The Future of Decision Making Process in the Government's IT Project in Industry 4.0 Era

The decision making in the government's IT project can be problematic to degrade the performance of a team. A leader who confidence in their IT competence likely to make their own decision (hierarchical) and a leader who lacks competencies tends to allow the specialized follower to make a decision. Based on the garbage can model, the present research address how government IT project adopt industry 4.0's knowledge-based leadership that founded on authentic leadership as measurement. Samples were drawn from 444 IT project participants in Semarang municipal government, Indonesia. The path analysis of the sequential mediated variable indicated team performance has positively affected by authentic leadership, employee (follower) competence, and decision structure. Practically, this study as a pathway to set out industry 4.0's knowledge-based leadership to the government's IT project. Our findings contribute to the theoretical discourse of garbage can by augmenting authentic leadership and employee competence as an antecedent predictor of decision structure.