Keywords
Leadership Models
Organizational Performance
Institutional Effectiveness
Religious Institutions
Secular Institutions
Abstract
In a variety of institutional contexts, artificial intelligence (AI) is quickly changing the character of organisational administration and leadership. New models of strategic planning, performance evaluation, and decision-making that integrate machine intelligence and human judgement have been established as a result of its growing incorporation into leadership systems. In an increasingly complicated digital environment, this change is altering how organisations function, adapt, and accomplish their goals. With a focus on leadership issues and institutional efficacy in both religious and secular institutions, this study investigates AI-driven leadership models and their impact on organisational performance. The study identifies the contextual constraints that impact acceptance and implementation while also examining how AI-supported leadership systems improve productivity, decision quality, and organisational responsiveness. AI-driven leadership can improve organisational outcomes by facilitating data-informed decisions, boosting operational efficiency, and fortifying strategic skills, according to findings from current scholarly discussions. However, the success of religious and secular institutions varies due to variances in leadership styles, ethical issues, institutional principles, and technical preparedness. Secular institutions exhibit speedier adoption because of performance-driven structures, whereas religious institutions, in particular, tend to be more sensitive to ethical issues and human-centered leadership traditions. According to the study's findings, AI-driven leadership works best when it is integrated in a way that strikes a balance between technological capabilities, human oversight, ethical governance, and institutional context. In order to improve overall institutional performance, it also highlights the necessity of adaptable leadership models that take organisational values and technology innovation into account.
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