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p-Index From 2021 - 2026
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All Journal Mandalika Journal of Business and Management Studies Lentera Negeri
Moh. Sholeh
Universitas Trunodjoyo Madura
Humanities Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Customer Trust and the Intention to Use Digital Banking Services in the Era of Transformation Surahman Surahman; Subur Harahap; Moh. Sholeh
Mandalika Journal of Business and Management Studies Vol 4 No 1 (2026): Mandalika Journal of Business and Management Studies
Publisher : Mandalika Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/mjbms.v4i1.464

Abstract

This study examines the role of customer trust in influencing the intention to use digital banking services in the era of digital transformation. The research employs a qualitative library research approach by reviewing books, peer-reviewed journal articles, and other relevant scientific publications related to customer trust, digital banking, and behavioral intention. Data were analyzed using content analysis to identify recurring themes, conceptual relationships, and significant findings from previous studies. The results indicate that customer trust remains a fundamental determinant of digital banking usage intention despite continuous technological advancement. Trust reduces perceived risk and uncertainty while strengthening customers' confidence in the security, reliability, and integrity of digital banking services. Furthermore, the findings demonstrate that technological innovation alone is insufficient to encourage sustainable adoption without strong institutional credibility. This study contributes to the behavioral finance and digital banking literature by emphasizing trust as a strategic factor that supports long-term customer engagement and provides practical implications for financial institutions seeking to enhance digital banking adoption through trust-building strategies.
Economic value of east java shrimp exports since 2000-2024 literature review Moh. Sholeh; Febi Ayu Pramithasari; Sri Rumiyati
Lentera Negeri Vol. 7 No. 1 (2026): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/991670

Abstract

Shrimp is one of Indonesia’s leading fishery commodities and contributes significantly to national export earnings in the marine and fisheries sector. East Java Province has become one of the main centers of shrimp production and export due to its extensive aquaculture areas, developed fisheries infrastructure, and access to international export markets. This study uses a Structured Narrative Literature Review (SNLR) approach to analyze the development of the economic value of East Java shrimp exports during 2000–2024. Data were collected from scientific journals, government reports, statistical publications, and fisheries research documents sourced from Google Scholar, Scopus, BPS, and the Ministry of Marine Affairs and Fisheries. The review indicates that shrimp exports from East Java have shown significant growth, particularly after the expansion of whiteleg shrimp cultivation. Export competitiveness is influenced by production capacity, technology adoption, global demand, international quality standards, and trade policies. The study concludes that shrimp exports play a strategic role in regional economic growth and national fisheries development.
Optimizing Financial Risk Management Through the Integration of Artificial Intelligence Machine Learning and Strategic Human Resource Management to Anticipate Financial Crises and Enhance Corporate Financial Stability Haris Aulia Rahman; Ardilla Ayu Kirana; Moh. Sholeh; M.Makhrus Ali; Joni Devitra
Mandalika Journal of Business and Management Studies Vol 4 No 2 (2026): Mandalika Journal of Business and Management Studies
Publisher : Mandalika Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/mjbms.v4i2.479

Abstract

This study examines how the integration of Artificial Intelligence (AI), Machine Learning (ML), and Strategic Human Resource Management (SHRM) can optimize financial risk management to anticipate financial crises and enhance corporate financial stability. The research employs a qualitative library research approach using primary and secondary data collected from books, peer-reviewed journals, scientific reports, and other relevant academic literature. Data were analyzed using content analysis to identify theoretical patterns, conceptual relationships, and emerging trends related to intelligent financial risk management. The findings indicate that AI and ML significantly improve financial forecasting, fraud detection, and risk prediction through advanced predictive analytics, while SHRM strengthens organizational capabilities by developing adaptive leadership, digital competencies, and strategic decision-making. The integration of these technological and organizational resources creates a comprehensive financial risk management framework that enhances organizational resilience and supports sustainable financial performance. The study concludes that combining AI, ML, and SHRM enables organizations to proactively manage financial uncertainty, improve crisis preparedness, and achieve long-term corporate financial stability in an increasingly dynamic business environment.
Co-Authors Ardilla Ayu Kirana Febi Ayu Pramithasari Harahap, Subur Haris Aulia Rahman Joni Devitra M.Makhrus Ali Sri Rumiyati SURAHMAN SURAHMAN