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Pendekatan Manajemen Modern Strategi Efektif untuk Meningkatkan Produktivitas Tim Napitupulu, Rohani Lestari; Avian, Zakhi Bailatul Nur; Nugroho, Cahyo Adi; Pamuji, Slamet; Kasmin, Kasmin
Metta : Jurnal Ilmu Multidisiplin Vol. 4 No. 4 (2024)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/metta.v4i4.3659

Abstract

This research discusses effective strategies for increasing team productivity through modern management approaches. In an increasingly complex and dynamic era, organizations are faced with the challenge of maximizing team performance to remain competitive. This research identifies various management methods that can be applied to create a more productive and collaborative work environment. Through case studies and literature analysis, we explore techniques such as open communication, efficient time management, and the application of digital technologies in team collaboration. The research results show that an inclusive and adaptive management approach contributes significantly to increasing team member motivation and engagement. Methods such as Agile and a results-based approach have been proven to significantly increase productivity and job satisfaction. By involving team members in the decision-making process and providing constructive feedback, organizations can build a positive and innovative work culture. This not only encourages creativity, but also creates a sense of belonging among employees. This research concludes that modern management strategies that focus on collaboration, effective communication and the use of technology can be the key to increasing team productivity. It is hoped that these findings can provide guidance for organizational leaders in formulating managerial policies that are more effective and responsive to team needs in the future. This research also invites further discussion about the importance of management adaptation in facing changing work dynamics and evolving challenges.
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.