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

Authors

DOI:

https://doi.org/10.24136/oc.2022.007

Keywords:

neuromanagement decision making, facial recognition, biometric authentication, mobile payment technology, retail, restaurant, hotel business

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.

Downloads

Download data is not yet available.

References

Adams, D., & Krulicky, T. (2021). Artificial intelligence-driven big data analytics, real-time sensor networks, and product decision-making information systems in sustainable manufacturing Internet of Things. Economics, Management, and Financial Markets, 16(3), 81?93. doi: 10.22381/emfm16320215.

DOI: https://doi.org/10.22381/emfm16320215
View in Google Scholar

Adams, D., Novak, A., Kliestik, T., & Potcovaru, A.-M. (2021). Sensor-based big data applications and environmentally sustainable urban development in Internet of Things-enabled smart cities. Geopolitics, History, and International Relations, 13(1), 108?118. doi: 10.22381/GHIR131202110.

DOI: https://doi.org/10.22381/GHIR131202110
View in Google Scholar

Aljanabi, M. A., Hussain, Z. M., & Lu, S. F. (2018). An entropy-histogram approach for image similarity and face recognition. Mathematical Problems in Engineering, 9801308. doi: 10.1155/2018/9801308.

DOI: https://doi.org/10.1155/2018/9801308
View in Google Scholar

Andrejevic, M., & Selwyn, N. (2020). Facial recognition technology in schools: critical questions and concerns. Learning, Media and Technology, 45, 115?128. doi: 10.1080/17439884.2020.1686014.

DOI: https://doi.org/10.1080/17439884.2020.1686014
View in Google Scholar

Androniceanu, A. (2019). Social responsibility, an essential strategic option for a sustainable development in the field of bio-economy. Amfiteatru Economic, 21(52), 503?519. doi: 10.24818/EA/2019/52/503.

DOI: https://doi.org/10.24818/EA/2019/52/503
View in Google Scholar

Androniceanu, A., Kinnunen, J., & Georgescu, I. (2020). E-Government clusters in the EU based on the Gaussian mixture models. Administratie si Management Public, 35, 6?20. doi: 10.24818/amp/2020.35-01.

DOI: https://doi.org/10.24818/amp/2020.35-01
View in Google Scholar

Androniceanu, A. (2021). Transparency in public administration as a challenge for a good democratic governance. Administratie si Management Public, 36, 149?164. doi: 10.24818/amp/2021.36-09.

DOI: https://doi.org/10.24818/amp/2021.36-09
View in Google Scholar

Bacalu, F. (2021). Digital policing tools as social control technologies: data-driven predictive algorithms, automated facial recognition surveillance, and law enforcement biometrics. Analysis and Metaphysics, 20, 74?88. doi: 10.22381/a m2020215.

DOI: https://doi.org/10.22381/AM2020215
View in Google Scholar

Bailey, L. (2021). The digital fabric of reproductive technologies: fertility, pregnancy, and menstrual cycle tracking apps. Journal of Research in Gender Studies, 11(2), 126?138. doi: 10.22381/JRGS11220219.

DOI: https://doi.org/10.22381/JRGS11220219
View in Google Scholar

Balica, R. (2019). Automated data analysis in organizations: sensory algorithmic devices, intrusive workplace monitoring, and employee surveillance. Psychosociological Issues in Human Resource Management, 7(2), 61?66. doi: 10.22381/PIHRM72201910.

DOI: https://doi.org/10.22381/PIHRM72201910
View in Google Scholar

Barbu, C. M., Florea, D. L., Dabija, D. C., & Barbu, M. C. R. (2021). Customer experience in fintech. Journal of Theoretical and Applied Electronic Commerce Research, 16, 1415?1433. doi: 10.3390/jtaer16050080.

DOI: https://doi.org/10.3390/jtaer16050080
View in Google Scholar

Bennett, A. (2021). Autonomous vehicle driving algorithms and smart mobility technologies in big data-driven transportation planning and engineering. Contemporary Readings in Law and Social Justice, 13(1), 20?29. doi: 10.2238 1/CRLSJ13120212.

DOI: https://doi.org/10.22381/CRLSJ13120212
View in Google Scholar

Birtus, M., & Lăzăroiu, G. (2021). The neurobehavioral economics of the COVID-19 pandemic: Consumer cognition, perception, sentiment, choice, and decision-making. Analysis and Metaphysics, 20, 89?101. doi: 10.22381/am2020216.

