Innovative Approaches in Digital Economy Management and Their Impact on Efficiency

The focus of this paper is to analyze how the innovative management approaches in the digital economy impacts the efficiency of organizations. While a considerable number of papers report on the outcomes of digital transformation, a disconnected picture emerges of common management innovations that consistently improve efficiency across industries. In order to bridge this gap, we systematically reviewed and synthesized recent empirical studies and meta analyses relating to management practices that utilize data, platforms, and artificial intelligence. The review discovers four recurrent approaches are data driven decision making, agile management and processes, platform enabled business models, and AI supported automation and learning. However, in step with the preceding empirical evidence, our effects differ with the aid of using enterprise, corporation capabilities and country-wide context: those methods are a supply of operational overall performance enhancement, phoenix expansion speeds up selection cycles, and sculpted scores degree adaptive overall performance. The result is a pragmatic framework that connects specific types of management innovations to measurable efficiency drivers. The implication for managers is simple: Focus on developing digital capabilities and sharing knowledge to turn technology into productivity. The finding also supports investment in digital infrastructure and skills by policy makers to spread firm level benefits. Research in the future should use longitudinal data from different countries to test the framework.