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Journal : Multidisciplinary Indonesian Center Journal

 1 
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.
CUSTOMER-DRIVEN EXCELLENCE STRATEGY: LEVERAGING SERVICE QUALITY, BRAND CREDIBILITY, AND PERCEIVED VALUE IN THE UMRAH TRAVEL INDUSTRY IN DEPOK CITY Wulandari, Aghnia; Efendi, Suryono; Hasanudin
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 4 (2025): Vol. 2 No. 4 Edisi Oktober 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i4.1146

Abstract

This study examines the implementation of customer-driven excellence strategy in the Umrah travel industry in Depok City by investigating the relationships between service quality, brand credibility, perceived value, and customer-driven excellence outcomes. Using a quantitative research approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 105 customers who have utilized Umrah travel services within the past two years. The measurement model demonstrated excellent reliability and validity, with all constructs meeting stringent psychometric criteria for convergent and discriminant validity. The structural model reveals that all three hypotheses are strongly supported, with brand credibility emerging as the most influential factor (β = 0.398, p < 0.001), followed by perceived value (β = 0.356, p < 0.001) and service quality (β = 0.285, p < 0.001). The integrated model explains 74.2% of variance in customer-driven excellence, demonstrating strong explanatory power and large predictive relevance (Q² = 0.486). These findings provide empirical evidence that successful customer-driven excellence strategy requires integrated approaches prioritizing brand credibility development while simultaneously enhancing perceived value and service quality. The study offers valuable insights for Umrah travel operators seeking to optimize competitive advantage through comprehensive customer excellence strategies that address both functional and emotional dimensions of religious tourism services.
SUSTAINABLE AGILITY-DRIVEN CULTURE IN HUMAN RESOURCE MANAGEMENT: A PRIDE FRAMEWORK FOR FUTURE-READY ORGANIZATIONS Wulandari, Aghnia; Efendi, Suryono; Hasanudin; Han, Yonghwa
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.v3i1.1571

Abstract

This research develops the PRIDE Framework to integrate five interdependent dimensions, People (People-Centric Excellence), Resilience, Innovation, Development, and Empowerment, into a unified model explaining how HRM practices drive both sustainability and agility. A systematic literature review guided by PRISMA principles was conducted, selecting peer-reviewed empirical and conceptual studies that examine HRM, organizational agility, and sustainability. Thematic synthesis and reflexive analysis produced a circular puzzle architecture representing these dimensions and their interconnections. Findings reveal that integrated people-centric policies, robust knowledge management, embedded innovation practices, continuous learning, and distributed decision-making create synergistic capabilities that enable rapid adaptation while maintaining long-term viability. Critical enablers include psychological safety, holistic wellness initiatives, adaptive learning programs, and outcome-based empowerment. The framework addresses gaps by showing sustainability and agility as complementary imperatives rather than competing priorities. Future research should validate the framework through multi-level and longitudinal studies, incorporate diverse language sources for broader context, and explore the impacts of AI-enabled HRM on each dimension. Limitations involve temporal and linguistic scope.
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.
Co-Authors Abbas, Asyari ABDUL MUJIB Adi Subandi Aditya Dwi Saputra Adriansyah Aghni Siti Faujiah Aghnia Wulandari Agus Dwiyanto, Agus Agustian, Indra Agustiarini, Vitri Ahmad Muzayyin Ahmad Rudiansyah Ahmad Shalahuddin, Ahmad Ahmad Yani Anshori, Ahmad Yani Ahmad Zikri Akbari, Rizki Zulfi Albert Lianto Alfiah, Mila Amanda Risky Amalia Amelia, Rizka Wahyuni Amir Tajrid Amsal ANDINI NURWULANDARI Angga Permadi Awaloedin, Dipa Teruna Badruzaman, Dudi Baharsyah, Syamsudin Bahtiar Wilantara Bambang Gonggo Murcitro Bandi Hermawan Bintoro Bagus Purmono Bungawati Bungawati, Bungawati Cecep Abdul Cholik Daniel Happy Putra Daud, Ilzar Dhimas Andree Priyono Dian Ardiansyah Dian Zahra N Dian Zahra N. Didik Himmawan Dini Nurfajri H. Dini Nurfajri Hayati Dini Setyorini DipaTaruna Djenal Suhara Dody Pratama Marumpe Dwipa, Eliza Rahma Efendi, Suryono Eko Supriyanto Endang Komara Enok Tuti Alawiah Erna Listiana Ernawati Fahrurrozi, Fahrurrozi Fauzan, Rizky gina dewi sonia Giriati Gustaman Habibullah, Fakhrul Hafita, Yuniar Ayu Hamid, Aditia Putra Han, Yonghwa Handayani, Ani Juwita Hanurajasa, Dhike Noordestiasari Hariadi, Fadli Harry Setiawan Helmawati Hemansyah, Yus Hermansyah Hermansyah Hermansyah, Yus Heru Widiyono, Heru Ikram Yakin Irfan Syahyudi Kamsi Kariadi, Mustasyfa Thabib Karsim Karyatun, Subur Khairudin Khusni Kurniawan Lani Maulani Yusuf Lanlan Muhria Lazuardi, Muhammad Abdul Latief Lina Nofiana Maryam Masdar Mazayatul Mufrihah B11212091 Moh Yusup Saepuloh Jamal Muhammad Afif Muhammad Hendri MUHAMMAD SAID Muharomah, Nurul Adilatul Mukhtar Hadi N. Syakirohtul Riskiyah Nandang Komara Nandang Muhyidin Nofiana, Lina Nova Yuliasari Novarianti Nugroho Budisantoso Nur Afifah Nurma Wijareni Pamela, Karim Pradini, Gagih Prawito, Priyono Purmono, Bintoro Bagus Putri Rahmah Putri, Elsa Lolita Rachmat Setiawan Rahayu Lestari Ramadania Rasyid, Riana Sari Puspita Ratman Ridho Pangestu Yuwan Rieke Dwi Oktaviani Rifdah Regita Acasia Kadir Riwandi Rizka Wahyuni Amelia ROMI SURADI ME Rosyad, Ali Miftakhu Rudiansyah, Ahmad Sabiq Rizki Hasan Saharudin Saksono, Lalang Sanjaya, Rina Saputra, Gregorius Deri Selma Alfania Sani Septiana Anggraini Setiarso, Gunawan Setiawan, Muhammad Diki Setyorini, Dini Sjarief Widjaja Sri Purwanti Sugiono, Edi Suhara, Djenal Sulistiono, Agus Sumarta, Ryan Puby Tasiroh Tyaksa Putra, Rivanda Usman, Maharani Violin Wahyudi Zikri Wendy Widarta, I Gede Yonghwa Han Yudiyanto, Mohamad Yus Hermansyah Zaedi Zallya Fassya