DOI: https://doi.org/10.22381/AM2020216
View in Google Scholar

Blackburn, E., & Pera, A. (2021). Autonomous vehicle interaction control software, big geospatial data analytics, and networked driverless technologies in smart sustainable urban transport systems. Contemporary Readings in Law and Social Justice, 13(2), 121?134. doi: 10.22381/CRLSJ13220219.

DOI: https://doi.org/10.22381/CRLSJ13220219
View in Google Scholar

Blake, R., & Frajtova Michalikova, K. (2021). Deep learning-based sensing technologies, artificial intelligence-based decision-making algorithms, and big geospatial data analytics in cognitive Internet of Things. Analysis and Metaphysics, 20, 159?173. doi: 10.22381/am20202111.

DOI: https://doi.org/10.22381/AM20202111
View in Google Scholar

Blake, R., Michalkova, L., & Bilan, Y. (2021). Robotic wireless sensor networks, industrial artificial intelligence, and deep learning-assisted smart process planning in sustainable cyber-physical manufacturing systems. Journal of Self-Governance and Management Economics, 9(4), 48?61. doi: 10.22381/jsme 9420214.

DOI: https://doi.org/10.22381/jsme9420214
View in Google Scholar

Burke, S., & Zvarikova, K. (2021). Urban Internet of Things systems and data monitoring algorithms in smart and environmentally sustainable cities. Geopolitics, History, and International Relations, 13(2), 135?148. doi: 10.2238 1/GHIR132202110.

DOI: https://doi.org/10.22381/GHIR132202110
View in Google Scholar

Campbell, E., Novak, A., & Novak Sedlackova, A. (2021). Algorithm-driven sensing devices and connected vehicle data in smart transportation networks. Contemporary Readings in Law and Social Justice, 13(1), 91?100. doi: 10.223 81/CRLSJ13120219.

DOI: https://doi.org/10.22381/CRLSJ13120219
View in Google Scholar

Cham, T.-H., Cheah, J.-H., Cheng, B.-L., & Lim, X.-J. (2021). I am too old for this! Barriers contributing to the non-adoption of mobile payment. International Journal of Bank Marketing. Advance online publication. doi: 10.1108/IJBM-06-2021-0283.

DOI: https://doi.org/10.1108/IJBM-06-2021-0283
View in Google Scholar

Chapman, D. (2021). Environmentally sustainable urban development and Internet of Things connected sensors in cognitive smart cities. Geopolitics, History, and International Relations, 13(2), 51?64. doi: 10.22381/GHIR13220214.

DOI: https://doi.org/10.22381/GHIR13220214
View in Google Scholar

Church, K. W. (2018). Emerging trends: artificial intelligence, China and my new job at Baidu. Natural Language Engineering, 24, 641?647. doi: 10.1017/S13 51324918000189.

DOI: https://doi.org/10.1017/S1351324918000189
View in Google Scholar

Ciftci, O., Choi, E.-K. (C.), & Berezina, K. (2020). Customer intention to use facial recognition technology at quick-service restaurants. e-Review of Tourism Research, 17, 753?763.
View in Google Scholar

Ciftci, O., Choi, E.-K. (C.), & Berezina, K. (2021). Let?s face it: are customers ready for facial recognition technology at quick-service restaurants? International Journal of Hospitality Management, 95, 102941. doi: 10.1016/j.i jhm.2021.102941.

DOI: https://doi.org/10.1016/j.ijhm.2021.102941
View in Google Scholar

Ciobanu, A, Androniceanu, A., & Lăzăroiu, G. (2019). An integrated psycho-sociological perspective on public employees? motivation and performance. Frontiers in Psychology, 10, 36. doi: 10.3389/fpsyg.2019.00036.

DOI: https://doi.org/10.3389/fpsyg.2019.00036
View in Google Scholar

Dang, V. T., Nguyen, N., Nguyen, H. V., Nguyen, H., Van Huy, L., & Tran, V. T. (2021). Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes. International Journal of Bank Marketing. Advance online publication. doi: 10.1108/IJBM-04-2021-0135.

DOI: https://doi.org/10.1108/IJBM-04-2021-0135
View in Google Scholar

Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: factors influencing behavioral intentions of ?Generation X? in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. doi: 10.1016/j.jbef.2021.100574.

