Entrepreneurship and Innovation in the Digital Economy: A Cross-Disciplinary Analysis of Emerging Business Models

Abstract

The rapid expansion of the digital economy has fundamentally transformed traditional business structures, enabling the emergence of innovative entrepreneurial models that integrate technology, data, and global connectivity. This study presents a cross-disciplinary analysis of entrepreneurship within the digital ecosystem, drawing from business management, information technology, and economic theory. It explores the evolution of digital business models, including platform-basedenterprises, gig economy structures, and data-driven innovation systems. The research highlights the role of artificial intelligence, cloud computing, and big data analytics in shaping entrepreneurial opportunities and competitive advantages. Additionally, the study examines the socio-economic implications of digital entrepreneurship, including labor market shifts, regulatory challenges, and sustainability concerns. By synthesizing theoretical frameworks and real-world applications, this article provides a comprehensive understanding of how digital transformation fosters innovation and reshapes global business landscapes. The findings emphasize the need for adaptive policies, interdisciplinary collaboration, and inclusive innovation strategies to ensure sustainable growth in 
the digital economy.