotes employees'justice perception by decreasing intentional attributions;(3)transparency positively moderates the effect of the type of decision-makers on perceived control and negatively moderates the effect of the type of decision-makers on intentional attributions.This study enriches the understanding of the relationship between algorithmic decision-making and employees'perception,and provides practical insights into the rational adoption of digital technologies by organizations to accomplish managerial decision-making.
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