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All Journal JURNAL EDUCATION AND DEVELOPMENT Economics and Business Journal
Han, Yonghwa
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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ANALISIS PENGARUH EMPLOYEE ENGAGEMENT, EMPLOYEE EMPOWERMENT, DAN CAREER DEVELOPMENT TERHADAP PRODUCTIVITY LEVEL DAN TURNOVER INTENTION PADA INDUSTRI TEKNOLOGI DI INDONESIA Wulandari, Aghnia; Han, Yonghwa; Waluyo, Tri
JURNAL EDUCATION AND DEVELOPMENT Vol 13 No 1 (2025): Vol 13 No 2 Mei 2025
Publisher : Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/ed.v13i1.6790

Abstract

Penelitian ini menganalisis pengaruh employee engagement, employee empowerment, dan career development terhadap tingkat produktivitas dan intensitas turnover karyawan di industri teknologi di Indonesia. Melalui pendekatan kuantitatif dengan menggunakan data dari karyawan di beberapa perusahaan teknologi, penelitian ini menemukan bahwa ketiga variabel independen tersebut memiliki dampak positif yang signifikan terhadap produktivitas karyawan. Hasil penelitian ini memberikan wawasan bagi manajer sumber daya manusia untuk merancang strategi yang efektif dalam meningkatkan keterlibatan dan pengembangan karir karyawan, sehingga dapat meningkatkan produktivitas dan retensi dalam organisasi atau perusahaan.
Strategic Financial Management in The Digital Age: Leveraging Artificial Intelligence (AI) for Enhanced Creativity and Insight Han, Yonghwa; Nurwulandari, Andini; Hasanudin
Economics and Business Journal (ECBIS) Vol. 3 No. 5 (2025): July
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v3i5.226

Abstract

This study investigates the influence of artificial intelligence (AI) integration on strategic financial management in large corporations. Focusing on a sample of 20 Fortune 500 companies from diverse industries, the research employs a quantitative, descriptive-analytical approach utilizing secondary data from financial reports and AI system logs. The findings reveal that AI adoption significantly enhances forecasting accuracy, risk identification, and operational efficiency, while also enabling financial managers to redirect resources toward creative and strategic initiatives. However, the study also identifies challenges related to data quality, ethical considerations, and skill gaps in AI utilization. The results highlight the importance of a balanced approach that combines AI-driven insights with managerial intuition to maximize value creation in the digital age.
Co-Authors Aghnia Wulandari ANDINI NURWULANDARI Hasanudin Tri Waluyo