IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4387-d1399576.html
   My bibliography  Save this article

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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Hamed Taherdoost, 2022. "A Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications," Post-Print hal-03741851, HAL.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    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," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Balzarova, Michaela & Dyer, Celia & Falta, Michael, 2022. "Perceptions of blockchain readiness for fairtrade programmes," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    7. 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.
    8. Layla Hajr & Suzan Katamoura & Abdulrahman Mirza, 2023. "Bitcoin Cryptocurrency and Electronic Commerce in Saudi Arabia," SAGE Open, , vol. 13(4), pages 21582440231, December.
    9. Ammar AL-Ashmori & Shuib Bin Basri & P. D. D. Dominic & Luiz Fernando Capretz & Amgad Muneer & Abdullateef Oluwagbemiga Balogun & Abdul Rehman Gilal & Rao Faizan Ali, 2022. "Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
    10. Ikramuddin Junejo & Dr. Taskeen Zahra Buriro & Muhammad Sufyan Ramish & Dr. Syed Salahuddin, 2024. "Impact of Perceived Ease of Use and Perceived Usefulness on Behavioral Intention to Use Blockchain in Food Supply Firms: The Mediating Role of Employee Attitude," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 174-180.
    11. Simon Wong & John Kun Woon Yeung & Yui-Yip Lau & Tomoya Kawasaki & Raymond Kwong, 2024. "A Critical Literature Review on Blockchain Technology Adoption in Supply Chains," Sustainability, MDPI, vol. 16(12), pages 1-40, June.
    12. Jorge Andrés-Sánchez & Laura González-Vila Puchades & Mario Arias-Oliva, 2023. "Factors influencing policyholders' acceptance of life settlements: a technology acceptance model," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 941-967, October.
    13. Peter Sasitharan Gandhi Maniam & Catherine Prentice & Anne-Marie Sassenberg & Jeffrey Soar, 2023. "Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector," Logistics, MDPI, vol. 7(3), pages 1-19, September.
    14. Luiz Philipi Calegari & Guilherme Luz Tortorella & Diego Castro Fettermann, 2023. "Getting Connected to M-Health Technologies through a Meta-Analysis," IJERPH, MDPI, vol. 20(5), pages 1-33, February.
    15. Ammar AL-Ashmori & Gunasekar Thangarasu & P. D. D. Dominic & Al-Baraa Abdulrahman Al-Mekhlafi, 2023. "A Readiness Model and Factors Influencing Blockchain Adoption in Malaysia’s Software Sector: A Survey Study," Sustainability, MDPI, vol. 15(16), pages 1-28, August.

    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 (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.