Syafrita, Willa Kurnia Eka
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PENGARUH SOCIAL COMPUTING DALAM MENINGKATKAN KNOWLEDGE MANAGEMENT Syafrita, Willa Kurnia Eka; Veri, Jhon
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 5 No. 3 (2025): Indo-Fintech Intellectuals: Journal of Economics and Business (2025)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v5i3.3984

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh social computing terhadap knowledge management pada instansi pemerintahan di Kota Padang. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik total sampling terhadap 48 orang pegawai sebagai responden. Analisis data dilakukan menggunakan metode Structural Equation Modeling (SEM) berbasis Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa social computing berpengaruh positif dan signifikan terhadap peningkatan knowledge management, dengan nilai koefisien determinasi (R²) sebesar 0,780. Temuan ini mengindikasikan bahwa pemanfaatan platform digital berbasis kolaborasi mampu memperkuat proses penciptaan, penyimpanan, dan penyebaran pengetahuan antarpegawai. Berdasarkan hasil tersebut, penelitian ini merekomendasikan pentingnya peningkatan literasi digital serta penyusunan kebijakan internal yang mendukung implementasi social computing secara berkelanjutan dalam lingkungan birokrasi pemerintahan.
Strategi Human Capital di Era Disrupsi AI: Systematic Literature Reviews tentang Reskilling, Upskilling, dan Pengelolaan Talent Endra, Sumarta; Rosi, Vevia; Widiasari, Zulfeni; Syafrita, Willa Kurnia Eka; Pranata, M. Yogi Eka; Syafwandi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 4 (December 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i4.1351

Abstract

This study aims to examine the development and impact of artificial intelligence adoption across various sectors, with a focus on higher education, creative industries, and business. Using bibliometric analysis, this research analyzes relevant articles published between 2021 and 2024, considering citation counts and contributions to understanding AI in different fields. The most cited article is Developing a model for AI Across the curriculum, which discusses the integration of AI in higher education to enhance AI literacy. Additionally, the study highlights the importance of upskilling and reskilling in multinational corporations, as discussed in Rebooting employees: upskilling for artificial intelligence in multinational corporations, emphasizing the need for skill updates to adapt to technological advancements. The research also identifies that AI adoption by SMEs and other industries has significant potential to improve productivity and business sustainability, although challenges related to human resource readiness and digital infrastructure persist. Overall, the findings provide insights into AI's technological development and its implications for business transformation and learning strategies in the digital era.