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All Journal Management Studies and Business Journal
Tarigan, Frandy Putra Perdamen
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Mental Health Support Strategies in the Workplace : Assessing Their Impact on Employee Well-being and Productivity Rismayanto, Heri; Utomo, Juniarto Dwi; Perdana, Janatika Putra; Tarigan, Frandy Putra Perdamen; Kasmin, Kasmin
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 9 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/rf159c62

Abstract

Mental health in the workplace is increasingly becoming a major concern for organizations, especially in the context of employee resilience and organizational loyalty. This research aims to explore the influence of personalized mental health support strategies on employee resilience and organizational loyalty. Using a systematic literature review approach, this study analyzes relevant literature and finds that tailored support significantly increases employee resilience, which has a positive impact on organizational loyalty. These findings provide important implications for human resource management practices, encouraging organizations to adopt a more personalized approach to mental health support.
The Role of AI in Enhancing HRM Practices A Comparative Study Across Industries Wibowo, Eko Putro; Avian, Zakhi Bailatul Nur; Tarigan, Frandy Putra Perdamen; Erlangga, Irwan Syah; Soenanta, Andy
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 9 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/yqwrzp72

Abstract

Application of artificial intelligence (AI) in Human Resource Management (HRM) is increasingly important in various industries to increase employee engagement and productivity. However, the impact of AI in HRM varies based on the specific characteristics of each industry, such as technology, manufacturing, services, and healthcare, demanding a targeted approach. This research aims to provide a comprehensive analysis of the role of AI in increasing employee engagement and productivity through a systematic literature review that examines research methods, industry distribution, and contextual factors that influence the effectiveness of AI in HRM. Using PRISMA methodology, a number of studies that met the inclusion and exclusion criteria were selected for analysis. The research results show that AI has a positive impact on employee engagement and productivity, but the impact varies across industries, influenced by organizational culture, skills requirements, and ethical and legal regulations. These findings provide guidance for HRM practitioners in effectively adopting AI according to the unique needs of each sector.
Co-Authors Avian, Zakhi Bailatul Nur Erlangga, Irwan Syah Kasmin, Kasmin Perdana, Janatika Putra Rismayanto, Heri Soenanta, Andy Utomo, Juniarto Dwi Wibowo, Eko Putro