Muhammad Bakri
Universitas Wira Bhakti, Indonesia

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Applying Organizational Psychology Principles for Positive Workplace Outcomes Muhammad Bakri
Advances in Human Resource Management Research Vol. 2 No. 1 (2024)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ahrmr.v2i1.258

Abstract

Purpose: This study aims to apply organizational psychology principles to foster positive workplace outcomes. It focuses on developing practical interventions that integrate theoretical and empirical findings from organizational psychology to enhance organizational effectiveness, employee well-being, and overall productivity. Key areas explored include employee engagement, job design, organizational justice, teamwork, and leadership development. Research Design and Methodology: This research employs a qualitative approach, primarily through a literature study, to explore organizational psychology principles. A comprehensive literature search strategy was implemented using academic databases such as PubMed, PsycINFO, and Google Scholar to identify relevant peer-reviewed articles, books, and other scholarly sources. Thematic and content analyses were used to interpret the collected data. Findings and Discussion: The findings indicate that effective leadership, employee engagement, a positive organizational culture, and organizational justice are critical pillars in shaping a healthy and productive work environment. Transformational and authentic leadership significantly enhance employee motivation and performance. High employee engagement is associated with greater job satisfaction, higher productivity, and increased loyalty. A positive organizational culture promoting trust and collaboration enhances employee engagement and organizational outcomes. Organizational justice—procedural, distributive, and interactional—contributes to improved perceptions of fairness, trust, and employee commitment. Implications: The practical implications emphasize the importance of leadership development programs focusing on transformational and authentic leadership behaviors, efforts to foster a supportive organizational culture, and the implementation of fair policies and procedures to build employee trust and commitment. Future research should explore the long-term effects of these principles in diverse organizational contexts.
Product Quality Improvement through Effective Operational Management Hasyim Hasyim; Muhammad Bakri
Advances in Human Resource Management Research Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ahrmr.v2i3.365

Abstract

Purpose: This study explores the impact of advanced technologies and strategies on supply chain optimization within operational management, aiming to understand how AI, ML, IoT, blockchain, effective inventory management, supplier relationship management, risk management strategies, and sustainability practices enhance supply chain performance. Research Design and Methodology: The study uses a qualitative research design, including semi-structured interviews with supply chain experts from various industries and document analysis. The thematic analysis identifies patterns and themes, offering a detailed understanding of factors contributing to supply chain optimization. Findings and Discussion: The study reveals advanced technologies significantly improve demand forecasting accuracy, real-time decision-making, and supply chain transparency. Strategies such as JIT, Lean Inventory, EOQ, and VMI optimize inventory levels and reduce costs. Strong supplier relationships and robust risk management strategies enhance supply chain resilience and agility, while sustainability practices lead to cost savings, improved brand reputation, and regulatory compliance. The findings support the hypothesis that technological integration and strategic management enhance supply chain performance, aligning with the resource-based view and dynamic capabilities theories. Implications: This research provides insights for businesses seeking to optimize their supply chains. It highlighting the need for a holistic approach integrating technological solutions with human and organizational factors. The findings offer practical guidance for implementing advanced technologies and strategies, contributing to scientific understanding and practical applications in supply chain management.
Advancements in Human-Computer Interaction: A Review of Recent Research Hasyim Hasyim; Muhammad Bakri
Advances: Jurnal Ekonomi & Bisnis Vol. 2 No. 4 (2024): July - August
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ajeb.v2i4.327

Abstract

Purpose: This study explores advancements in Human-Computer Interaction (HCI), focusing on how AI and VR technologies can enhance long-term emotional engagement, cultural inclusivity, and accessibility. The research seeks to fill gaps in understanding HCI's emotional and social dimensions by addressing how these technologies affect users' cognitive and emotional well-being over time. Research Design and Methodology: The study uses a qualitative systematic literature review to analyze critical academic and industry research on AI, VR, and HCI. Through a thematic analysis, it identifies trends and challenges in designing more inclusive, emotionally responsive, and culturally adaptive systems. Findings and Discussion: The study reveals that while AI and VR technologies improve user engagement, there are significant gaps in cultural inclusivity and emotional responsiveness, especially for users with disabilities. It also proposes theoretical models integrating emotional and cultural factors into HCI design, enabling adaptive and personalized user experiences. Implications: This research shows the need for HCI technologies to prioritize emotional engagement and inclusivity. Practically, these findings can guide the development of more adaptive AI and VR systems that cater to diverse user needs, offering better accessibility and user satisfaction. Future research should explore empirical applications of these theoretical models in specific industries, such as healthcare and education.