Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Studi Ilmu Manajemen dan Organisasi Greenation International Journal of Tourism and Management
Muhammad Yusuf
Universitas Paramadina, Jakarta, Indonesia
Economics, Econometrics & Finance

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Analysis of Emotional Intelligence, Compensation and Career Path on Tour Guide Performance Through Job Satisfaction Muhammad Yusuf; Uus Mohammad Darul Fadli; Esti Liana; Jarot Santosa; Murni S ulistyowati
Greenation International Journal of Tourism and Management Vol. 2 No. 3 (2024): (GIJTM) Greenation International Journal of Tourism and Management (September -
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijtm.v2i3.238

Abstract

The purpose of this literature study is expected to build a hypothesis regarding the influence between variables that can later be used for further research in the scope of human resource management. The literature review research article on the analysis of emotional intelligence, compensation and Career Path on tour guide performance through job satisfaction is a scientific literature article in the scope of human resource management science. The approach used in this literature review research is descriptive qualitative. The data collection technique is to use literature studies or conduct a review of relevant previous articles. The data used in this descriptive qualitative approach comes from previous research that is relevant to this research and is sourced from academic online media such as the Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Emerald, Elsevier, Sage, Web of Science, Sinta Journal, DOAJ, EBSCO, Google Scholar and digital reference books. In previous studies, 1 relevant previous article was used to review each independent variable. The results of this literature review article are: 1) Emotional Intelligence influences Job Satisfaction; 2) Compensation influences Job Satisfaction; 3) Career Path influences Job Satisfaction; 4) Emotional Intelligence influences Tour Guide Performance; 5) Compensation influences Tour Guide Performance; 6) Career Path influences Tour Guide Performance; 7) Job Satisfaction influences Career Path; 8) Emotional Intelligence influences Tour Guide Performance through Job Satisfaction; 9) Compensation influences Tour Guide Performance through Job Satisfaction; and 10) Career Path influences Tour Guide Performance through Job Satisfaction.
The Role of Algorithmic Management in HR Practices and Ethical Challenges Ryan Firdiansyah Suryawan; Muhammad Yusuf; Rousilita Suhendah; Nandan Lima Krisna; Karnawi Kamar
Studi Ilmu Manajemen dan Organisasi Vol 6 No 3 (2025): Oktober
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/simo.v6i3.4642

Abstract

Purpose: This study aims to systematically explore the development of algorithmic management in HR practices, focusing on emerging ethical challenges. Methodology/approach: Using a Systematic Literature Review (SLR), this study analyzes findings from the past five years on the use of algorithms in managerial decision-making and their impact on workers' rights, justice, and welfare. Results/findings: While algorithms bring efficiency, they present significant ethical, social, and legal challenges. Organizations must balance technological efficiency with principles of fairness, transparency, and privacy protection. A collaborative approach between humans and technology, coupled with strict regulation, is essential. Conclusions: Algorithmic management in HR boosts efficiency but raises ethical concerns about fairness and transparency. Its success depends on creating accountable systems that balance technology with human values. Researchers advocate for human-technology collaboration, with algorithms as tools, not substitutes for human decision-making, and the integration of "responsible and explainable AI" to foster fairness and inclusivity. Limitations: The study’s focus on references from developed countries limits its applicability to developing countries like Indonesia. Additionally, most of the literature is conceptual and lacks long-term data. Contribution: The study suggests exploring contextual and participatory case studies across sectors and regions, along with both quantitative and qualitative research on algorithms’ impact on job satisfaction and employee rights. Further research on the role of national and international regulations is required.
Co-Authors Esti Liana Jarot Santosa Karnawi Kamar Murni S ulistyowati Nandan Lima Krisna Rousilita Suhendah Ryan Firdiansyah Suryawan Uus Mohammad Darul Fadli