ABCD Analysis of Voice Biometric System in Banking

Amjad Hassan Khan M. K., P. S. Aithal
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Abstract

Purpose: This article aims to provide an overview of the voice biometric system in banking and its benefits using the ABCD analytical methodology. Voice biometric systems in banking are pivotal for improving customer experiences, effortlessly integrating into various service channels like call centers and mobile apps. This article provides advantages, benefits, constraints and disadvantages (ABCD) analysis of the voice biometric offerings for banking sector. Design/Methodology/Approach: The research examined published papers through the ABCD analysis framework, employing quantitative analysis within focus group interactions to uncover crucial attributes and variables that impact consumers' intentions to implement voice biometric system in banking system. This process yielded valuable insights. Findings/Result: The ABCD analytical approaches of voice biometric systems in banking indicates the enhanced customer satisfaction and streamline operations through their diverse functionalities. When integrated into the bank's multi-factor authentication framework, voice biometric systems serve as a non-intrusive yet highly secure authentication method. They offer a seamless customer experience by eliminating the need for traditional PINs or passwords, reducing the risk of unauthorized access, and bolstering overall system security. The implementation of voice biometric systems in the banking sector provides several key benefits. Originality/Value: Utilizing the ABCD analysis approach, this research examines the inclination of consumers to activate the voice biometric systems in banking. The investigation delves into consumer behavior and the elements that impact usage decisions, employing determinant issues, key attributes, factor analysis, and elementary analysis. Paper Type: Empirical Analysis
银行业语音生物识别系统的 ABCD 分析
目的:本文旨在利用 ABCD 分析方法概述银行业的语音生物识别系统及其优势。银行业的语音生物识别系统对于改善客户体验至关重要,可以毫不费力地集成到呼叫中心和移动应用程序等各种服务渠道中。本文对银行业语音生物识别产品的优势、好处、制约因素和劣势(ABCD)进行了分析。设计/方法/途径:本研究通过 ABCD 分析框架研究了已发表的论文,在焦点小组互动中采用定量分析,以发现影响消费者在银行系统中实施语音生物识别系统意向的关键属性和变量。这一过程产生了宝贵的见解:银行业语音生物识别系统的 ABCD 分析方法表明,语音生物识别系统通过其多样化的功能提高了客户满意度并简化了操作。语音生物识别系统融入银行的多因素身份验证框架后,可作为一种非侵入性但高度安全的身份验证方法。语音生物识别系统无需使用传统的 PIN 码或密码,降低了未经授权访问的风险,增强了整个系统的安全性,为客户提供了无缝体验。在银行业实施语音生物识别系统有几个主要好处:利用 ABCD 分析方法,本研究探讨了消费者在银行业务中激活语音生物识别系统的倾向。调查采用决定性问题、关键属性、因素分析和基本分析等方法,深入研究了消费者行为和影响使用决策的因素:实证分析
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