DOI: https://doi.org/10.1016/j.jbef.2021.100574
View in Google Scholar

De Keyser, A., Bart, Y., Gu, X., Liu, S. Q., Robinson, S. G., & Kannan, P. K. (2021). Opportunities and challenges of using biometrics for business: Developing a research agenda. Journal of Business Research, 136, 52?62. doi: 10.1016/j.jbusres.2021.07.028.

DOI: https://doi.org/10.1016/j.jbusres.2021.07.028
View in Google Scholar

Du, M. (2018). Mobile payment recognition technology based on face detection algorithm. Concurrency and Computation: Practice and Experience, 30, e4655. doi: 10.1002/cpe.4655.

DOI: https://doi.org/10.1002/cpe.4655
View in Google Scholar

Elloumi, W., Cauchois, C., & Pasqual, C. (2021). Will face recognition revolutionise the shopping experience? Biometric Technology Today, 3, 8?11. doi: 10.1016/S0969-4765(21)00036-9.

DOI: https://doi.org/10.1016/S0969-4765(21)00036-9
View in Google Scholar

Feng, W., Zhou, J., Dan, C., Peiyan, Z., & Li, Z. (2017). Research on mobile commerce payment management based on the face biometric authentication. International Journal of Mobile Communications, 15, 278?305.

DOI: https://doi.org/10.1504/IJMC.2017.083463
View in Google Scholar

Ford, C. (2021). Technologically-mediated emotional and social experiences: intimate data sharing by algorithm-based fertility apps. Journal of Research in Gender Studies, 11(2), 87?99. doi: 10.22381/JRGS11220216.

DOI: https://doi.org/10.22381/JRGS11220216
View in Google Scholar

Galbraith, A., & Podhorska, I. (2021). Artificial intelligence data-driven Internet of Things systems, robotic wireless sensor networks, and sustainable organizational performance in cyber-physical smart manufacturing. Economics, Management, and Financial Markets, 16(4), 56?69. doi: 10.22381/emfm16420 214.

DOI: https://doi.org/10.22381/emfm16420214
View in Google Scholar

Gibson, P., & Macek, J. (2021). Sustainable industrial big data, automated production processes, and cyber-physical system-based manufacturing in smart networked factories. Journal of Self-Governance and Management Economics, 9(3), 22?34. doi: 10.22381/jsme9320212.

DOI: https://doi.org/10.22381/jsme9320212
View in Google Scholar

Griffin, K., & Krastev, V. (2021). Smart traffic planning and analytics, autonomous mobility technologies, and algorithm-driven sensing devices in urban transportation systems. Contemporary Readings in Law and Social Justice, 13(2), 65?78. doi: 10.22381/CRLSJ13220215.

DOI: https://doi.org/10.22381/CRLSJ13220215
View in Google Scholar

Hamilton, S. (2021). Real-time big data analytics, sustainable Industry 4.0 wireless networks, and Internet of Things-based decision support systems in cyber-physical smart manufacturing. Economics, Management, and Financial Markets, 16(2), 84?94. doi: 10.22381/emfm16220215.

DOI: https://doi.org/10.22381/emfm16220215
View in Google Scholar

Haseeb, M., Hussain, H. I., Kot, S., Androniceanu, A., & Jermsittiparsert, K. (2019). Role of social and technological challenges in achieving a sustainable competitive advantage and sustainable business performance. Sustainability, 11(14), 3811. doi: 10.3390/su11143811.

DOI: https://doi.org/10.3390/su11143811
View in Google Scholar

Hurley, D., & Popescu, G. H. (2021). Medical big data and wearable Internet of Things healthcare systems in remotely monitoring and caring for confirmed or suspected COVID-19 patients. American Journal of Medical Research, 8(2), 78?90. doi: 10.22381/ajmr8220216.

DOI: https://doi.org/10.22381/ajmr8220216
View in Google Scholar

Ionescu, L. (2020). Digital data aggregation, analysis, and infrastructures in fintech operations. Review of Contemporary Philosophy, 19, 92?98. doi: 10.22381/RC P19202010.

DOI: https://doi.org/10.22381/RCP19202010
View in Google Scholar

Johnson, E., & Nica, E. (2021). Connected vehicle technologies, autonomous driving perception algorithms, and smart sustainable urban mobility behaviors in networked transport systems. Contemporary Readings in Law and Social Justice, 13(2), 37?50. doi: 10.22381/CRLSJ13220213.

