Integrating TTF and UTAUT to explain mobile banking user adoption

被引:1028
作者
Zhou, Tao [1 ]
Lu, Yaobin [2 ]
Wang, Bin [3 ]
机构
[1] Hangzhou Dianzi Univ, Sch Management, Hangzhou 310018, Zhejiang, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China
[3] Univ Texas Pan Amer, Coll Business Adm, Edinburg, TX 78539 USA
关键词
Task technology fit (TTF); Unified theory of acceptance and usage of technology (UTAUT); Mobile banking; User adoption; TASK-TECHNOLOGY FIT; BEHAVIORAL INTENTION; CONSUMER ADOPTION; ACCEPTANCE; COMMERCE; VALIDATION; PAYMENTS; MODEL;
D O I
10.1016/j.chb.2010.01.013
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Due to its advantages such as ubiquity and immediacy, mobile banking has attracted traditional banks' interests. However, a survey report showed that user adoption of mobile banking was much lower than that of other mobile services. The extant research focuses on explaining user adoption from technology perceptions such as perceived usefulness, perceived ease of use, interactivity, and relative advantage. However, users' adoption is determined not only by their perception of the technology but also by the task technology fit. In other words, even though a technology may be perceived as being advanced, if it does not fit users' task requirements, they may not adopt it. By integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT), this research proposes a mobile banking user adoption model. We found that performance expectancy, task technology fit, social influence, and facilitating conditions have significant effects on user adoption. In addition, we also found a significant effect of task technology fit on performance expectancy. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:760 / 767
页数:8
相关论文
共 48 条
[1]   Exploring individual personality factors as drivers of M-shopping acceptance [J].
Aldas-Manzano, Joaquin ;
Ruiz-Mafe, Carla ;
Sanz-Blas, Silvia .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2009, 109 (5-6) :739-757
[2]   STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH [J].
ANDERSON, JC ;
GERBING, DW .
PSYCHOLOGICAL BULLETIN, 1988, 103 (03) :411-423
[3]  
[Anonymous], 2000, Communications of the Association for Information Systems, DOI [DOI 10.17705/1CAIS.00407, 10.17705/1cais.00407]
[4]  
Bagozzi R. P., 1988, Journal of the Academy of Marketing Science, V16, P74, DOI [DOI 10.1007/BF02723327, 10.1007/bf02723327]
[5]   Validation in information systems research: A state-of-the-art assessment [J].
Boudreau, MC ;
Gefen, D ;
Straub, DW .
MIS QUARTERLY, 2001, 25 (01) :1-16
[6]   CONVERGENT AND DISCRIMINANT VALIDATION BY THE MULTITRAIT-MULTIMETHOD MATRIX [J].
CAMPBELL, DT ;
FISKE, DW .
PSYCHOLOGICAL BULLETIN, 1959, 56 (02) :81-105
[7]  
Carlsson C., 2006, P 39 ANN HAW INT C S
[8]   Do size and structure matter to mobile users? An empirical study of the effects of screen size, information structure, and task complexity on user activities with standard web phones [J].
Chae, M ;
Kim, J .
BEHAVIOUR & INFORMATION TECHNOLOGY, 2004, 23 (03) :165-181
[9]   The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics [J].
Chen, Jengchung V. ;
Yen, David C. ;
Chen, Kuanchin .
INFORMATION & MANAGEMENT, 2009, 46 (04) :241-248
[10]   A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study [J].
Chin, WW ;
Marcolin, BL ;
Newsted, PR .
INFORMATION SYSTEMS RESEARCH, 2003, 14 (02) :189-217