Explaining customer's continuance intention to use mobile banking apps with an integrative perspective of ECT and Self-determination theory

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
R. Kumar, D. Israel, G. Malik
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引用次数: 44

Abstract

Digital payments evolve as the next generation system to take over the global commerce landscape in the same manner in which internet and mobile telephony had dominated the traditional communication domains. The use of mobile banking apps has spurred the digital medium across the globe and resulted in a fundamental shift in retailing practices. The purpose of this paper is to comprehend various factors influencing the customer’s continuance intentionbehavior to use mobile banking apps. In this study, we developed a research model that encompasses the attributes of Expectation confirmation theory (ECT) and Self-determination theory (SDT). The research model was tested using survey data collected from 744 respondents across various demographics and analyzed using structural equation modeling (SEM) to understand the usage behavior of mobile banking apps in a multi-faceted business environment. The various hypothesis of the research model indicate that mobile banking apps continuance intention usage behavior is strongly influenced by the satisfaction, intrinsic and identified regulations, whereas satisfaction is influenced by the expectation-confirmation, trust, and quality. The research findings reveal that, “An enormous potential are available for marketing managers and researchers to tape these opportunities and plan for continual and sustainable growth of mobile banking apps.
从ECT和自我决定理论的综合视角解释客户继续使用手机银行应用程序的意愿
数字支付作为下一代系统,将以互联网和移动电话主导传统通信领域的方式,接管全球商业格局。移动银行应用程序的使用刺激了全球数字媒体的发展,并导致了零售实践的根本转变。本文的目的是了解影响客户使用手机银行应用程序的持续意向行为的各种因素。在本研究中,我们建立了一个包含期望确认理论(ECT)和自决理论(SDT)属性的研究模型。该研究模型使用了从744名不同人口统计数据的受访者收集的调查数据进行测试,并使用结构方程模型(SEM)进行分析,以了解手机银行应用程序在多方面商业环境中的使用行为。研究模型的各种假设表明,手机银行应用程序持续意向使用行为受满意度、内在规则和识别规则的强烈影响,而满意度受期望-确认、信任和质量的影响。研究结果显示,“营销经理和研究人员有巨大的潜力可以抓住这些机会,并为移动银行应用程序的持续和可持续增长制定计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
33.30%
发文量
0
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