新银行的采用:信息系统有效性框架与创新阻力模型的整合

IF 4.1 3区 管理学 Q2 BUSINESS
Puneett Bhatnagr, Anupama Rajesh, Richa Misra
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引用次数: 0

摘要

目的 本研究旨在整合 Delone 和 McLean 的信息系统成功(DMISS)模型和创新阻力模型,以评估在新银行业务背景下行为使用意向(BIU)和创新阻力之间的关系。本研究的主要目的是确定采用新银行业务的驱动因素及其障碍,并纳入电子信任(ETR)和个人创新能力(PIV)等构建因素,以便更全面地了解影响采用新银行业务的因素。采用偏最小二乘法结构方程模型(PLS-SEM)进一步研究了新银行服务的采用情况和用户使用新银行服务的意向。研究结果本研究揭示了 BIU 与新银行服务采用率之间的显著相关性,表明了消费者准备接受这些产品的价值。然而,对于担心数据安全、不愿使用技术以及认为纯数字新银行存在风险的消费者来说,使用阻力已成为主要障碍。研究局限/影响分析驱动因素和限制因素将为正在经历快速数字化转型的印度银行业提供有关消费者决策过程形成的大量信息。这些信息对学者、从业人员和政策制定者都非常重要,因为它突出了可能促进或阻碍印度采用新银行业务的因素。这一分析的结果对该领域的研究人员、专家和利益相关者尤为重要,因为它们将为了解印度银行业消费者行为的动态提供有价值的见解。 原创性/价值 本研究是对印度快速发展的新银行业中的 BIU 和使用阻力进行研究的初步尝试。本研究的结果建立在该领域现有研究的基础上,有助于当前关于采用新银行业务的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neobank adoption: integrating the information systems effectiveness framework with the innovation resistance model
PurposeThis study aims to integrate Delone and McLean’s information system success (DMISS) model with the innovation resistance model to evaluate the relationship between behavioural intention to use (BIU) and innovation resistance in the context of neo-banking. The primary objective of this study is to identify the drivers of neo-banking adoption and the barriers to its adoption and incorporate constructs such as e-trust (ETR) and personal innovativeness (PIV) to provide a more comprehensive understanding of the factors influencing neo-banking adoption.Design/methodology/approachA structured survey-based questionnaire was used to gather data from a diverse sample population in India. The Partial Least Squares Structural Equation Modeling (PLS-SEM) model was employed to further examine the adoption of neobanking services and users' intention to use neobanking services.FindingsThis study reveals a significant correlation between BIU and the uptake of neobanking services, demonstrating the value of consumers' readiness to embrace these offerings. However, resistance to usage has emerged as a major obstacle for consumers concerned about data security, technology reluctance and perceived risks associated with digital-only neobanks.Research limitations/implicationsAnalysing the driving and restraining factors will provide substantial information on the formation of consumers' decision-making processes in the Indian banking industry, which is undergoing rapid digital transformation. This information is of great importance to scholars, practitioners and policymakers, as it highlights the factors that may facilitate or impede the adoption of neobanking in India. The outcomes of this analysis will be of particular interest to researchers, experts and stakeholders in the field as they will provide valuable insights into the dynamics of consumer behaviour in the Indian banking sector.Originality/valueThis study represents an initial effort to examine BIUs and usage resistance within the rapidly developing neobanking sector in India. The findings of this study build on the existing research in this area and contribute to the ongoing discussion on the adoption of neo-banking.
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来源期刊
CiteScore
8.20
自引率
8.70%
发文量
126
期刊介绍: ■In-depth studies of major issues ■Operations management ■Financial management ■Motivation ■Entrepreneurship ■Problem solving and proactivity ■Serious management argument ■Strategy and policy issues ■Tactics for turning around company crises Management Decision, considered by many to be the best publication in its field, consistently offers thoughtful and provocative insights into current management practice. As such, its high calibre contributions from leading management philosophers and practitioners make it an invaluable resource in the aggressive and demanding trading climate of the Twenty-First Century.
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