IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4387-d1399576.html

Citizens’ Perception of Blockchain-Based E-Voting Systems: Focusing on TAM

Author

Listed:
  • Kamoliddin Murodjon ugli Mannonov

    (Department of Industrial Security Governance, Policy Science, Inha University, Incheon 22212, Republic of Korea)

  • Seunghwan Myeong

    (Department of Public Administration, Inha University, Incheon 22212, Republic of Korea)

Abstract

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.

Suggested Citation

  • Kamoliddin Murodjon ugli Mannonov & Seunghwan Myeong, 2024. "Citizens’ Perception of Blockchain-Based E-Voting Systems: Focusing on TAM," Sustainability, MDPI, vol. 16(11), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4387-:d:1399576
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4387/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4387/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hosein Mohammadi & Flavio Boccia & Amirhossein Tohidi, 2023. "The Relationship between Democracy and Economic Growth in the Path of Sustainable Development," Sustainability, MDPI, vol. 15(12), pages 1-12, June.
    2. Tatiana Goloshchapova & Vladimir Yamashev & Natalia Skornichenko & Wadim Strielkowski, 2023. "E-Government as a Key to the Economic Prosperity and Sustainable Development in the Post-COVID Era," Economies, MDPI, vol. 11(4), pages 1-23, April.
    3. Hamed Taherdoost, 2022. "A Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications," Post-Print hal-03741851, HAL.
    4. Pedro Palos-Sanchez & Jose Ramon Saura & Raquel Ayestaran, 2021. "An Exploratory Approach to the Adoption Process of Bitcoin by Business Executives," Mathematics, MDPI, vol. 9(4), pages 1-23, February.
    5. Cheng-Chia Yang & Shang-Yu Yang & Yu-Chia Chang, 2023. "Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    6. Yurong Yao & Lisa Murphy, 2007. "Remote electronic voting systems: an exploration of voters' perceptions and intention to use," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(2), pages 106-120, April.
    7. Robert Krimmer & David Duenas-Cid & Iuliia Krivonosova, 2021. "New methodology for calculating cost-efficiency of different ways of voting: is internet voting cheaper?," Public Money & Management, Taylor & Francis Journals, vol. 41(1), pages 17-26, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michal Niewiadomski & Agnieszka Witon & Beata Pater & Natalia Lukaszczyk & Jacek Strojny & Marcin Surowka & Szymon Waliczek & Lukasz Kmiec & Lukasz Smolka, 2025. "Perception of the Potential for Blockchain Technology Adoption Across Different Sectors of the Polish Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1443-1457.
    2. Wei Wei & Yue Xu & Zhimin Wang, 2026. "CSL learners’ acceptance and use of ChatGPT: an extended technology readiness and technology acceptance model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorge Andrés-Sánchez & Jaume Gené-Albesa, 2024. "Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    2. K Padma Kiran & Naga Sailaja Vedala, 2025. "Assessing Unified Payments Interface (UPI) adoption and usage through the interplay of UTAUT factors," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    3. Tenzin Norbu & Joo Yeon Park & Kok Wai Wong & Hui Cui, 2024. "Factors Affecting Trust and Acceptance for Blockchain Adoption in Digital Payment Systems: A Systematic Review," Future Internet, MDPI, vol. 16(3), pages 1-21, March.
    4. Paolo Pietro Biancone & Valerio Brescia & Michele Oppioli & Ginevra Degregori, 2025. "Harnessing Blockchain for Sustainable Business Strategy: A Case Study on Enhancing Accounting Practices," Business Strategy and the Environment, Wiley Blackwell, vol. 34(8), pages 10533-10550, December.
    5. Yanfeng Liu & Shanshan Zhao & Shuxian Zhao, 2025. "Adoption of digital logistics platforms in the maritime logistics industry: based on diffusion of innovations and extended technology acceptance," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    6. Untung Rahardja & Shih-Chih Chen & Yu-Chun Lin & Tsung-Chieh Tsai & Qurotul Aini & Asif Khan & Fitra Putri Oganda & Elisa Royani Dewi & Ying-Chieh Cho & Chung-Hao Hsu, 2023. "Evaluating the Mediating Mechanism of Perceived Trust and Risk toward Cryptocurrency: An Empirical Research," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Ammar AL-Ashmori & P. D. D. Dominic & Narinderjit Singh Sawaran Singh, 2022. "Items and Constructs of Blockchain Adoption in Software Development Industry: Experts Perspective," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    8. Ricardo E. Buitrago R. & James Rajasekar & Jorge Alcaraz, 2023. "Soft Power in emerging economies: A partial least squares – structural equation modeling exploratory analysis of the effects on outward foreign direct investment," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 26(3), pages 211-234, September.
    9. Yuqi Zhao & Young-Hwan Pan, 2023. "A Study of the Impact of Cultural Characteristics on Consumers’ Behavioral Intention for Mobile Payments: A Comparison between China and Korea," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    10. Balzarova, Michaela & Dyer, Celia & Falta, Michael, 2022. "Perceptions of blockchain readiness for fairtrade programmes," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    11. Chunling Li & Nosherwan Khaliq & Leslie Chinove & Usama Khaliq & József Popp & Judit Oláh, 2023. "Cryptocurrency Acceptance Model to Analyze Consumers’ Usage Intention: Evidence From Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
    12. Payam Hanafizadeh & Maryam Alipour, 2025. "Theory borrowing in emerging technology-oriented research contexts: on the example of blockchain technology," Review of Managerial Science, Springer, vol. 19(1), pages 105-155, January.
    13. Choi, Yunwoo & Han, Sangpil & Lee, Changjun, 2024. "Exploring drivers of fintech adoption among elderly consumers," Technology in Society, Elsevier, vol. 78(C).
    14. Jorge de Andrés-Sánchez & Mario Arias-Oliva & Mar Souto-Romero & Miguel Llorens-Marín, 2025. "A Combined Importance-Performance Map and Necessary Condition Analysis of the Acceptance of Blockchain Use in Marketing: The Case of Loyalty Programmes," SAGE Open, , vol. 15(3), pages 21582440251, September.
    15. Li, Jun & He, Wei & Li, Guilong, 2024. "Natural resources, economic complexity and growth nexus: Role of digital governance in addressing the resource curse," Resources Policy, Elsevier, vol. 92(C).
    16. Drăgan, George Bogdan & Ben Arfi, Wissal & Tiberius, Victor & Ammari, Aymen & Khvatova, Tatiana, 2025. "Navigating the green wave: Understanding behavioral antecedents of sustainable cryptocurrency investment," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    17. Soo Jung Oh & Shufeng (Simon) Xiao & Byung Il Park & Taewoo Roh, 2025. "Coping or threat? Unraveling the mechanisms enabling user acceptance of blockchain technologies," Information Technology and Management, Springer, vol. 26(2), pages 219-233, June.
    18. Layla Hajr & Suzan Katamoura & Abdulrahman Mirza, 2023. "Bitcoin Cryptocurrency and Electronic Commerce in Saudi Arabia," SAGE Open, , vol. 13(4), pages 21582440231, December.
    19. K. Kajol & Srijanani Devarakonda & Ranjit Singh & H. Kent Baker, 2025. "Drivers influencing the adoption of cryptocurrency: a social network analysis approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-25, December.
    20. Tianyang Huang & Gang Wang & Chiwu Huang, 2024. "What promotes the mobile payment behavior of the elderly?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4387-:d:1399576. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.