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Huda, Achmad Nuril; Hamdani, Umar; Rahayu, Wening Patmi; Winarno, Agung

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2025 FEB Universitas Maritim Semarang

This paper provides a comprehensive examination of the concept and implementation of skill management as a cohesive set of competencies encompassing technical, interpersonal, conceptual, and strategic skills within organizational and entrepreneurial contexts. The background highlights the critical role of skill management in addressing the challenges posed by a highly competitive and rapidly evolving business environment, where mastery of these competencies determines both individual and organizational effectiveness in planning, organizing, leading, and controlling resources to achieve collective objectives. Grounded in a literature review of seminal works by Robbins & Coulter, Katz, Drucker, Mintzberg, Armstrong, and Barney & Hesterly, this study adopts a structured approach that covers definitions, classification of skill types, their roles in organizations, development strategies, implementation challenges, and applications in entrepreneurship. The findings indicate that: (1) technical, human, and conceptual skills are complementary across different managerial levels; (2) skill development requires a blend of formal education, field practice, mentorship, and technology utilization; (3) primary challenges include technological adaptation, complexity of decision-making, and limitations in training resources; and (4) in entrepreneurial ventures, effective skill management is fundamental to planning, finance, human resources, innovation, and communication. In conclusion, skill management should not be viewed as a static competency but as a strategic asset that must be continuously enhanced through lifelong learning, enabling both individuals and organizations to sustain growth and resilience in the era of globalization and digital transformation.

Nazari, Esa Cahyani; Mukhtaruddin, Mukhtaruddin

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2025 FEB Universitas Maritim Semarang

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.