How to generate loyalty in mobile payment services? An integrative dual SEM-ANN analysis

忠诚 付款 独创性 营销 移动支付 业务 结构方程建模 认知 心理学 广告 社会心理学 计算机科学 财务 创造力 机器学习 神经科学
作者
Tri-Quan Dang,Garry Wei–Han Tan,Eugene Cheng‐Xi Aw,Keng‐Boon Ooi,Bhimaraya Metri,Yogesh K. Dwivedi
出处
期刊:International Journal of Bank Marketing [Emerald (MCB UP)]
卷期号:41 (6): 1177-1206 被引量:64
标识
DOI:10.1108/ijbm-05-2022-0202
摘要

Purpose The surging entrance of new mobile payment merchants into the growing market has prompted the need for an in-depth understanding of loyalty formation to retain customers. This study examines customers' loyalty generation process in mobile payment services by exploring the serial effect of cognitive drivers (i.e. brand awareness, perceived quality, brand image, perceived value and layout) on affective response, satisfaction and loyalty. Design/methodology/approach A survey using self-administered questionnaires was conducted. The data was collected from 370 consumers who have experience using mobile payment services in Vietnam. The data were submitted to partial least square structural equation modeling (PLS-SEM) and artificial neural networks (ANN) analysis. Findings The results indicated that all the proposed cognitive drivers show significant impacts on affective response, which, in turn, translates into satisfaction and loyalty. The post-hoc analysis revealed enjoyment as the vital affective response in determining satisfaction. Moreover, the multigroup analysis indicated that the relationship between affective response and satisfaction is stronger for the female group. In addition, the ANN's nonlinear result revealed complementary insight into the importance of cognitive drivers. Originality The current study revealed both linear and nonlinear mechanisms that explicate the roles of cognitive drivers and affective responses in fostering loyalty toward mobile payment merchants. The findings add to the existing literature that emphasizes consumers' initial mobile payment adoption.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
斯文败类应助求大佬采纳,获得10
1秒前
stand关注了科研通微信公众号
1秒前
1秒前
Rubia完成签到,获得积分10
1秒前
1秒前
zu完成签到,获得积分10
1秒前
1秒前
量子星尘发布了新的文献求助10
2秒前
开心米粉发布了新的文献求助30
3秒前
3秒前
充电宝应助Yiang采纳,获得30
3秒前
哭泣藏花发布了新的文献求助10
3秒前
3秒前
zzz完成签到,获得积分10
3秒前
zss发布了新的文献求助10
3秒前
3秒前
4秒前
guozi发布了新的文献求助10
4秒前
4秒前
王雯雯完成签到,获得积分10
4秒前
wyw完成签到,获得积分10
5秒前
5秒前
李爱国应助纪忆寒采纳,获得20
5秒前
yang发布了新的文献求助10
5秒前
斧王发布了新的文献求助80
5秒前
可爱的函函应助kkk采纳,获得10
6秒前
Zzoey关注了科研通微信公众号
6秒前
qxqy6678发布了新的文献求助10
6秒前
6秒前
Owen应助Cgy采纳,获得10
6秒前
6秒前
悦耳怜珊发布了新的文献求助10
7秒前
香蕉静芙发布了新的文献求助10
7秒前
李喜喜发布了新的文献求助10
7秒前
7秒前
zhonglv7应助制药小兵采纳,获得10
8秒前
wanci应助典雅的绿凝采纳,获得10
8秒前
金鱼发布了新的文献求助20
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5711035
求助须知:如何正确求助?哪些是违规求助? 5202070
关于积分的说明 15263091
捐赠科研通 4863454
什么是DOI,文献DOI怎么找? 2610771
邀请新用户注册赠送积分活动 1561017
关于科研通互助平台的介绍 1518534