数字银行应用程序中的人工智能功能和期望确认理论:Y 和 Z 世代的视角

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

摘要

目的本研究旨在通过整合预期确认理论(ECT),探讨人工智能(AI)特征,即感知动物性(PAN)、感知智能(PIN)和感知拟人化(PAI),对用户满意度(ESA)和持续意向(CIN)的影响,尤其关注 Y 世代和 Z 世代。设计/方法/途径本研究采用定量方法,通过结构化问卷从数字银行应用程序的 Y 世代(204 人)和 Z 世代(291 人)受访者那里收集了 495 份数据,并使用 PLS-SEM 对这些数据进行了分析。研究结果表明,PAN 和 PIN 对数字银行应用程序的拟人化感知有显著的积极影响,进而提高了感知有用性、满意度和持续意愿。特别是,这些人工智能属性对不同代际的影响各不相同;Y 代的忠诚度主要基于人工智能功能带来的好处,而 Z 代则更看重人工智能的拟人化因素。这标志着数字银行服务需求的代际转变。研究局限性/影响印度 Y 和 Z 世代用户的特殊性决定了本研究的范围,这表明在未来与人工智能相关的银行研究中,可以扩大人口和地理界限。研究结果对银行高管和政策制定者开发人工智能支持的数字银行界面以迎合千禧一代客户的独特品味具有重要意义,从而强调了个性化人工智能功能以提高用户参与度和忠诚度的重要性。 本研究通过将人工智能属性与 ECT 相结合,丰富了数字银行文献,提供了对人工智能在调节年轻消费者满意度和持续意向方面所起作用的细致理解。它强调了人工智能在根据 Y 和 Z 两代人不断变化的期望而量身打造具有吸引力和忠诚度的数字银行环境方面的战略必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence features and expectation confirmation theory in digital banking apps: Gen Y and Z perspective

Purpose

This study aimed to explore the impact of Artificial Intelligence (AI) characteristics, namely Perceived Animacy (PAN), perceived intelligence (PIN), and perceived anthropomorphism (PAI), on user satisfaction (ESA) and continuous intentions (CIN) by integrating Expectation Confirmation Theory (ECT), with a particular focus on Generation Y and Z.

Design/methodology/approach

Using a quantitative method, the study collected 495 data from Gen Y (204) and Z (291) respondents who were users of digital banking apps through structured questionnaires that were analysed using PLS-SEM. The latter helped investigate the driving forces of AI characteristics and user behavioural intentions as well as reveal generation-specific features of digital banking engagement.

Findings

The study revealed that PAN and PIN have significant positive effects on the anthropomorphic perceptions of digital banking apps, which in turn increases perceived usefulness, satisfaction, and continuous intentions. In particular, the influence of these AI attributes varies across generations; Gen Y’s loyalty is mostly based on the benefits derived from AI features, whereas Gen Z places a greater value on the anthropomorphic factor of AI. This marked a generational shift in the demand for digital banking services.

Research limitations/implications

The specificity of Indian Gen Y and Z users defines the scope of this study, suggesting that demographic and geographical boundaries can be broadened in future AI-related banking research.

Practical implications

The results have important implications for bank executive officers and policymakers in developing AI-supported digital banking interfaces that appeal to the unique tastes of millennial customers, thus emphasising the importance of personalising AI functionalities to enhance user participation and loyalty.

Originality/value

This study enriches the digital banking literature by combining AI attributes with ECT, offering a granular understanding of AI’s role in modulating young consumers' satisfaction and continuance intentions. It underscores the strategic imperative of AI in cultivating compelling and loyalty-inducing digital banking environments tailored to the evolving expectations of Generations Y and Z.

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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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