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Contact Name
Laila Siti Aminah
Contact Email
projurnalmitra@gmail.com
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+6281234566573
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Jalan Kebalen Wetan Nomor Kavling 1-2, Kelurahan Kotalama, Kecamatan Kedungkandang, Kota Malang, 65132, Malang, Provinsi Jawa Timur
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Kota malang,
Jawa timur
INDONESIA
International Journal of Psychology and Mental Health
ISSN : -     EISSN : 31238157     DOI : https://doi.org/10.66324/ijpmh
International Journal of Psychology and Mental Health (IJPMH) is an interdisciplinary publication dedicated to original research and scholarly works in the field of psychology and mental health. The journal aims to facilitate and promote the dissemination of knowledge and innovative findings to a global audience of researchers, practitioners, and policy makers. IJPMH provides a platform for critical discussion and advancement in studies, practices, and approaches that support holistic mental health, in line with the pressing global need for effective psychological health management. As a forum for scholarly research and discourse, the journal plays an important role in enriching academic understanding and the development of strategies that support mental well-being, innovative therapies, and interdisciplinary approaches to address contemporary psychological challenges. Journal scope includes: 1. Clinical Psychology 2. Counseling 3. Developmental Psychology 4. Experimental Psychology 5. Mental Health 6. Neuropsychology 7. Psychological Disorders 8. Psychopathology 9. Psychotherapy and Counseling 10. Social Psychology International Journal of Psychology and Mental Health (IJPMH) is published four times a year that is in February, May, August, and November of every year.
Articles 1 Documents
Search results for , issue "Vol. 1 No. 3 (2025): August" : 1 Documents clear
Algorithmic Anxiety and Its Implications for Work Stress and Professional Self-Esteem among Employees in the Digital Age Hidayat, Rahmat
International Journal of Psychology and Mental Health Vol. 1 No. 3 (2025): August
Publisher : CV Projurnal Mitra Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66324/ijpmh.v1i3.187

Abstract

The digital transformation driven by the Fourth Industrial Revolution has introduced algorithmic management, a paradigm where artificial intelligence systems actively supervise, evaluate, and direct employees, creating unique psychological challenges known as algorithmic anxiety. This study aims to analyze the influence of algorithmic anxiety on work stress and professional self-esteem among employees in the digital era. Utilizing a quantitative approach with a causal associative design, the research involved 250 employees in Padang, aged 18 to 35, who work under algorithmic management systems, selected via convenience sampling. Data were collected through the Algorithmic Anxiety Scale (AAS), an adapted Perceived Stress Scale (PSS-10), and an adapted Rosenberg Self-Esteem Scale (RSES), and subsequently analyzed using simple linear regression. The results indicate that algorithmic anxiety significantly influences both work stress and professional self-esteem. Algorithmic anxiety positively correlates with work stress, while showing a negative correlation with professional self-esteem, accounting for an 8.8% variance in these dependent variables. Algorithmic management serves as a substantial source of psychological pressure in the modern workplace. Organizations should implement transparent algorithmic systems and provide psychological support programs to mitigate the negative impact of algorithmic anxiety on employee well-being and professional confidence.

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