A Multi-Dimensional Nomological Network of Mobile Payment Continuance

被引：9

作者：

Loh, Xiu-Ming ^{[1
]}

Lee, Voon-Hsien ^{[1
]}

Leong, Lai-Ying ^{[1
]}

机构：

[1] Univ Tunku Abdul Rahman, Kampar, Malaysia

来源：

JOURNAL OF COMPUTER INFORMATION SYSTEMS | 2023年 / 63卷 / 05期

关键词：

Multi-Dimensional Nomological Network of Mobile Payment Continuance; Expectation-Confirmation Model; Network Externalities; Status Quo Bias Perspective; Transactional Theory of Stress; STATUS-QUO BIAS; EXPECTATION-CONFIRMATION; TECHNOSTRESS; SERVICES; USERS; INTENTION; EXTERNALITIES; ADOPTION; IMPACT; USAGE;

D O I：

10.1080/08874417.2022.2125102

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Despite the high utilization of mobile payment during the COVID-19 pandemic, this situation may change in the post-pandemic era. Therefore, great value can be derived from determining the significant antecedents of mobile payment continuance intention. This study looks to do so by introducing a Multi-Dimensional Nomological Network of Mobile Payment Continuance. A two-stage Partial Least Square-Structural Equation Modeling and Artificial Neural Network was utilized for the data analysis. The results provided empirical support to establish the overall nomological network. In addition, more than 70% of the variance in continuance intention was captured. Overall, this study provides practitioners with detailed insights to develop strategies for sustainable utilization and academics with a dynamic framework to look into users' mobile payment continuance intention.

引用

页码：1070 / 1092

页数：23

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