DOI: https://doi.org/10.22381/CRLSJ13220213
View in Google Scholar

Kassick, D. (2019). Workforce analytics and human resource metrics: algorithmically managed workers, tracking and surveillance technologies, and wearable biological measuring devices. Psychosociological Issues in Human Resource Management, 7(2), 55?60. doi: 10.22381/PIHRM7220199.

DOI: https://doi.org/10.22381/PIHRM7220199
View in Google Scholar

Kim, M., Kim, S., & Kim, J. (2019). Can mobile and biometric payments replace cards in the Korean offline payments market? Consumer preference analysis for payment systems using a discrete choice model. Telematics and Informatics, 38, 46?58. doi: 10.1016/j.tele.2019.02.003.

DOI: https://doi.org/10.1016/j.tele.2019.02.003
View in Google Scholar

Konhäusner, P., Shang, B., & Dabija, D.-C. (2021). Application of the 4Es in online crowdfunding platforms: a comparative perspective of Germany and China. Journal of Risk and Financial Management, 14, 49. doi: 10.3390/ jrfm14020049.

DOI: https://doi.org/10.3390/jrfm14020049
View in Google Scholar

Kostka, G., Steinacker, L., & Meckel, M. (2021). Between security and convenience: facial recognition technology in the eyes of citizens in China, Germany, the United Kingdom, and the United States. Public Understanding of Science. Advance online publication. doi: 10.1177/09636625211001555.

DOI: https://doi.org/10.1177/09636625211001555
View in Google Scholar

Kovacova, M., & Lăzăroiu, G. (2021). Sustainable organizational performance, cyber-physical production networks, and deep learning-assisted smart process planning in Industry 4.0-based manufacturing systems. Economics, Management, and Financial Markets, 16(3), 41?54. doi: 10.22381/emfm16320 212.
View in Google Scholar

Lai, X., & Rau, P.-L. P. (2021). Has facial recognition technology been misused? A public perception model of facial recognition scenarios. Computers in Human Behavior, 124, 106894. doi: 10.1016/j.chb.2021.106894.

DOI: https://doi.org/10.1016/j.chb.2021.106894
View in Google Scholar

Lau, A. (2020). New technologies used in COVID-19 for business survival: Insights from the Hotel Sector in China. Information Technology & Tourism, 22, 497?504. doi: 10.1007/s40558-020-00193-z.

DOI: https://doi.org/10.1007/s40558-020-00193-z
View in Google Scholar

Lăzăroiu, G., Kliestik, T., & Novak, A. (2021). Internet of Things smart devices, industrial artificial intelligence, and real-time sensor networks in sustainable cyber-physical production systems. Journal of Self-Governance and Management Economics, 9(1), 20?30. doi: 10.22381/jsme9120212.

DOI: https://doi.org/10.22381/jsme9120212
View in Google Scholar

Lăzăroiu, G., & Harrison, A. (2021). Internet of Things sensing infrastructures and data-driven planning technologies in smart sustainable city governance and management. Geopolitics, History, and International Relations, 13(2), 23?36. doi: 10.22381/GHIR13220212.

DOI: https://doi.org/10.22381/GHIR13220212
View in Google Scholar

Levy, K., & Barocas, S. (2018). Refractive surveillance: monitoring customers to manage workers. International Journal of Communication, 12, 1166?1188. doi: 1932?8036/20180005.
View in Google Scholar

Li, Y., Wang, Y., Hao, S., & Zhao, X. (2019). Intelligent terminal face spoofing detection algorithm based on deep belief network. Journal of Electronic Imaging, 28, 043024. doi: 10.1117/1.JEI.28.4.043024.

DOI: https://doi.org/10.1117/1.JEI.28.4.043024
View in Google Scholar

Liu, D., & Tu, W. (2021). Factors influencing consumers? adoptions of biometric recognition payment devices: combination of initial trust and UTAUT model. International Journal of Mobile Communications, 19, 345?363.

DOI: https://doi.org/10.1504/IJMC.2021.114324
View in Google Scholar

Liu, Y.-l., Yan, W., & Hu, B. (2021). Resistance to facial recognition payment in China: the influence of privacy-related factors. Telecommunications Policy, 45, 102155. doi: 10.1016/j.telpol.2021.102155.

