p-Index From 2021 - 2026
8.382
P-Index
This Author published in this journals
All Journal Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Syntax Literate: Jurnal Ilmiah Indonesia Journal of Economic, Bussines and Accounting (COSTING) Technomedia Journal Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Manajemen Strategi dan Aplikasi Bisnis Jurnal Ilmiah Manajemen Kesatuan Enrichment : Journal of Management Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Management and Bussines (JOMB) International Journal of Social Science Oikonomia: Jurnal Manajemen International Journal of Social Service and Research Jurnal Ekonomi Journal Of World Science Indonesian Journal of Business, Accounting and Management Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Lead Journal of Economy and Administration Co-Creation : Jurnal Ilmiah Ekonomi Manajemen Akuntansi dan Bisnis International Journal of Economics and Management Research Economics and Business Journal Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Jurnal Ekonomi, Teknologi dan Bisnis Equivalent: Jurnal Ilmiah Sosial Teknik Journal of Economics and Business (JECOMBI) e-Jurnal Apresiasi Ekonomi Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) International Journal of Economics and Management Sciences Multidisciplinary Indonesian Center Journal Management Dynamics: International Journal of Management and Digital Sciences International Journal of Economics and Management Research Jurna Pendidikan Manajemen Transportasi
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Multidisciplinary Indonesian Center Journal

THE INFLUENCE OF ARTIFICIAL INTELLIGENCE LITERACY ON LEADERSHIP EFFECTIVENESS IN FINANCE INDUSTRY Yonghwa Han; Nurwulandari, Andini; Hasanudin
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 3 (2025): Vol. 2 No. 3 Edisi Juli 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i3.959

Abstract

This research investigates the impact of AI literacy on leadership effectiveness within the finance industry, a sector experiencing rapid digital transformation. As artificial intelligence becomes increasingly integrated into financial operations, leaders are required to possess not only traditional managerial skills but also a strong understanding of AI concepts, applications, and ethical considerations. Using a quantitative approach, data were collected from 55 finance professionals occupying leadership roles across various organizations. The study assessed their levels of AI literacy and examined its relationship with their perceived leadership effectiveness. The results reveal a significant positive correlation between AI literacy and leadership effectiveness, indicating that leaders with higher AI literacy are better equipped to drive innovation, make strategic decisions, and successfully adapt to technological change. These findings highlight the importance of integrating AI literacy into leadership development programs and fostering a culture of continuous learning to ensure sustained organizational agility and competitiveness in the finance sector.
ARTIFICIAL INTELLIGENCE IN FINANCIAL RISK MANAGEMENT: A SYSTEMATIC LITERATURE REVIEW ON ENHANCING ORGANIZATIONAL RESILIENCE FOR FUTURE GLOBAL FINANCIAL CRISES Han, Yonghwa; Nurwulandari, Andini; Hasanudin; Wulandari, Aghnia
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.1572

Abstract

This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.
THE INFLUENCE OF TALENT MANAGEMENT, CONTINUOUS IMPROVEMENT, AND PERFORMANCE APPRAISAL ON PRODUCTIVITY OF VETERINARY STAFF IN LARAS SATWA CLINIC Sasmita, Ady; Nurwulandari, Andini; Setyawati, Irma
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.2272

Abstract

This systematic literature review examined 40 high-quality empirical studies to synthesize evidence regarding how talent management, continuous improvement, and performance appraisal influence employee productivity across organizational contexts. The findings reveal that talent management creates direct and moderated effects on employee productivity through organizational culture and employee involvement mechanisms. Continuous improvement methodologies, including Lean Six Sigma approaches, yield simultaneous improvements in both productivity and quality outcomes, with demonstrated effectiveness in service-oriented sectors. Performance appraisal systems enhance employee productivity through clarified performance expectations, developmental feedback, and strengthened accountability mechanisms. A critical finding is that integrating these three human resource management domains produces synergistic effects that exceed the sum of isolated interventions, demonstrating multiplicative rather than additive productivity gains through mutually reinforcing mechanisms. The 40 included studies employed balanced methodological approaches including quantitative surveys, structural equation modeling, qualitative investigations, and empirical case studies, with 65% published in 2024-2025 reflecting contemporary human resource management practices. This systematic evidence synthesis establishes that veterinary clinics implementing comprehensive integrated approaches addressing talent management, continuous improvement, and performance appraisal simultaneously would achieve superior productivity outcomes while addressing the profession's unique emotional labor demands and animal welfare responsibilities.