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Journal : West Science Social and Humanities Studies

Use of Artificial Intelligence in HR Recruitment and Selection in Start-up Companies Rama, Rovanita; Jasmin, Jasmin; Rukmana, Arief Yanto; Hamzali, Said; Vandika, Arnes Yuli
West Science Social and Humanities Studies Vol. 2 No. 06 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i06.976

Abstract

This bibliometric study analyzes the evolving landscape of human resource management (HRM), emphasizing the integration of technology into HR practices, particularly in recruitment and selection processes. Utilizing VOSviewer, the research maps the co-occurrence of keywords within a comprehensive dataset, revealing dominant themes, trends over time, and less explored areas. The analysis identifies core thematic clusters such as "human resource management," "recruitment," and "analytics," highlighting the significant focus on optimizing traditional HR functions through technological advancements. The study observes a marked shift in research trends, particularly influenced by the challenges posed by the COVID-19 pandemic, which accelerated the adoption of remote work technologies and digital HR tools. The visualization also identifies underexplored research opportunities in areas like "blockchain" and "internet," suggesting potential for groundbreaking research in enhancing HR operations. Furthermore, the network analysis underscores the importance of author collaboration in expanding the multidisciplinary scope of HRM research. This study contributes to the understanding of HRM's dynamic evolution and outlines strategic directions for future research, ensuring HR practices align with technological advancements and organizational needs.
Evolution of the Use of Artificial Intelligence in Mobile Applications to Improve the Efficiency of Public Service Judijanto, Loso; Rukmana, Arief Yanto; Fawait, Aldi Bastiatul; Rahmah, Sitti; Sugiarto, Sugiarto
West Science Social and Humanities Studies Vol. 2 No. 11 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i11.1457

Abstract

The integration of artificial intelligence (AI) into mobile applications has transformed public service delivery by enhancing efficiency, accessibility, and responsiveness. This study employs a bibliometric approach to analyze the evolution of AI applications in public service, focusing on research trends, key contributors, and thematic developments from 2000 to 2024. The findings reveal a rapid increase in research output since 2018, driven by advancements in enabling technologies such as IoT, 5G, and machine learning, as well as global challenges like the COVID-19 pandemic. Key application areas identified include healthcare, smart cities, and governance, with AI-powered mobile apps demonstrating significant potential in addressing societal needs. However, challenges related to data privacy, algorithmic bias, and technical infrastructure persist. This study underscores the importance of ethical frameworks, interdisciplinary collaboration, and localized solutions to maximize the impact of AI in public service delivery. The findings offer valuable insights for researchers, practitioners, and policymakers seeking to leverage AI for smarter and more equitable public services.
The Effect of Digitalization of the Recruitment Process, Use of Data Analysis Tools, and Generational Diversity on Workforce Quality at Technology Start-up Companies in West Java Apriyanto, Apriyanto; Rukmana, Arief Yanto; Bunyamin, Ilham Akbar
West Science Social and Humanities Studies Vol. 3 No. 02 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i02.1718

Abstract

This study examines the impact of three critical factors—Digitalization of the Recruitment Process, Generational Diversity, and Use of Data Analysis Tools—on Workforce Quality in technology start-up companies in West Java. Using a quantitative approach, data were collected from 150 respondents with a Likert scale (1-5) and analyzed using Structural Equation Modeling (SEM-PLS 3). The results indicate that all three factors positively influence workforce quality, with Generational Diversity having the most substantial effect. Specifically, the digitalization of recruitment processes enhances workforce quality by improving candidate selection, while data analysis tools contribute to informed decision-making in talent management. The findings highlight the importance of integrating digital technologies and fostering a diverse workforce to optimize workforce quality in start-up environments. The study provides actionable insights for practitioners seeking to improve workforce performance through technological and diversity initiatives.