DOI: https://doi.org/10.1016/j.telpol.2021.102155
View in Google Scholar

Lott, D. (2018). Biometrics: modernising customer authentication for financial services and payments. Journal of Payments Strategy & Systems, 12, 371?382.
View in Google Scholar

Mihăilă, R., & Brani?te, L. (2021). Digital semantics of beauty apps and filters: big data-driven facial retouching, aesthetic self-monitoring devices, and augmented reality-based body-enhancing technologies. Journal of Research in Gender Studies, 11(2), 100?112. doi: 10.22381/JRGS11220217.

DOI: https://doi.org/10.22381/JRGS11220217
View in Google Scholar

Mircică, N. (2020). Restoring public trust in digital platform operations: machine learning algorithmic structuring of social media content. Review of Contemporary Philosophy, 19, 85?91. doi: 10.22381/RCP1920209.

DOI: https://doi.org/10.22381/RCP1920209
View in Google Scholar

Mitchell, A. (2021). Autonomous vehicle algorithms, big geospatial data analytics, and interconnected sensor networks in urban transportation systems. Contemporary Readings in Law and Social Justice, 13(1), 50?59. doi: 10.2238 1/CRLSJ13120215.

DOI: https://doi.org/10.22381/CRLSJ13120215
View in Google Scholar

Mitchell, K., Grupac, M., & Zauskova, A. (2021). Ethical management and implementation of COVID-19 immunity passports and vaccination certificates: Lawfulness, fairness, and transparency. Linguistic and Philosophical Investigations, 20, 45?54. doi: 10.22381/LPI2020213.

DOI: https://doi.org/10.22381/LPI2020213
View in Google Scholar

Monajemi, M. (2018). Privacy regulation in the age of biometrics that deal with a new world order of information. University of Miami International and Comparative Law Review, 25, 371?408.
View in Google Scholar

Moriuchi, E. (2021). An empirical study of consumers? intention to use biometric facial recognition as a payment method. Psychology & Marketing. Advance online publication. doi: 10.1002/mar.21495.

DOI: https://doi.org/10.1002/mar.21495
View in Google Scholar

Morrison, M. (2021). The datafication of fertility and reproductive health: Menstrual cycle tracking apps and ovulation detection algorithms. Journal of Research in Gender Studies, 11(2), 139?151. doi: 10.22381/JRGS112202110.

DOI: https://doi.org/10.22381/JRGS112202110
View in Google Scholar

Morrison, M., & Lăzăroiu, G. (2021). Cognitive Internet of Medical Things, big healthcare data analytics, and artificial intelligence-based diagnostic algorithms during the COVID-19 pandemic. American Journal of Medical Research, 8(2), 23?36. doi: 10.22381/ajmr8220212.

DOI: https://doi.org/10.22381/ajmr8220212
View in Google Scholar

Nica, E., Miklencicova, R., & Kicova, E. (2019). Artificial intelligence-supported workplace decisions: big data algorithmic analytics, sensory and tracking technologies, and metabolism monitors. Psychosociological Issues in Human Resource Management, 7(2), 31?36. doi: 10.22381/PIHRM7220195.

DOI: https://doi.org/10.22381/PIHRM7220195
View in Google Scholar

Nica, E. (2021). Urban big data analytics and sustainable governance networks in integrated smart city planning and management. Geopolitics, History, and International Relations, 13(2), 93?106. doi: 10.22381/GHIR13220217.

DOI: https://doi.org/10.22381/GHIR13220217
View in Google Scholar

Nica, E., & Stehel, V. (2021). Internet of Things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable Industry 4.0. Journal of Self-Governance and Management Economics, 9(3), 35?47. doi: 10.22381/jsme9320213.

DOI: https://doi.org/10.22381/jsme9320213
View in Google Scholar

Nica, E., Stan, C. I., Lu?an (Petre), A. G., & Oa?a (Geambazi), R.-?. (2021). Internet of Things-based real-time production logistics, sustainable industrial value creation, and artificial intelligence-driven big data analytics in cyber-physical smart manufacturing systems. Economics, Management, and Financial Markets, 16(1), 52?62. doi: 10.22381/emfm16120215.

DOI: https://doi.org/10.22381/emfm16120215
View in Google Scholar

Norfolk, L., & O?Regan, M. (2021). Biometric technologies at music festivals: an extended technology acceptance model. Journal of Convention & Event Tourism, 22, 36?60. doi: 10.1080/15470148.2020.1811184.

DOI: https://doi.org/10.1080/15470148.2020.1811184
View in Google Scholar

Novak, A., Bennett, D., & Kliestik, T. (2021). Product decision-making information systems, real-time sensor networks, and artificial intelligence-driven big data analytics in sustainable Industry 4.0. Economics, Management, and Financial Markets, 16(2), 62?72. doi: 10.22381/emfm16220213.

