Structural features of digital neighbourhood in the context of digital economy

Despite methodological specificity, structural equation modeling has been preferred over other contemporarytechniques such as fuzzy logic modeling, Bayesian network analysis, and Monte Carlo simulation due to contextualsensitivity and significant decision-support benefits. The present study aims to address this analytical gap by examiningthe structural dynamics of digital neighbourhoods, focusing on three interconnected dimensions. We performed aREGRESSION-SEM hybrid analysis to map the research on digital community ecosystems and investigate how thefunctionality of digital neighbourhoods, according to an established multi-level framework (technological infrastructure,platform governance, trust and data transparency and socio-economic inclusivity, interconnectivity and interoperability,user agency, spatial adaptability, and temporal dynamism), might be shifting in the context of a data-driven economy. Weconceptualize the digital neighbourhood as the collective transformation of an interconnected digital ecosystem towardsthe alignment, mobilization, sustainability, and governance of digital resources built on a sense of spatial proximity, digitalparticipation, shared identity, and socio-technical resilience.