An Empirical Study of Trust Formation through Emerging Technologies in Bangalore, India

Digital trust has emerged as a critical determinant of sustainable digital transformation, particularly in technology-intensive urban environments. As digital platforms increasingly mediate economic and social interactions, user confidence in the security, transparency, and ethical functioning of digital systems has become essential. This study investigates the formation of digital trust within Bangalore’s rapidly expanding digital ecosystem by examining the influence of emerging technologies, including artificial intelligence, blockchain, cloud computing, and data-driven systems. Drawing on trust theory and technology acceptance literature, the study employs a quantitative research design using primary data collected from 420 digitally active respondents in Bangalore, India. Structural Equation Modeling (SEM) is applied to analyze relationships between data privacy assurance, cybersecurity strength, AI transparency, blockchain-enabled trust mechanisms, and overall digital trust. The results indicate that data privacy and cybersecurity exert the strongest influence on trust formation, while AI transparency and blockchain adoption play significant supporting roles. The findings highlight that technological sophistication alone is insufficient to build trust; instead, trust emerges from the interaction between technology design, governance mechanisms, and user perceptions. This study contributes to digital trust literature by providing empirical evidence from an emerging economy context and offers practical guidance for organizations and policymakers seeking to foster trustcentric digital ecosystems.