DOI: https://doi.org/10.22381/emfm16220213
View in Google Scholar

Olsen, M. (2019). Using data analytics in the management of employees: digital means of tracking, monitoring, and surveilling worker activities. Psychosociological Issues in Human Resource Management, 7(2), 43?48. doi: 10.22381/PIHRM7220197.

DOI: https://doi.org/10.22381/PIHRM7220197
View in Google Scholar

Olssen, M. (2021). The rehabilitation of the concept of public good: reappraising the attacks from liberalism and neo-liberalism from a poststructuralist perspective. Review of Contemporary Philosophy, 20, 7?52. doi: 10.22381/RC P2020211.

DOI: https://doi.org/10.22381/RCP2020211
View in Google Scholar

Palm, M. (2018). Then press enter: digital payment technology and the history of telephone interface. Cultural Studies, 32, 582?599. doi: 10.1080/09502386.201 7.1384034.

DOI: https://doi.org/10.1080/09502386.2017.1384034
View in Google Scholar

Pantano, E. (2020). Non-verbal evaluation of retail service encounters through consumers? facial expressions. Computers in Human Behavior, 111, 106448. doi: 10.1016/j.chb.2020.106448.

DOI: https://doi.org/10.1016/j.chb.2020.106448
View in Google Scholar

Pelau, C., Dabija, D.-C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior, 122, 106855. doi: 10.1016/ j.chb.2021.106855.

DOI: https://doi.org/10.1016/j.chb.2021.106855
View in Google Scholar

Peters, M. A. (2022). A post-marxist reading of the knowledge economy: open knowledge production, cognitive capitalism, and knowledge socialism. Analysis and Metaphysics, 21, 7?23. doi: 10.22381/am2120221.

DOI: https://doi.org/10.22381/am2120221
View in Google Scholar

Platt, C. (2021). Public legitimacy of vaccine passports: ethical and regulatory issues raised by COVID-19 immunity certificates. Linguistic and Philosophical Investigations, 20, 135?144. doi: 10.22381/LPI20202112.

DOI: https://doi.org/10.22381/LPI20202112
View in Google Scholar

Poole, D. (2017). Identity and verification in the digital age: where we are today and what the future could hold. Journal of Payments Strategy & Systems, 10, 383?388.
View in Google Scholar

Popescu, C. K., Oa?a (Geambazi), R.-?., Geambazi, P., & Alexandru, B. (2021a). Real-time process monitoring, Industry 4.0 wireless networks, and cognitive automation in cyber-physical system-based manufacturing. Journal of Self-Governance and Management Economics, 9(1), 53?63. doi: 10.22381/jsme 9120215.

DOI: https://doi.org/10.22381/jsme9120215
View in Google Scholar

Popescu, G. H., Petreanu, S., Alexandru, B., & Corpodean, H. (2021b). Internet of Things-based real-time production logistics, cyber-physical process monitoring systems, and industrial artificial intelligence in sustainable smart manufacturing. Journal of Self-Governance and Management Economics, 9(2), 52?62. doi: 10.22381/jsme9220215.
View in Google Scholar

Riley, A., & Nica, E. (2021). Internet of Things-based smart healthcare systems and wireless biomedical sensing devices in monitoring, detection, and prevention of COVID-19. American Journal of Medical Research, 8(2), 51?64. doi: 10.22381/ajmr8220214.

DOI: https://doi.org/10.22381/ajmr8220214
View in Google Scholar

Riley, C., Vrbka, J., & Rowland, Z. (2021). Internet of Things-enabled sustainability, big data-driven decision-making processes, and digitized mass production in Industry 4.0-based manufacturing systems. Journal of Self-Governance and Management Economics, 9(1), 42?52. doi: 10.22381/jsme 912 0214.

DOI: https://doi.org/10.22381/jsme9120214
View in Google Scholar

Robinson, R., Zvarikova, K., & Sosedova, J. (2021). Restricting human rights and increasing discrimination through COVID-19 vaccination certificates: Necessity, benefits, risks, and costs. Linguistic and Philosophical Investigations, 20, 115?124. doi: 10.22381/LPI20202110.

DOI: https://doi.org/10.22381/LPI20202110
View in Google Scholar

Seng, S., Al-Ameen, M. N., & Wright, M. (2021). A first look into users? perceptions of facial recognition in the physical world. Computers & Security, 105, 102227. doi: 10.1016/j.cose.2021.102227.

