神经管理决策在面部识别生物识别认证作为一种移动支付技术在零售，餐厅和酒店的商业模式

IF 7.6 1区经济学 Q1 ECONOMICS

Oeconomia Copernicana Pub Date : 2022-03-30 DOI:10.24136/oc.2022.007

Irina Dijmărescu, Mariana Iatagan, Iulian Hurloiu, Marinela Geamănu, Ciprian Rusescu, A. Dijmărescu

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引用次数: 22

摘要

研究背景：随着越来越多的证据表明生物识别技术可以作为身份验证，在零售、餐厅和酒店的商业模式中，迫切需要通过使用面部识别算法来理解非接触式支付。文章目的：在这项研究中，先前的研究结果表明，将面部识别支付应用程序作为基于软件的非接触式生物识别算法，可以显著提高购买体验的质量。方法：在2021年3月和11月，对Web of Science、Scopus和ProQuest数据库进行了定量文献综述，搜索词包括？面部识别支付技术？面部识别支付系统？面部识别支付应用程序？基于人脸识别的支付服务？移动支付交易的面部认证？，和通过面部识别算法进行非接触式支付。？由于分析研究发表于2017年至2021年间，只有187篇文章符合资格标准。通过删除可疑或不明确的发现（有限/非必要的数据）、未经复制证实的结果、过于笼统的内容或标题非常相似的结果，选择了38个主要是实证来源。系统审查数据库是一个用于收集、处理和分析系统审查数据的软件程序。通过使用混合方法评估工具对所选学术来源的质量进行了评估。结果和附加值：将面部识别支付应用程序作为基于软件的非接触式生物识别算法，可以显著提高购买体验的质量。后续应关注感知价值和信任是否会塑造客户？采用生物识别支付设备。

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

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.

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来源期刊

Oeconomia Copernicana ECONOMICS-

CiteScore

13.70

自引率

5.90%

发文量

审稿时长

24 weeks

期刊介绍： The Oeconomia Copernicana is an academic quarterly journal aimed at academicians, economic policymakers, and students studying finance, accounting, management, and economics. It publishes academic articles on contemporary issues in economics, finance, banking, accounting, and management from various research perspectives. The journal's mission is to publish advanced theoretical and empirical research that contributes to the development of these disciplines and has practical relevance. The journal encourages the use of various research methods, including falsification of conventional understanding, theory building through inductive or qualitative research, first empirical testing of theories, meta-analysis with theoretical implications, constructive replication, and a combination of qualitative, quantitative, field, laboratory, and meta-analytic approaches. While the journal prioritizes comprehensive manuscripts that include methodological-based theoretical and empirical research with implications for policymaking, it also welcomes submissions focused solely on theory or methodology.