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AI & HR Integration in Industry 4.0: A Multidisciplinary Literature Review Abd. Rasyid Syamsuri; Rifki Arohman; Adila Fitrisari; Rofi Gemaladi Hibatullah
Journal of Global Islamic Economic Studies Vol. 3 No. 2 (2025): Journal of Global Islamic Economic Studies (INPRESS)
Publisher : Penerbit Merdeka Kreasi

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This study investigates the integration of artificial intelligence into human resource management within the context of Industry 4.0, focusing on its transformative role, challenges, and strategic implications. The primary objective is to explore how AI technologies influence recruitment, employee development, performance management, and organizational sustainability while addressing ethical and operational concerns. Using a literature review method, the research synthesizes insights from peer-reviewed journals, academic books, and reports published within the last five years, selected based on relevance, methodological rigor, and contribution to the discourse on AI-driven HRM. The findings reveal that AI enhances predictive capabilities in talent retention, enables personalized training pathways, and improves decision-making accuracy, yet it also introduces risks related to algorithmic bias, transparency, and employee resistance. The analysis emphasizes that successful AI adoption requires a hybrid approach that combines technological precision with human judgment, supported by robust governance frameworks and alignment with organizational culture. These results underscore the importance of adopting a multidisciplinary perspective to guide future research and practice, ensuring that AI integration in HRM contributes to sustainable, ethical, and human-centered organizational transformation in the era of Industry 4.0.

AI, Wage Dynamics, and Work-Life Balance in the E-Commerce Industry: A Literature Review Rifki Arohman; Abd. Rasyid Syamsuri; M. Renaldy Saputra; Rofi Gemaladi Hibatullah
Journal of Global Islamic Economic Studies Vol. 3 No. 1 (2025): Journal of Global Islamic Economic Studies (INPRESS)
Publisher : Penerbit Merdeka Kreasi

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This study aims to explore the intersections of artificial intelligence, wage dynamics, and work-life balance in the context of the e-commerce industry, with particular attention to how digital transformation reshapes human resource management practices. Using a literature review method, the research systematically analyzed peer-reviewed journal articles, academic books, and reputable reports published in the last five years, focusing on themes related to algorithmic management, compensation structures, and employee well-being. The findings highlight that AI contributes significantly to wage optimization, predictive workforce planning, and performance evaluation, thereby improving organizational efficiency and responsiveness. However, the results also reveal critical challenges such as algorithmic bias, wage inequity, heightened employee monitoring, and the potential erosion of boundaries between work and personal life. These insights underscore the dual role of AI as both an enabler of productivity and a source of ethical dilemmas within e-commerce workplaces. The study concludes that successful integration of AI requires balanced strategies that combine technological innovation with human-centered values, ensuring fairness, inclusivity, and sustainable work practices in the digital economy.

AI, Wage Dynamics, and Work-Life Balance in the E-Commerce Industry: A Literature Review Rifki Arohman; Abd. Rasyid Syamsuri; M. Renaldy Saputra; Rofi Gemaladi Hibatullah
Journal of Global Islamic Economic Studies Vol. 2 No. 4 (2024): Journal of Global Islamic Economic Studies
Publisher : Penerbit Merdeka Kreasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to explore the intersections of artificial intelligence, wage dynamics, and work-life balance in the context of the e-commerce industry, with particular attention to how digital transformation reshapes human resource management practices. Using a literature review method, the research systematically analyzed peer-reviewed journal articles, academic books, and reputable reports published in the last five years, focusing on themes related to algorithmic management, compensation structures, and employee well-being. The findings highlight that AI contributes significantly to wage optimization, predictive workforce planning, and performance evaluation, thereby improving organizational efficiency and responsiveness. However, the results also reveal critical challenges such as algorithmic bias, wage inequity, heightened employee monitoring, and the potential erosion of boundaries between work and personal life. These insights underscore the dual role of AI as both an enabler of productivity and a source of ethical dilemmas within e-commerce workplaces. The study concludes that successful integration of AI requires balanced strategies that combine technological innovation with human-centered values, ensuring fairness, inclusivity, and sustainable work practices in the digital economy.

