The mediating effects of habit on continuance intention

被引:150
作者
Amoroso, Donald [1 ,2 ]
Lim, Ricardo [2 ]
机构
[1] Auburn Univ, Coll Business, Montgomery, AL 36117 USA
[2] Asian Inst Management, Paseo De Roxas, Makati, Philippines
关键词
Mobile applications; Habit; Emotions; Attitude; Satisfaction; Continuance intention; INFORMATION-SYSTEMS CONTINUANCE; STATUS-QUO; TECHNOLOGY; SATISFACTION; MODEL; INERTIA; LOYALTY; CONSEQUENCES; DETERMINANTS; ACCEPTANCE;
D O I
10.1016/j.ijinfomgt.2017.05.003
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
How do the behavioral-cognitive-emotional constructs of attitude, satisfaction, and habit drive consumer continuance intention of incumbent mobile technologies? From a survey of 528 consumers, we ran two structural equation models: model #1 is a base model of direct effects of attitudes and satisfaction on continuance intention; model #2 adds habit as a mediator variable. We show that consumer attitudes are stronger predictors of continuance intention, without mediation effects from habit. Consumer satisfaction only weakly predicts continuance intention and is mediated by habit. While satisfaction is correlated with consumer attitude, and satisfaction is correlated with habit, consumer attitudes seem unrelated to any habits. Attitude seems to be the strongest determinant of continuance intention; second, in the absence of compelling rational data, or given beliefs that competitors are largely undifferentiated, consumers might continue using the same product. Such complex interactions between variables may not be adequately captured in a straightforward variance model, however this study extends research in habit and continuance intention and provides for future research exploring the importance of habit over satisfaction and predominance of consumer attitudes in predicting continuance intention.
引用
收藏
页码:693 / 702
页数:10
相关论文
共 75 条
[31]   Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan [J].
Hsu, Meng-Hsiang ;
Chang, Chun-Ming ;
Chuang, Li-Wen .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2015, 35 (01) :45-56
[32]  
Ipsos, 2013, IPS STUD FUT IS MOB
[33]   How habit and satisfaction affects player retention for online gambling [J].
Jolley, Bill ;
Mizerski, Richard ;
Olaru, Doina .
JOURNAL OF BUSINESS RESEARCH, 2006, 59 (06) :770-777
[34]   Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs [J].
Karahanna, E ;
Straub, DW ;
Chervany, NL .
MIS QUARTERLY, 1999, 23 (02) :183-213
[35]   Factors influencing Internet shopping value and customer repurchase intention [J].
Kim, Changsu ;
Galliers, Robert D. ;
Shin, Namchul ;
Ryoo, Joo-Han ;
Kim, Jongheon .
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2012, 11 (04) :374-387
[36]  
Kim HW, 2009, MIS QUART, V33, P567
[37]   Predicting system usage from intention and past use: Scale issues in the predictors [J].
Kim, SS ;
Malhotra, NK .
DECISION SCIENCES, 2005, 36 (01) :187-196
[38]  
Kim SS, 2009, MIS QUART, V33, P49
[39]   Facebook as a Research Tool for the Social Sciences Opportunities, Challenges, Ethical Considerations, and Practical Guidelines [J].
Kosinski, Michal ;
Matz, Sandra C. ;
Gosling, Samuel D. ;
Popov, Vesselin ;
Stillwell, David .
AMERICAN PSYCHOLOGIST, 2015, 70 (06) :543-556
[40]  
Lafley A., 2017, HARVARD BUS REV, P3