Purpose: This study aims to measure the impact of Smart Village dimensions on rural community welfare in Lampung Province from 2020 to 2024, focusing particularly on the Smart Economy pillar and its integration with digital transformation and technosociopreneurship. Research/methodology: A quantitative approach was applied using multiple linear regression analysis (Ordinary Least Squares method) on data from 70 Smart Village loci across four districts in Lampung. The independent variables consist of six dimensions: Smart People, Smart Governance, Smart Mobility, Smart Environment, Smart Living, and Smart Economy, while the dependent variable is community welfare. Instrument testing and classical assumption tests were also conducted to validate the model. Results: All six Smart Village dimensions were found to have a significant positive effect on community welfare, with the Smart People dimension having the highest coefficient (0.8489). The regression model exhibited strong explanatory power (R² = 0.9535), and passed all classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation). The results highlight that Smart Economy initiatives such as the digitalization of MSMEs, inclusive market access, and technology-driven entrepreneurship contribute directly to household income, job creation, and local economic growth. Conclusions: The implementation of Smart Village principles, particularly in smart economic transformation, significantly improves the welfare of rural communities. Digital innovation, good governance, and community capacity-building play key roles in enhancing public service quality, economic inclusion, and sustainability. Limitations: This study is limited to Smart Village implementations within Lampung Province and does not account for comparative data from other regions. It also does not evaluate long-term impacts or qualitative aspects of community behavior and resilience. Contribution: The study offers empirical evidence supporting the effectiveness of Smart Village strategies in rural development. It contributes to policy-making by identifying priority areas for digital infrastructure, entrepreneurship training, and stakeholder collaboration. This research also provides a replicable model for evaluating smart village outcomes in other regions.