What catalyses mobile apps usage intention: an empirical analysis

被引:242
作者
Hew, Jun-Jie [1 ]
Lee, Voon-Hsien [1 ]
Ooi, Keng-Boon [2 ]
Wei, June [3 ]
机构
[1] Univ Tunku Abdul Rahman, Fac Business & Finance, Kampar, Malaysia
[2] UCSI Univ, Fac Business & Informat Sci, Kuala Lumpur, Malaysia
[3] Univ W Florida, Coll Business, Pensacola, FL 32514 USA
关键词
Consumer behavioural intention; Gender; Educational level; Malaysia; Mobile applications; UTAUT2; M-COMMERCE ADOPTION; INFORMATION-TECHNOLOGY; BEHAVIORAL INTENTION; USER ACCEPTANCE; PERCEIVED USEFULNESS; CONSUMER ACCEPTANCE; BANKING; SERVICES; UTAUT; MODEL;
D O I
10.1108/IMDS-01-2015-0028
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose - Considering the lack of understanding of the mobile applications (mobile apps) market and low usage rates among Malaysians, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was adapted to investigate the determinants of consumer behavioural intention (BI) to use mobile apps. Design/methodology/approach - A total of 288 sample data was collected and analysed using partial least square equation modelling (PLS-SEM) method. Findings - All of UTAUT2 constructs (i.e. performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, and habit), except for price value and social influence, significantly relate with BI to use mobile applications. Habit was reported to have the strongest influence. Gender and educational level were found to be insignificant moderators. Practical implications - Mobile application developers could have better understanding on users' needs and intention, based on the findings. Originality/value - In order to shed light on current problems, and there is a dearth in relevant studies which could resolve the issue, this paper contributes the necessary knowledge on mobile apps acceptance to developers. Educational level was added into UTAUT2 as a moderator in addition to gender.
引用
收藏
页码:1269 / 1291
页数:23
相关论文
共 88 条
[1]  
Abu-Shanab E. A., 2011, 2011 3rd International Conference on Computer Research and Development (ICCRD 2011), P324, DOI 10.1109/ICCRD.2011.5764029
[2]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[3]  
Ajzen I., 1985, Action Control Cogn. Behav., P11, DOI DOI 10.1007/978-3-642-69746-32
[4]   Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT [J].
Al-Gahtani, Said S. ;
Hubona, Geoffrey S. ;
Wang, Jijie .
INFORMATION & MANAGEMENT, 2007, 44 (08) :681-691
[5]   ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS [J].
ARMSTRONG, JS ;
OVERTON, TS .
JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) :396-402
[6]  
Bagozzi R. P., 1988, J ACAD MARKETING SCI, V16, P74, DOI [10.1007/BF02723327, DOI 10.1007/BF02723327, 10.1177/009207038801600107]
[7]   Educational use of smart phone technology A survey of mobile phone application use by undergraduate university students [J].
Bomhold, Catharine Reese .
PROGRAM-ELECTRONIC LIBRARY AND INFORMATION SYSTEMS, 2013, 47 (04) :424-436
[8]  
Bowen K., 2012, STUDENT PREFERENCES
[9]   Tablets, touchscreens, and touchpads: How varying touch interfaces trigger psychological ownership and endowment [J].
Brasel, S. Adam ;
Gips, James .
JOURNAL OF CONSUMER PSYCHOLOGY, 2014, 24 (02) :226-233
[10]  
Budiu R., 2013, Mobile: Native apps, Web apps, and Hybrid apps