Purpose: In recent years, due to the increasingly prominent role of voice behavior in leader decision-making and organizational performance, such behavior has become a central topic for scholars. A majority of studies explore the “uphold” effects of multiple leader behavior toward the voice behavior; nonetheless, our study revealed the “undo” effect --- leader hypocrisy on voice behavior. Drawing on social cognitive theory, we investigated the relationship between leader hypocrisy and voice behavior, examined the mediating effects of cognition-based trust and affect-based trust, and the moderating effect of moral identity. Patients and Methods: We conducted a three-wave survey in a large Chinese corporation to test the hypothesized model. We collected 562 employees to participate in this survey. Results: The results show that leader hypocrisy negatively impacts employees’ cognition-based and affect-based trust, and both types of trust mediate the relationship between leader hypocrisy and voice behavior, respectively. In the meantime, moral identity manifested the negative effect of leader hypocrisy on cognition-based and affect-based trust. Conclusion: Our research not only enriches the related research on leader hypocrisy and voice behavior but also uncovers the underlying mechanism through which leader hypocrisy affects voice behavior and the boundary conditions of this effect. Meanwhile, our research provides a theoretical reference for increasing employees’ voice behavior and promoting the healthy development of enterprises.

Employees’ voice is an important source of organizational learning and adaptive change. As algorithmic management is increasingly applied across organizational management processes, an urgent practical question arises: Does it affect employees’ participation in organizational improvement through voice? To address this challenge, drawing on signaling theory, this study examines the differential effects of distinct dimensions of algorithmic management on voice, while also considering work locus of control as a key moderating variable. We collected one-to-one matched data from 351 employees and their supervisors in a large Chinese platform-based enterprise. We tested the hypothesized theoretical model using structural equation modeling and bootstrapping procedures. The results show that algorithmic feedback enhances employees’ felt responsibility for constructive change, which in turn promotes employees’ voice. In contrast, algorithmic directing, algorithmic scheduling, and algorithmic monitoring undermine employees’ felt responsibility for constructive change and thereby inhibit voice. In addition, work locus of control moderates these relationships: employees with an external work locus of control strengthen the negative effects of algorithmic directing, algorithmic scheduling, and algorithmic monitoring, whereas employees with an internal work locus of control strengthen the positive effect of algorithmic feedback. These findings deepen our understanding of how different dimensions of algorithmic management shape voice and offer practical insights for fostering voice in contexts characterized by algorithmic management.