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Net valence analysis of iris recognition technology-based FinTech

Author

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  • Mutaz M. Al-Debei

    (Al-Ahliyya Amman University
    The University of Jordan)

  • Omar Hujran

    (United Arab Emirates University)

  • Ahmad Samed Al-Adwan

    (Al-Ahliyya Amman University)

Abstract

Iris recognition technology (IRT)-based authentication is a biometric financial technology (FinTech) application used to automate user recognition and verification. In addition to being a controversial technology with various facilitators and inhibitors, the adoption of IRT-based FinTech is driven by contextual factors, such as customer perceptions, deployed biometric technology, and financial transaction settings. Due to its controversial and contextual properties, analyzing IRT-based FinTech acceptance is challenging. This study uses a net valence framework to investigate the salient positive and negative factors influencing the intention to use IRT-based FinTech in automated teller machines (ATMs) in Jordan. This study is pertinent because there is a dearth of research on IRT-based FinTech in the relevant literature; most previous research has taken purely engineering and technical approaches. Furthermore, despite considerable investments by banks and other financial institutions in this FinTech, target user adoption is minimal, and only 6% of Jordan’s ATM transactions are currently IRT-enabled. This study employs mixed methods. In the first qualitative study, 17 Jordanian customers were interviewed regarding the benefits and risks of IRT-based FinTech in ATMs. Content analyses determined the most important concepts or themes. The advantages include financial security, convenience, and FinTech-enabled hygiene, whereas the concerns include performance, financial, privacy, and physical risks. The research model is constructed based on the qualitative study and theoretical underpinnings, wherein 631 Jordanian bank customers with active ATM accounts were surveyed to validate the research model. The findings indicate that IRT-based FinTech usage in ATMs is proportional to its perceived value. In descending order of effect, financial security, FinTech-enabled hygiene, and convenience benefits positively impact perceived value. Privacy, financial, and physical risks have negative impacts on perceived value, whereas performance risk has no effect. This study contributes to the relatively untapped domain of biometric technology in information systems, with important theoretical and practical implications.

Suggested Citation

  • Mutaz M. Al-Debei & Omar Hujran & Ahmad Samed Al-Adwan, 2024. "Net valence analysis of iris recognition technology-based FinTech," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-47, December.
  • Handle: RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-023-00509-y
    DOI: 10.1186/s40854-023-00509-y
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    as
    1. Shankar, Amit & Rishi, Bikramjit, 2020. "Convenience matter in mobile banking adoption intention?," Australasian marketing journal, Elsevier, vol. 28(4), pages 273-285.
    2. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & Sebastián Molinillo & Elena Higueras-Castillo, 2022. "Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Hossain, Mohammad Alamgir & Dwivedi, Yogesh K., 2014. "What improves citizens’ privacy perceptions toward RFID technology? A cross-country investigation using mixed method approach," International Journal of Information Management, Elsevier, vol. 34(6), pages 711-719.
    5. Gianluca Elia & Valeria Stefanelli & Greta Benedetta Ferilli, 2022. "Investigating the role of Fintech in the banking industry: what do we know?," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 26(5), pages 1365-1393, March.
    6. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    7. Albanna, Hanaa & Alalwan, Ali Abdallah & Al-Emran, Mostafa, 2022. "An integrated model for using social media applications in non-profit organizations," International Journal of Information Management, Elsevier, vol. 63(C).
    8. Jan-Michael Becker & Christian Ringle & Marko Sarstedt & Franziska Völckner, 2015. "How collinearity affects mixture regression results," Marketing Letters, Springer, vol. 26(4), pages 643-659, December.
    9. Sookeun Byun & Sang-Eun Byun, 2013. "Exploring perceptions toward biometric technology in service encounters: a comparison of current users and potential adopters," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(3), pages 217-230.
    10. Peter, J Paul & Tarpey, Lawrence X, Sr, 1975. "A Comparative Analysis of Three Consumer Decision Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(1), pages 29-37, June.
    11. Roy, Sanjit Kumar & Shekhar, Vaibhav & Lassar, Walfried M. & Chen, Tom, 2018. "Customer engagement behaviors: The role of service convenience, fairness and quality," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 293-304.
    12. Quoc Trung Pham & Xuan Phuc Tran & Sanjay Misra & Rytis Maskeliūnas & Robertas Damaševičius, 2018. "Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    13. Eric J. Johnson & John W. Payne, 1985. "Effort and Accuracy in Choice," Management Science, INFORMS, vol. 31(4), pages 395-414, April.
    14. Michael Breward & Khaled Hassanein & Milena Head, 2017. "Understanding Consumers’ Attitudes Toward Controversial Information Technologies: A Contextualization Approach," Information Systems Research, INFORMS, vol. 28(4), pages 760-774, December.
    15. Anol Bhattacherjee & Neset Hikmet, 2007. "Physicians' resistance toward healthcare information technology: a theoretical model and empirical test," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(6), pages 725-737, December.
    16. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P. & Algharabat, Raed, 2018. "Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 125-138.
    17. Tsai, Juin-Ming & Cheng, Min-Jhih & Tsai, Her-Her & Hung, Shiu-Wan & Chen, Ya-Ling, 2019. "Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption," International Journal of Information Management, Elsevier, vol. 49(C), pages 34-44.
    18. Edward Shih-Tse Wang & Ruenn-Lien Lin, 2017. "Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(1), pages 2-10, January.
    19. Grewal, Dhruv & Gotlieb, Jerry & Marmorstein, Howard, 1994. "The Moderating Effects of Message Framing and," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 145-153, June.
    20. Deepa Mangala & Lalita Soni, 2022. "A systematic literature review on frauds in banking sector," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 30(1), pages 285-301, January.
    21. 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.
    22. Murinde, Victor & Rizopoulos, Efthymios & Zachariadis, Markos, 2022. "The impact of the FinTech revolution on the future of banking: Opportunities and risks," International Review of Financial Analysis, Elsevier, vol. 81(C).
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