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Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models

Author

Listed:
  • Irina Dijmãrescu

    (Grigore Alexandrescu Children’s Emergency Hospital, Romania)

  • Mariana Iatagan

    (Spiru Haret University, Romania)

  • Iulian Hurloiu

    (Spiru Haret University, Romania)

  • Marinela Geamãnu

    (Spiru Haret University, Romania)

  • Ciprian Rusescu

    (Bucharest University of Economic Studies, Romania)

  • Adrian Dijmãrescu

    (University of Medicine and Pharmacy ”Carol Davila” Bucharest, Romania)

Abstract

Research background: With growing evidence of biometric identification techniques as authentication, there is a pivotal need for comprehending contactless payments by use of facial recognition algorithms in retail, restaurant, and hotel business models. Purpose of the article: In this research, previous findings were cumulated showing that harnessing facial recognition payment applications as software-based contactless biometric algorithms results in remarkably qualitative enhancement in purchasing experience. Methods: Throughout March and November 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms including “facial recognition payment technology”, “facial recognition payment system”, “facial recognition payment application”, “face recognition-based payment service”, “facial authentication for mobile payment transactions”, and “contactless payment through facial recognition algorithms.” As the analyzed research was published between 2017 and 2021, only 187 articles satisfied the eligibility criteria. By removing questionable or unclear findings (limited/nonessential data), results unsubstantiated by replication, too general content, or having quite similar titles, 38, mainly empirical, sources were selected. The Systematic Review Data Repository was harnessed, a software program for the gathering, processing, and analysis of data for our systematic review. The quality of the selected scholarly sources was assessed by employing the Mixed Method Appraisal Tool. Findings & value added: Harnessing facial recognition payment applications as software-based contactless biometric algorithms results in remarkably qualitative enhancement in purchasing experience. Subsequent attention should be directed to whether perceived value and trust shape customers’ adoption of biometric recognition payment devices.

Suggested Citation

  • Irina Dijmãrescu & Mariana Iatagan & Iulian Hurloiu & Marinela Geamãnu & Ciprian Rusescu & Adrian Dijmãrescu, 2022. "Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 225-250, March.
    • Handle: RePEc:pes:ieroec:v:13:y:2022:i:1:p:225-250
    DOI: 10.24136/oc.2022.007
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    References listed on IDEAS

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    1. Elvira Nica & Gheorghe H. Popescu & Milos Poliak & Tomas Kliestik & Oana-Matilda Sabie, 2023. "Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks," Mathematics, MDPI, vol. 11(9), pages 1-25, April.

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    More about this item

    Keywords

    neuromanagement decision making; facial recognition; biometric authentication; mobile payment technology; retail; restaurant; and hotel business;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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