IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3092-d1062093.html
   My bibliography  Save this article

User Acceptance Factors Related to Biometric Recognition Technologies of Examination Attendance in Higher Education: TAM Model

Author

Listed:
  • Meennapa Rukhiran

    (Faculty of Social Technology, Rajamangala University of Technology Tawan-OK, Chanthaburi 22210, Thailand)

  • Sethapong Wong-In

    (College of Digital Innovation Technology (DIT), Rangsit University, Pathum Thani 12000, Thailand)

  • Paniti Netinant

    (College of Digital Innovation Technology (DIT), Rangsit University, Pathum Thani 12000, Thailand)

Abstract

Identity recognition is influenced at all educational levels by biometric technology. The invention of facial recognition technology has added new efficiencies to the traditional method of tracking student examination attendance. This study aims to determine whether biometric recognition technologies could be utilized to enhance undergraduate examination attendance systems. The study examined the perceptions of first-year college students regarding the system’s use of face recognition technologies. Based on the proposed framework, experimental results were obtained by developing and deploying unimodal and multimodal face recognition methods. Using a quasi-practical design with sample groups, undergraduate students’ perceptions of traditional and biometric examination attendance were compared. Adopting the Theory for Reasoned Action and the Technology Acceptance Model, a questionnaire was distributed and analyzed to determine perception factors. The findings reveal that perceived ease of use, and trust and security significantly impact perceived usefulness. It was discovered that perceived usefulness significantly affects behavioral intention to use a system. According to the research findings, multimodal biometric recognition receives significantly more positive ratings than unimodal biometric recognition. This study proposes that universities utilize biometric technology, particularly facial recognition, to assess users’ acceptance of the system.

Suggested Citation

  • Meennapa Rukhiran & Sethapong Wong-In & Paniti Netinant, 2023. "User Acceptance Factors Related to Biometric Recognition Technologies of Examination Attendance in Higher Education: TAM Model," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3092-:d:1062093
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3092/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3092/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Meennapa Rukhiran & Napasorn Phaokla & Paniti Netinant, 2022. "Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Jen Sheng Wang, 2021. "Exploring biometric identification in FinTech applications based on the modified TAM," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
    4. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    5. Huang, Yung-Chuan, 2023. "Integrated concepts of the UTAUT and TPB in virtual reality behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    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. Meennapa Rukhiran & Chwin Sutanthavibul & Songwut Boonsong & Paniti Netinant, 2023. "IoT-Based Mushroom Cultivation System with Solar Renewable Energy Integration: Assessing the Sustainable Impact of the Yield and Quality," Sustainability, MDPI, vol. 15(18), pages 1-33, September.

    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. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    2. Ricardo Figueiredo Belchior & Roisin Lyons, 2021. "Explaining entrepreneurial intentions, nascent entrepreneurial behavior and new business creation with social cognitive career theory – a 5-year longitudinal analysis," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1945-1972, December.
    3. Adán Acosta-Banda & Verónica Aguilar-Esteva & Miguel Patiño Ortiz & Julián Patiño Ortiz, 2021. "Construction and Validity of an Instrument to Evaluate Renewable Energies and Energy Sustainability Perceptions for Social Consciousness," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    4. Dima Dajani & Saad G. Yaseen & Ihab El Qirem & Hanadi Sa’d, 2022. "Predictors of Intention to Use a Sustainable Cloud-Based Quality Management System among Academics in Jordan," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    5. Érika Martins Silva Ramos & Cecilia Jakobsson Bergstad, 2021. "The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    6. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    7. Siyal, Abdul Waheed & Chen, Hongzhuan & Jamal Shah, Syed & Shahzad, Fakhar & Bano, Shaher, 2024. "Customization at a glance: Investigating consumer experiences in mobile commerce applications," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    8. Traikova, Diana, 2013. "Determinants of non-farm entrepreneurial intentions in a transitional context: Evidence from rural Bulgaria," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 72, number 72.
    9. Sirkka Schukat & Heinke Heise, 2021. "Towards an Understanding of the Behavioral Intentions and Actual Use of Smart Products among German Farmers," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    10. Traikova, Diana & Mollers, Judith & Buchenrieder, Gertrud, 2012. "How Farmers Become Entrepreneurs - Prenatal Diagnostic of Rural Firms in Bulgaria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126816, International Association of Agricultural Economists.
    11. Meennapa Rukhiran & Napasorn Phaokla & Paniti Netinant, 2022. "Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    12. Engelken, Maximilian & Römer, Benedikt & Drescher, Marcus & Welpe, Isabell, 2016. "Transforming the energy system: Why municipalities strive for energy self-sufficiency," Energy Policy, Elsevier, vol. 98(C), pages 365-377.
    13. 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.
    14. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    15. Yoon, Junghyun & Lee, Hee Yong & Dinwoodie, John, 2015. "Competitiveness of container terminal operating companies in South Korea and the industry–university–government network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 1-14.
    16. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    17. Usunier, Jean-Claude, 1998. "Oral pleasure and expatriate satisfaction: an empirical approach," International Business Review, Elsevier, vol. 7(1), pages 89-110, February.
    18. Abdul Kadar Muhammad Masum & Md Abul Kalam Azad & Loo-See Beh, 2015. "Determinants of Academics' Job Satisfaction: Empirical Evidence from Private Universities in Bangladesh," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    19. Amolo Elvis Juma Amolo & Charles Mallans Rambo & Charles Misiko Wafula, 2024. "Hedging Derivatives and Performance of Renewable Energy Projects in Kenya," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(8), pages 619-630, August.
    20. Sharma, Vivek & Bhat, Dada Ab Rouf, 2020. "An empirical study exploring the relationship among human capital innovation, service innovation, competitive advantage and employee productivity in hospitality services," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 1-14..

    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:15:y:2023:i:4:p:3092-:d:1062093. 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.