Work

Algorithmic Management, Technostress, and Employee Mental Health in West Java

Year: 2026

Type: article

Abstract: This study examines the effect of algorithmic management on employee mental health and the mediating role of technostress, viewing artificial intelligence (AI) as a double-edged sword in the workplace. Data were collected through an online questionnaire from 300 employees in West Java, Indonesia, who had used algorithm-based work systems for at least three months and were selected through purposive sampling. The data were analyzed with partial least squares structural equation modeling (PLS-SEM) in SmartPLS 4.1. The structural model shows that algorithmic management has a significant direct effect on employee mental health and a strong effect on technostress, while technostress significantly affects mental health. The indirect effect through technostress is significant and accounts for about 61% of the total effect, indicating partial mediation. The model explains 78.3% of the variance in mental health and 64.7% of the variance in technostress. The findings show that algorithmic management can raise efficiency but also generates technostress that shapes employees' psychological condition. Organizations should combine AI-based control with human oversight, digital well-being policies, and technostress training. Keywords: Algorithmic Management; Technostress; Employee Mental Health; Artificial Intelligence; Mediating Effect

Source: JURISMA Jurnal Riset Bisnis & Manajemen

Authors: Mari Maryati, Rita Sari Puspita, Imanuel Eko Anggun Sugiyono, Rahma Wahdiniwaty, Deden Abdul Wahab Sya'roni

Institution: Universitas Komputer Indonesia

Topic: Technostress in Professional Settings

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Decent work and economic growth, Good health and well-being

Open Access status: diamond

OpenAlex ID: W7220918725

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