DOI: https://doi.org/10.1016/j.cose.2021.102227
View in Google Scholar

Siekelova A., Kliestik T., Svabova L., Androniceanu A., & Schönfeld J. (2017). Receivables management: the importance of financial indicators in assessing the creditworthiness. Polish Journal of Management Studies, 15(2), 217?228. doi: 10.17512/pjms.2017.15.2.20.

DOI: https://doi.org/10.17512/pjms.2017.15.2.20
View in Google Scholar

Stehel, V., Bradley, C., Suler, P., & Bilan, S. (2021). Cyber-physical system-based real-time monitoring, industrial big data analytics, and smart factory performance in sustainable manufacturing Internet of Things. Economics, Management, and Financial Markets, 16(1), 42?51. doi: 10.22381/emfm1612 0214.

DOI: https://doi.org/10.22381/emfm16120214
View in Google Scholar

Suler, P., Palmer, L., & Bilan, S. (2021). Internet of Things sensing networks, digitized mass production, and sustainable organizational performance in cyber-physical system-based smart factories. Journal of Self-Governance and Management Economics, 9(2), 42?51. doi: 10.22381/jsme9220214.

DOI: https://doi.org/10.22381/jsme9220214
View in Google Scholar

Townsend, J. (2021). Interconnected sensor networks and machine learning-based analytics in data-driven smart sustainable cities. Geopolitics, History, and International Relations, 13(1), 31?41. doi: 10.22381/GHIR13120213.

DOI: https://doi.org/10.22381/GHIR13120213
View in Google Scholar

Turner, D., & Pera, A. (2021). Wearable Internet of Medical Things sensor devices, big healthcare data, and artificial intelligence-based diagnostic algorithms in real-time COVID-19 detection and monitoring systems. American Journal of Medical Research, 8(2), 132?145. doi: 10.22381/ajmr822 02110.

DOI: https://doi.org/10.22381/ajmr82202110
View in Google Scholar

Valaskova, K., Ward, P., & Svabova, L. (2021). Deep learning-assisted smart process planning, cognitive automation, and industrial big data analytics in sustainable cyber-physical production systems. Journal of Self-Governance and Management Economics, 9(2), 9?20. doi: 10.22381/jsme9220211.

DOI: https://doi.org/10.22381/jsme9220211
View in Google Scholar

Venkatesan, R., Princy, B. A., Kumar, V. D. A., Raghuraman, M., Gupta, M. K., Kumar, A., Kumar, A., & Kumar Khan, A. (2021). Secure online payment through facial recognition and proxy detection with the help of TripleDES encryption. Journal of Discrete Mathematical Sciences and Cryptography, 24(8), 2195?2205. doi: 10.1080/09720529.2021.2011096.

DOI: https://doi.org/10.1080/09720529.2021.2011096
View in Google Scholar

Wade, K., Vrbka, J., Zhuravleva, N. A., & Machova, V. (2021). Sustainable governance networks and urban Internet of Things systems in big data-driven smart cities. Geopolitics, History, and International Relations, 13(1), 64?74. doi: 10.22381/GHIR13120216.

DOI: https://doi.org/10.22381/GHIR13120216
View in Google Scholar

Wallace, S., & Lăzăroiu, G. (2021). Predictive control algorithms, real-world connected vehicle data, and smart mobility technologies in intelligent transportation planning and engineering. Contemporary Readings in Law and Social Justice, 13(2), 79?92. doi: 10.22381/CRLSJ13220216.

DOI: https://doi.org/10.22381/CRLSJ13220216
View in Google Scholar

Watkins, D. (2021). Real-time big data analytics, smart industrial value creation, and robotic wireless sensor networks in Internet of Things-based decision support systems. Economics, Management, and Financial Markets, 16(1), 31?41. doi: 10.22381/emfm16120213.

DOI: https://doi.org/10.22381/emfm16120213
View in Google Scholar

Welch, H. (2021). Algorithmically monitoring menstruation, ovulation, and pregnancy by use of period and fertility tracking apps. Journal of Research in Gender Studies, 11(2), 113?125. doi: 10.22381/JRGS11220218.

