Digital Business Model Development Strategies for Tech Startups in the Digital Transformation Era

Abstract

Digital transformation has reshaped the global business landscape, especially for tech startups that must adapt to rapid technological advances and dynamic markets. This study analyzes strategies for developing digital business models in the transformation era using a qualitative literature study approach, drawing from academic publications, industry reports, and scientific articles. The findings reveal several key strategies: innovation in technology-based products and services, optimization of digital technologies such as artificial intelligence, big data, cloud computing, and blockchain, ecosystem strengthening through collaboration with strategic partners, and adaptation to evolving regulations. However, startups face persistent challenges, including regulatory uncertainty, limited resources, data security and privacy issues, and shifting consumer preferences. The analysis highlights that success in developing digital business models depends not only on innovation capabilities but also on adaptive strategies, effective collaboration, and supportive regulatory environments. This study contributes theoretically by enriching the literature on digital business management and practically by providing insights for startups, investors.