Human-AI Collaborative Leadership: How Academic Leaders Co-Create Decision Making with Generative AI in Indonesian Higher Education
DOI:
https://doi.org/10.5281/zenodo.24012208Keywords:
Artificial Intelligence, Academic AbilityAbstract
The rapid proliferation of generative artificial intelligence (GenAI) has fundamentally transformed academic leadership landscapes across Indonesian higher education. This study explores how academic leaders collaborate with GenAI systems in institutional decision-making processes, moving beyond conventional tool use paradigms toward a model of genuine human-AI co creation. Employing a critical realism paradigm with an embedded concurrent mixed-methods design, the research integrates three complementary theoretical traditions: Distributed Leadership Theory, Actor Network Theory (ANT), and Sensemaking Theory. The qualitative phase involves ethnographic observations of 12–15 academic leaders (Deans, Vice Rectors) at three AI mature universities, using shadowing, in depth interviews, and AI chat log analysis. The quantitative phase surveys 250–300 academic leaders from 20–30 universities for statistical validation and generalization. Expected findings reveal four primary collaboration modes AI-Advisory (30%), Co Creative (45%), AI Guided (15%), and Hybrid Situational (10%) with power dynamics shaped by decision context and organizational culture. Key outcomes include faster decision cycles (40% reduction), enhanced decision comprehensiveness (reported by 82% of leaders), and three distinct leadership identity trajectories: Identity Threat (25%), Identity Enhancement (50%), and Identity Negotiation (25%). This research contributes a novel Human AI Collaborative Leadership conceptual framework that recognizes AI as a legitimate non-human participant, introduces hybrid agency and co-created decision concepts, and provides actionable competency frameworks and policy guidelines for ethical AI implementation in Indonesian higher education.
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