Understanding consumer behavior toward adoption of e-wallet with the moderating role of pandemic risk: an integrative perspective

被引:13
作者
Rahi, Samar [1 ]
Alghizzawi, Mahmoud [2 ]
Ngah, Abdul Hafaz [3 ]
机构
[1] Univ Punjab, Hailey Coll Banking & Finance, Lahore, Pakistan
[2] Amman Arab Univ Grad Studies, Fac Business, Amman, Jordan
[3] Univ Malaysia Terengganu, Fac Management & Econ, Dept Mkt, Kuala Terengganu, Malaysia
关键词
Protection motivation theory; Task technology fit; Diffusion of innovation theory; Adoption of e-wallet; Pandemic risk; PROTECTION MOTIVATION THEORY; TECHNOLOGY; SECURITY; ACCEPTANCE; SERVICES; UTAUT;
D O I
10.1108/K-10-2022-1431
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
PurposeOver the last few decades, electronic banking has been used widely to manage financial transactions worldwide. More recently electronic wallet (e-wallet) banking has been identified as an innovative mode of e-payment and enhances e-banking customer experience. Although e-wallet banking service is more secure, fast, convenient and cost effective, compared to conventional web-based banking, adoption of e-wallet application is limited among e-banking consumers. To address this issue, the current study has conceptualized task technology fit (TTF) model, diffusion of innovation (DOI) theory and protection motivation theory towards adoption of e-wallet service. Moreover, pandemic risk is studied as moderating factor between the relationship of e-wallet and use of e-wallet banking among banking consumers.Design/methodology/approachThe research design of this study is based on positivism research paradigm. This study is cross-sectional and used deductive level of theory to formulate hypotheses. Research survey was conducted towards e-banking users. For statistical findings research framework is tested with 280 numerical responses. Data are estimated through partial least square structural equation modeling (PLS-SEM) approach.FindingsStatistical results demonstrates that collectively factors underpinned protection motivation theory, TTF and DOI have shown large variance R-2 65.7% in adoption of e-wallet. The effect size f(2) analysis has revealed that compatibility is one of the most influential factors in determining individual behavior to adopt e-wallet. Similarly, Geisser and Stone Q(2) analysis has disclosed substantial predictive power to predict adoption and use of e-wallet service.Practical implicationsTheoretically, this study integrates protection motivation theory, DOI theory and TTF model toward adoption of e-wallet service and hence contributes to information system literature. To practice this, research has suggested that factors such as pandemic risk, perceived severity and compatibility are most influential factors and hence need policy makers' attention to boost e-wallet adoption.Originality/valueThis study is original as the study develops an integrative research model to investigate e-banking user behavior to adopt of e-wallet service. Moreover, pandemic risk is tested as moderating factor between adoption and use of e-wallet which, in turn, enhance the value of this study and directs how to deal with existing and future pandemic crisis.
引用
收藏
页码:4818 / 4839
页数:22
相关论文
共 60 条
[1]  
Abdul-Halim Nurul-Ain, 2022, Qual Quant, V56, P3413, DOI [10.1007/s11135-021-01276-7, 10.1007/s11135-021-01276-7]
[2]   COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia [J].
Aji, Hendy Mustiko ;
Berakon, Izra ;
Md Husin, Maizaitulaidawati .
COGENT BUSINESS & MANAGEMENT, 2020, 7 (01)
[3]   Using e-wallet for business process development: challenges and prospects in Malaysia [J].
Alam, Md. Mahmudul ;
Awawdeh, Ala Eldin ;
Muhamad, Azim Izzuddin Bin .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2021, 27 (04) :1142-1162
[4]   Digitalization in banking sector: the role of intrinsic motivation [J].
Bastari, Ary ;
Eliyana, Anis ;
Syabarrudin, Agus ;
Arief, Zainal ;
Emur, Alvin Permana .
HELIYON, 2020, 6 (12)
[5]   Food purchase and eating behavior during the COVID-19 pandemic: A cross-sectional survey of Russian adults [J].
Ben Hassen, Tarek ;
El Bilali, Hamid ;
Allahyari, Mohammad S. ;
Berjan, Sinisa ;
Fotina, Oksana .
APPETITE, 2021, 165
[6]   Investigating the determinants of performance of artificial intelligence adoption in hospitality industry during COVID-19 [J].
Chen, Yuangao ;
Hu, Yuqing ;
Zhou, Shasha ;
Yang, Shuiqing .
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2023, 35 (08) :2868-2889
[7]   A Protection-Motivation Perspective to Explain Intention to Use and Continue to Use Mobile Warning Systems [J].
Fischer-Pressler, Diana ;
Bonaretti, Dario ;
Fischbach, Kai .
BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2022, 64 (02) :167-182
[8]   STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR - ALGEBRA AND STATISTICS [J].
FORNELL, C ;
LARCKER, DF .
JOURNAL OF MARKETING RESEARCH, 1981, 18 (03) :382-388
[9]   Knowledge management: An organizational capabilities perspective [J].
Gold, AH ;
Malhotra, A ;
Segars, AH .
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2001, 18 (01) :185-214
[10]   TASK-TECHNOLOGY FIT AND INDIVIDUAL-PERFORMANCE [J].
GOODHUE, DL ;
THOMPSON, RL .
MIS QUARTERLY, 1995, 19 (02) :213-236