印度数字银行影响持续使用意向的在线客户体验:从Y世代和Z世代的角度看问题

IF 3.3 Q1 BUSINESS, FINANCE Journal of Financial Reporting and Accounting Pub Date : 2024-04-16 DOI:10.1108/jfra-11-2023-0638
Puneett Bhatnagr, Anupama Rajesh
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引用次数: 0

摘要

目的本研究旨在构思一个以客户为中心的模型,该模型以在线客户体验(OCE)为基础,以电子忠诚(EL)和电子信任(ET)为中介,从 Y 世代和 Z 世代的角度改善印度数字银行的持续使用意向(CUI)。研究结果决定数字银行 OCE 的主要因素包括感知享受、电子服务质量、信息质量和电子便利性。此外,还使用重要性-绩效图分析法对相关构念进行了评估。研究局限/意义本研究对使用数字银行的城市人口进行了便利抽样;因此,研究结果的普遍性可能有限。因此,本研究有助于纠正这一问题,同时提供有价值的见解。本研究与其他研究的不同之处在于,它使用 OCE、EL、ET 作为因变量,而不是传统的衡量标准,来研究这些因素与金融机构底线之间的联系。
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Online customer experience in Indian digital banks impacting continuous intention usage: Generation Y and Z perspective

Purpose

This study aims to conceptualise a customer-centric model based on an online customer experience (OCE) construct, mediated by e-loyalty (EL) and e-trust (ET), to improve the continuous usage intention (CUI) of Indian digital banks from Generation Y and Z perspectives.

Design/methodology/approach

This study used an online survey method to gather data from a sample of 466 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using PLS-SEM to further study the research hypotheses.

Findings

The main factors that determine digital banks’ OCE are perceived enjoyment, e-service quality, information quality and e-convenience. Additionally, relevant constructs were evaluated using an importance-performance map analysis.

Research limitations/implications

This study used convenience sampling for the urban population using digital banking; therefore, the outcome may be generalised to a limited extent. It would be valuable to imitate studies in other countries to strengthen digital banking further.

Originality/value

There is a lack of research on digital banking and OCE in India; thus, this study helps rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between OCE, EL, ET and the bottom line of financial institutions, using these factors as dependent variables instead of traditional measures.

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来源期刊
CiteScore
5.80
自引率
16.00%
发文量
65
期刊最新文献
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