Digital transformation and new technologies have made people’s lives easier and led to great results in most areas of business and society. Implementing blockchain technology is one of the best tools for establishing sustainable smart cities and societies. In terms of sustainable governance sophisticated and secure voting systems are necessary to achieve high integrity and transparency and null election fraud, and, in environmental sustainability, e-voting systems eliminate the mass waste of paper and transportation gas emissions; namely, e-voting systems are eco-friendly with high democratic outcomes. Blockchain technology can revolutionize e-voting by increasing the security and transparency of the voting process. Integrating artificial intelligence (AI) and machine learning (ML) into blockchain-based e-voting systems further augments their effectiveness. AI algorithms can analyze voting patterns and detect irregularities, supporting the prevention of fraudulent activities and coercion. ML procedures can enhance voter authentication processes, improve accessibility for diverse demographics, and optimize the productivity of blockchain networks during peak voting periods. This study focuses on understanding citizen perceptions of blockchain-based e-voting in a smart city context using the Technology Acceptance Model (TAM). The study’s results indicate that perceived ease of use and perceived usefulness are important factors in determining citizens’ intentions to use blockchain-based e-voting. Furthermore, trust in the technology and perceived security were found to influence the usefulness of blockchain-based e-voting positively. This study provides important insights for policymakers and technologists seeking to promote the adoption of blockchain-based e-voting systems in smart cities. The findings of the research supported the research model with positive results. In conclusion, our research model encourages the adoption of a blockchain-based e-voting system to enhance the future voting environment.

E-government has developed the intention of achieving smart governance, and adoption of E-government has been recommended to eradicate corruption because it is perceived to be transparent and accountable. The purpose of this study is to examine whether the implementation of E-government in emerging economies is beneficial in eradicating corruption. The findings of this study, which employed a quantitative approach, demonstrated the significant ramifications of e-government in combating corruption. In Bangladesh and Pakistan, the implementation of E-government attempts to enhance behavioral intention by encouraging transparency and accountability in the fight against corruption. The modified version of the TAM model from previous research is proposed in this study. A total of 680 responses were examined using frequency, reliability, correlation, and multiple regression analysis, and Sobel test was employed for mediation analysis. The study finds substantial evidence for the positive role of E-government in terms of corruption reduction, with transparency and accountability also being impacted positively as mediators between E-government and the behavioral intention of users, and behavioral intention mediating the relationship between E-government and corruption reduction. Furthermore, the findings demonstrate that E-government services, transparency, and accountability are significant predictors of corruption reduction. Finally, the paper illuminates E-government’s success in reducing corruption, which can pave the way for future research, and policy implications to government for corruption eradication are recommended.