A Contemporary Evidence Synthesis of Leadership Styles and Their Impact on Organizational Performance: A Systematic Review
Jon Paul M. Reyes | Manuel T. Malabanan | Carl Benedict M. Monterroyo
Discipline: management studies
Abstract:
This systematic review examined the relationship between various
leadership styles and organizational performance, drawing on 42 studies
published between 2019 and 2025. Although extensive research exists, the
literature remains fragmented due to inconsistent contexts, overlapping
constructs, and diverse performance indicators. The review aimed to (1)
determine which leadership styles are most strongly linked to performance
outcomes, (2) identify mediating and moderating factors that shape this
relationship, and (3) highlight gaps for future research. Guided by the PRISMA
2020 framework, relevant studies were systematically gathered from Scopus,
Web of Science, ScienceDirect, Emerald Insight, and Google Scholar. A
narrative synthesis approach was used to integrate both quantitative and
qualitative evidence. Findings revealed that transformational leadership most
consistently enhances innovation, employee engagement, and long-term
organizational performance. Transactional leadership contributes to short-term
efficiency and goal attainment, while servant leadership fosters ethical cultures
and supports employee well-being. Emerging models, remarkably adaptive
and distributed leadership, are gaining prominence in post-pandemic and
digital work environments. The results also indicate that leadership
effectiveness is context-dependent, with cultural and sector-specific differences
influencing outcomes. Overall, the review concludes that no single leadership
style universally guarantees organizational success. Instead, a blended
approach incorporating transformational, servant, and adaptive elements
appears most effective in promoting resilience and sustainable performance.
These insights offer valuable implications for leadership development,
organizational policy, and innovation strategies in rapidly evolving
environments.
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