DOI: https://doi.org/10.22381/JRGS11220218
View in Google Scholar

Wingard, D. (2019). Data-driven automated decision-making in assessing employee performance and productivity: designing and implementing workforce metrics and analytics. Psychosociological Issues in Human Resource Management, 7(2), 13?18. doi: 10.22381/PIHRM7220192.

DOI: https://doi.org/10.22381/PIHRM7220192
View in Google Scholar

Woods, M., & Miklencicova, R. (2021). Digital epidemiological surveillance, smart telemedicine diagnosis systems, and machine learning-based real-time data sensing and processing in COVID-19 remote patient monitoring. American Journal of Medical Research, 8(2), 65?77. doi: 10.22381/ajmr8220215.

DOI: https://doi.org/10.22381/ajmr8220215
View in Google Scholar

Woodward, B., & Kliestik, T. (2021). Intelligent transportation applications, autonomous vehicle perception sensor data, and decision-making self-driving car control algorithms in smart sustainable urban mobility systems. Contemporary Readings in Law and Social Justice, 13(2), 51?64. doi: 10.223 81/CRLSJ13220214.

DOI: https://doi.org/10.22381/CRLSJ13220214
View in Google Scholar

Wójtowicz, A., & Chmielewski, J. (2017). Technical feasibility of context-aware passive payment authorization for physical points of sale. Personal and Ubiquitous Computing, 21, 1113?1125. doi: 10.1007/s00779-017-1035-z.

DOI: https://doi.org/10.1007/s00779-017-1035-z
View in Google Scholar

Xu, F. Z., Zhang, Y., Zhang, T., & Wang, J. (2021). Facial recognition check-in services at hotels. Journal of Hospitality Marketing & Management, 30(3), 373?393. doi: 10.1080/19368623.2020.1813670.

DOI: https://doi.org/10.1080/19368623.2020.1813670
View in Google Scholar

Yang, T., Zhao, X., Wang, X., & Lv, H. (2020). Evaluating facial recognition web services with adversarial and synthetic samples. Neurocomputing, 406, 378?385. doi: 10.1016/j.neucom.2019.11.117.

DOI: https://doi.org/10.1016/j.neucom.2019.11.117
View in Google Scholar

Yang, Y. (2020). Research on brush face payment system based on internet artificial intelligence. Journal of Intelligent & Fuzzy Systems, 38, 21?28. doi: 10.3233/JIFS-179376.

DOI: https://doi.org/10.3233/JIFS-179376
View in Google Scholar

Zhang, W. K., & Kang, M. J. (2019). Factors affecting the use of facial-recognition payment: an example of Chinese consumers. IEEE Access, 7, 154360?154374. doi: 10.1109/ACCESS.2019.2927705.

DOI: https://doi.org/10.1109/ACCESS.2019.2927705
View in Google Scholar

Zhang, H., Li, D., Ji, Y., Zhou, H., Wu, W., & Liu, K. (2020). Toward new retail: a benchmark dataset for smart unmanned vending machines. IEEE Transactions on Industrial Informatics, 16, 7722?7731. doi: 10.1109/TII.201 9.2954956.

DOI: https://doi.org/10.1109/TII.2019.2954956
View in Google Scholar

Zhao, F., Li, J., Zhang, L., Li, Z., & Na, S.-G. (2020). Multi-view face recognition using deep neural networks. Future Generation Computer Systems, 111, 375?380. doi: 10.1016/j.future.2020.05.002.

DOI: https://doi.org/10.1016/j.future.2020.05.002
View in Google Scholar

Zhong, Y., Oh, S., & Moon, H. C. (2021). Service transformation under industry 4.0: investigating acceptance of facial recognition payment through an extended technology acceptance model. Technology in Society, 64, 101515. doi: 10.1016/j.techsoc.2020.101515.

DOI: https://doi.org/10.1016/j.techsoc.2020.101515
View in Google Scholar

Zhi, H., & Liu, S. (2019). Face recognition based on genetic algorithm. Journal of Visual Communication and Image Representation, 58, 495?502. doi: 10.1016/j. jvcir.2018.12.012.

DOI: https://doi.org/10.1016/j.jvcir.2018.12.012
View in Google Scholar

Downloads

Published

2022-03-30

How to Cite

Dijmărescu, I., Iatagan, M., Hurloiu, I., Geamănu, M., Rusescu, C., & Dijmărescu, A. (2022). Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models. Oeconomia Copernicana, 13(1), 225–250. https://doi.org/10.24136/oc.2022.007

Issue

Section

Articles

Most read articles by the same author(s)

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.