Literature Review: Human Centric AI Design for HR Approaches, Barriers, and Best Practices Abd. Rasyid Syamsuri; Rifki Arohman; Muhammad Renaldy Saputra; Marcella Angraini
Journal of Global Islamic Economic Studies Vol. 2 No. 3 (2024): Journal of Global Islamic Economic Studies
Publisher : Penerbit Merdeka Kreasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to explore the intersections of artificial intelligence, wage dynamics, and work-life balance in the context of the e-commerce industry, with particular attention to how digital transformation reshapes human resource management practices. Using a literature review method, the research systematically analyzed peer-reviewed journal articles, academic books, and reputable reports published in the last five years, focusing on themes related to algorithmic management, compensation structures, and employee well-being. The findings highlight that AI contributes significantly to wage optimization, predictive workforce planning, and performance evaluation, thereby improving organizational efficiency and responsiveness. However, the results also reveal critical challenges such as algorithmic bias, wage inequity, heightened employee monitoring, and the potential erosion of boundaries between work and personal life. These insights underscore the dual role of AI as both an enabler of productivity and a source of ethical dilemmas within e-commerce workplaces. The study concludes that successful integration of AI requires balanced strategies that combine technological innovation with human-centered values, ensuring fairness, inclusivity, and sustainable work practices in the digital economy.

Ethical Challenges and Algorithmic Bias in AI Implementation in HRM Abd. Rasyid Syamsuri; Rifki Arohman; Muhammad Renaldy Saputra; Marcella Angraini
Journal of Global Islamic Economic Studies Vol. 2 No. 2 (2024): Journal of Global Islamic Economic Studies
Publisher : Penerbit Merdeka Kreasi

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This article explores the ethical challenges and algorithmic biases that emerge from the implementation of artificial intelligence (AI) in human resource management (HRM). Through a systematic literature review of recent studies, the analysis reveals that while AI can significantly improve recruitment efficiency, workforce analytics, and strategic HR functions, it also introduces substantial risks, including bias in decision-making, lack of transparency, and ethical concerns around privacy and employee well-being. The findings highlight that algorithmic bias is not only a technical issue but also a reflection of broader social and organizational dynamics, which if left unaddressed can reinforce workplace inequalities. Furthermore, the discussion emphasizes that effective governance, transparency mechanisms, and a human-centered approach are crucial for balancing technological innovation with fairness and inclusivity. Ultimately, the study concludes that responsible AI adoption in HRM requires embedding ethical principles into every stage of design and deployment to ensure that efficiency gains do not come at the expense of employee trust, dignity, and organizational sustainability.

The Role of AI in Facilitating Hybrid Work: Implications for Employee Satisfaction and Engagement Abd. Rasyid Syamsuri; Rifki Arohman; Muhamad Renaldy Saputra; Marcella Angraini
Journal of Global Islamic Economic Studies Vol. 2 No. 2 (2024): Journal of Global Islamic Economic Studies
Publisher : Penerbit Merdeka Kreasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study examines the role of artificial intelligence (AI) in facilitating hybrid work arrangements and its implications for employee satisfaction and engagement. The purpose of this research is to analyze how AI-driven systems influence organizational performance and employee experiences within the increasingly prevalent hybrid model of work. Using a literature review method, the study synthesizes findings from journal articles, research reports, and academic books published in recent years, focusing on the integration of AI tools into human resource management and workplace practices. The results indicate that AI enhances efficiency and collaboration by automating routine tasks, supporting decision-making, and enabling data-driven insights that improve resource allocation and employee support. However, the findings also highlight challenges such as algorithmic bias, lack of transparency, and heightened perceptions of surveillance that may undermine trust, satisfaction, and long-term engagement. The discussion emphasizes that the successful implementation of AI in hybrid work requires robust governance, ethical frameworks, and employee participation to ensure fairness and inclusivity. Overall, the study contributes to a deeper understanding of how AI can be strategically leveraged to balance organizational goals with the well-being and dignity of employees, offering both theoretical insights and practical guidance for sustainable HRM practices in the digital era.

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