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All Journal Benchmark Asian Journal of Management Analytics Innovative: Journal Of Social Science Research Priviet Social Sciences Journal
Fadilah, Nuriya
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Studi Transformasi Digital terhadap Manajemen SDM Global: Systematic Literature Review Fadilah, Nuriya; Anshori, Mochammad Isa
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17576

Abstract

This research examines the effect of digital transformation on human resource management (HRM) in global organizations using the Systematic Literature Review (SLR) approach. It focuses on how digitalization, through technologies like HRIS and automation, impacts operational efficiency, employee retention, and various HR functions. Data were gathered from the top 34 journals (2017-2024) in Google Scholar using Publish or Perish (PoP). Results show enhanced productivity, work flexibility, and employees' digital skills, though challenges such as resistance to change and skill shortages were noted. The study advises companies to factor in ethical and social responsibility considerations when adopting technology. Limitations include the sources and timeframe of the data, suggesting future research should expand the scope of sources and duration.
Analisis Dampak Tata Kelola Perusahaan terhadap Kinerja Perusahaan Multinasional: Systematic Literature Review Sulistiarini, Irna; Fadilah, Nuriya; Prasetyono
Benchmark Vol. 5 No. 2: April 2025
Publisher : Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46821/benchmark.v5i2.542

Abstract

Tata kelola perusahaan yang baik sangat penting untuk meningkatkan transparansi, akuntabilitas, dan kinerja, terutama bagi perusahaan multinasional (MNCs) yang menghadapi tantangan dalam mengelola perbedaan regulasi antar negara. Penelitian ini bertujuan untuk mengevaluasi pengaruh tata kelola terhadap kinerja MNCs, dengan menggunakan metode Systematic Literature Review (SLR) untuk menganalisis 15 artikel yang diambil dari database Google Scholar. Hasil penelitian menunjukkan bahwa faktor-faktor seperti keberagaman dan independensi dewan, serta pemisahan antara peran CEO dan ketua dewan, dapat berkontribusi pada peningkatan kinerja perusahaan. Namun, masih ada kekurangan penelitian yang membahas pengaruh teknologi, kepemilikan di negara berkembang, serta hubungan antara CSR dan kinerja keuangan yang perlu diteliti lebih lanjut.
Consumer Preferences and Decision-Making in Digital Payments: A Systematic Review Using the Technology Acceptance Model (TAM) Fadilah, Nuriya; Andriani, Nurita
Asian Journal of Management Analytics Vol. 4 No. 2 (2025): April 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i2.14295

Abstract

The development of digital technology has driven the adoption of digital payments such as e-wallets, mobile banking, and QRIS. This study employs a Systematic Literature Review (SLR) to analyze the factors influencing consumer preferences and decision-making based on the Technology Acceptance Model (TAM). The findings indicate that Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Use (ATU), and Behavioral Intention (BI) play a crucial role in the adoption of digital payments. Additionally, factors such as security, trust, economic incentives, and social influence also have a significant impact. Trust and security enhance user loyalty, while incentives and social influence accelerate adoption. Thus, while TAM remains relevant, external factors must be considered in the development of digital payment systems.
Effectiveness of recommendation algorithms on impulsive buying in e-commerce platforms: A systematic literature review Fadilah, Nuriya; Masarroh, Itaul; Wildan, Muhammad Alkirom
Priviet Social Sciences Journal Vol. 5 No. 8 (2025): August 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i8.485

Abstract

This study analyzes the effectiveness of recommendation algorithms in influencing impulsive buying behavior on e-commerce platforms. Through a comprehensive review of the existing research literature, it was revealed that personalization strategies such as collaborative filtering, content-based filtering, and artificial intelligence (AI) boost impulsive buying tendencies by alleviating cognitive burdens and enhancing elements such as limited-time offers, social proof, and emotional connection. Factors such as flow experience, positive feelings, and moderating elements such as age, social media influence, and economic circumstances also play a crucial role in determining the effectiveness of these algorithms. This study provides beneficial knowledge for algorithm developers and digital marketers to refine personalization efforts and to consider psychological and contextual influences when crafting more impactful marketing strategies.
Co-Authors Masarroh, Itaul Nurita Andriani Prasetyono sulistiarini, irna Wildan, Muhammad Alkirom