IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16777-d1002909.html
   My bibliography  Save this article

OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor

Author

Listed:
  • Sameena Naaz

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Sarah Ali Khan

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Farheen Siddiqui

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Shahab Saquib Sohail

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Dag Øivind Madsen

    (USN School of Business, University of South-Eastern Norway, 3511 Hønefoss, Norway)

  • Asad Ahmad

    (Department of Management, School of Management and Business Studies, Jamia Hamdard, New Delhi 110062, India)

Abstract

Body odor is a biometric feature unique to each individual, and it can be used for authentication. However, decision makers must learn about the users’ level of acceptance of this technology, as well as their thoughts on the system’s features and procedures. In this study, a technology acceptance model (TAM) for body-odor-based biometric techniques named OdorTAM was proposed and validated. An English language questionnaire was developed in a web-based, easy-to-read format on Google Forms. The survey consisted of 19 questions, and 150 responses were received. Statistical analysis of the responses was carried out, and it was found that all the hypotheses were supported. Therefore, the OdorTAM model appears to be satisfactory. To this end, we posit that a body-odor-based biometric technique can be one of the alternatives for authentication, and it can also be used along with some other techniques for improved security. The study contributes to the literature on consumers’ understanding of biometric technologies, in particular odor detection, which has received relatively less attention in extant research.

Suggested Citation

  • Sameena Naaz & Sarah Ali Khan & Farheen Siddiqui & Shahab Saquib Sohail & Dag Øivind Madsen & Asad Ahmad, 2022. "OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16777-:d:1002909
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16777/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/24/16777/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hyun Byun & Weisheng Chiu & Jung-sup Bae, 2018. "Exploring the Adoption of Sports Brand Apps: An Application of the Modified Technology Acceptance Model," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 9(1), pages 52-65, January.
    2. Caroline Lancelot Miltgen & Ales Popovic & Tiago Oliveira, 2013. "Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context," Post-Print hal-01116141, HAL.
    3. Mauricio A. Ramírez-Moreno & Patricio Carrillo-Tijerina & Milton Osiel Candela-Leal & Myriam Alanis-Espinosa & Juan Carlos Tudón-Martínez & Armando Roman-Flores & Ricardo A. Ramírez-Mendoza & Jorge de, 2021. "Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    4. Evon M. Abu-Taieh & Issam AlHadid & Ra’ed Masa’deh & Rami S. Alkhawaldeh & Sufian Khwaldeh & Ala’aldin Alrowwad, 2022. "Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM," IJERPH, MDPI, vol. 19(21), pages 1-27, October.
    5. Qihui Xie, 2022. "The Factors Influencing Chinese University Teachers’ Intentions for Using the Micro-Lecture in the Post COVID-19 Era," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    6. Bo-Hyun Seong & Chang-Yu Hong, 2022. "When It Comes to Screen Golf and Baseball, What Do Participants Think?," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    7. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    8. Hyoyeon Ahn & Jihyun Ko, 2022. "The Effect of Olfactory Inhalation on KPGA Golfers’ Putting Performance, Postural Stability and Heart Rate," IJERPH, MDPI, vol. 19(19), pages 1-10, October.
    9. Itsuki Kageyama & Nobuki Hashiguchi & Jianfei Cao & Makoto Niwa & Yeongjoo Lim & Masanori Tsutsumi & Jiakan Yu & Shintaro Sengoku & Soichiro Okamoto & Seiji Hashimoto & Kota Kodama, 2022. "Determination of Waste Management Workers’ Physical and Psychological Load: A Cross-Sectional Study Using Biometric Data," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    10. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, 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. Ji-Hye Kim & Eungoo Kang, 2023. "An Empirical Research: Incorporation of User Innovativeness into TAM and UTAUT in Adopting a Golf App," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    2. Salvador Angosto & Jerónimo García-Fernández & Irena Valantine & Moisés Grimaldi-Puyana, 2020. "The Intention to Use Fitness and Physical Activity Apps: A Systematic Review," Sustainability, MDPI, vol. 12(16), pages 1-25, August.
    3. Yan Mandy Dang & Yulei Gavin Zhang & James Morgan, 0. "Integrating switching costs to information systems adoption: An empirical study on learning management systems," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    4. Amit Shankar & Biplab Datta, 2018. "Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective," Global Business Review, International Management Institute, vol. 19(3_suppl), pages 72-89, June.
    5. Chandan Kumar Behera & Ritika Dadra, 2024. "Understanding young consumers’ attitude formation for new-age fintech credit products: an SOR framework perspective," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 964-978, September.
    6. repec:zbw:bofrdp:2006_032 is not listed on IDEAS
    7. Younès Boughzala & Inès Bouzid & Imed Boughzala, 2012. "Les déterminants de l'adoption de l'e-achat public en France : une étude qualitative auprès des praticiens," Post-Print hal-02408949, HAL.
    8. Lee, Changju & Bae, Bumjoon & Lee, Yu Lim & Pak, Tae-Young, 2023. "Societal acceptance of urban air mobility based on the technology adoption framework," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Deli Yuan & Muhammad Khalilur Rahman & Md. Abu Issa Gazi & Md. Atikur Rahaman & Mohammad Mainul Hossain & Shaharin Akter, 2021. "Analyzing of User Attitudes Toward Intention to Use Social Media for Learning," SAGE Open, , vol. 11(4), pages 21582440211, November.
    10. Salvador Angosto & Jerónimo García-Fernández & Moisés Grimaldi-Puyana, 2023. "A systematic review of intention to use fitness apps (2020–2023)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    11. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    12. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    13. Seif Obeid Al-Shbiel & Muhannad Akram Ahmad, 2016. "A Theoretical Discussion of Electronic Banking in Jordan by Integrating Technology Acceptance Model and Theory of Planned Behavior," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 272-284, July.
    14. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    15. Kim, Juran & Lee, Ki Hoon, 2019. "Influence of integration on interactivity in social media luxury brand communities," Journal of Business Research, Elsevier, vol. 99(C), pages 422-429.
    16. Park, Jungkun & Yun, Jeewoo & Chang, Woondeog, 2024. "Intention to adopt services by AI avatar: A protection motivation theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    17. Marzieh Soleimani, 2022. "Buyers' trust and mistrust in e-commerce platforms: a synthesizing literature review," Information Systems and e-Business Management, Springer, vol. 20(1), pages 57-78, March.
    18. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits : survey in connection with the research project "Finnish payment habits 2010"," Research Discussion Papers 32/2006, Bank of Finland.
    19. Zeleke Siraye Asnakew, 2020. "Customers’ Continuance Intention to Use Mobile Banking: Development and Testing of an Integrated Model," The Review of Socionetwork Strategies, Springer, vol. 14(1), pages 123-146, April.
    20. Julian Schuir & Frank Teuteberg, 2021. "Understanding augmented reality adoption trade-offs in production environments from the perspective of future employees: A choice-based conjoint study," Information Systems and e-Business Management, Springer, vol. 19(3), pages 1039-1085, September.
    21. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.

    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:jijerp:v:19:y:2022:i:24:p:16777-:d:1002909. 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.