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This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

The advancement of digital technology has significantly transformed organizational decision-making, particularly in modern leadership contexts that demand rapid and data-driven responses. Artificial Intelligence(AI) has emerged as a strategic technology capable of enhancing accuracy, speed, and effectiveness in decision-making through comprehensive data analysis. This study aims to analyze the role of AI in supporting leadership decision-making and its implications for organizational effectiveness using a narrative literature review approach. Secondary data comprising peer-reviewed national and international journal articles were analyzed to identify patterns, themes, and interactions between AI, leadership, and decision-making processes. The findings indicate that AI functions not only as a data analysis tool but also as a strategic element that strengthens leaders’ capabilities in evidence-based decision-making, improves team coordination, and optimizes organizational processes. Thematic synthesis identified three main domains analytics and predictive capabilities, leadership strategies, and implementation challenges that form the basis for integrating AI into managerial practice. This study contributes theoretically by expanding the digital leadership and technology-based decision-making framework and practically by providing guidance for organizations to optimize AI utilization to enhance decision quality and efficiency. The research also offers directions for future empirical studies to explore AI-leadership interactions across various organizational sectors, supporting more adaptive, effective, and data-driven decision-making in the digital era.

Global business environmental uncertainty, triggered by "Black Swan" phenomena, demands that organizations transform beyond passive resilience toward anti-fragility capabilities, where Human Resource (HR) systems actually grow stronger through market disruptions. This study aims to analyze the concept of anti-fragility within organizational leadership, explain the role of transformational leadership in shaping anti-fragile employees, and identify organizational strategies for navigating market uncertainty. The approach employed is a narrative literature review using content analysis techniques across various reputable scientific journals, anti-fragility theory, and organizational case studies such as Disney+, Zoom, and Tractor Supply. Research findings indicate that transformational leadership acts as a primary catalyst that builds anti-fragility through intellectual stimulation, decentralized autonomy, and the creation of a culture that learns from failure. Organizational strategies prioritizing resource flexibility, cross-skilling, and optionality have proven effective in converting crisis stressors into opportunities for innovation and performance growth. The contribution of this article lies in the development of an "Anti-Fragile Leadership" conceptual framework that integrates the philosophical principles of anti-fragility into strategic HRM practices. The practical implications provide a guide for organizational leaders to design work systems that are adaptive and proactive toward market volatility, ensuring that organizations not only survive but thrive from chaos.

The global rise in life expectancy toward the 100-year threshold has accelerated the emergence of the silver economy, significantly affecting organizational leadership structures, particularly in terms of succession stagnation risks and potential loss of institutional knowledge. This study aims to develop a comprehensive longevity leadership strategy to manage senior leaders and optimize leadership succession in the context of demographic transition. The research employs an integrative literature review with thematic analysis of reputable international and national journal articles published within the last five years. The findings reveal that effective longevity leadership strategies emphasize repositioning senior leaders from operational roles to strategic mentors through knowledge-sharing mechanisms and phased retirement approaches. Furthermore, successful succession in an aging workforce depends on role flexibility and the establishment of new psychological contracts that recognize and value the wisdom of senior leaders. This study contributes theoretically by proposing a dynamic succession model that bridges intergenerational gaps. Practically, it offers guidance for human resource practitioners in designing age-inclusive retention strategies and leadership transition policies.Overall, the proposed strategy supports organizational stability while fostering sustainable innovation through the optimal utilization of senior human capital.