With Good We Become Good: Understanding e-learning adoption by theory of planned behavior and group influences

被引:148
作者
Chu, Tsai-Hsin [1 ]
Chen, Yi-Ying [1 ]
机构
[1] Natl Chiayi Univ, Dept E Learning Design & Management, Chiayi, Taiwan
关键词
Technology adoption; Intention; Social identity; Social bonds; E-learning; TECHNOLOGY ACCEPTANCE MODEL; USER ACCEPTANCE; SOCIAL-INFLUENCE; INFORMATION-TECHNOLOGY; PERCEIVED EASE; INTENTION; TEACHERS; USAGE; METAANALYSIS; EXTENSION;
D O I
10.1016/j.compedu.2015.09.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Intention-based research proposes that intention can effectively predict technology adoption behaviors and emphasizes examining antecedents to increase technology adoption intention. Intention-based research demonstrates how individual internal perceptions can derive external behaviors. However, individual behavioral intention can be changed due to external social influences. Although current research investigates the impact of social influence on behavioral intention, this investigation views it as usually manipulated as "subjective norm", which represents the social influence from a particular individual (or individuals) within a group. This kind of manipulation may be regrettable because we may ignore the important influences brought by the group as a whole. Group influences may change individual behavioral intention by the processes of compliance, identification, and internalization. However, current intention-based research devotes less of effort to investigate group influences with other intentional antecedents. To bridge this gap, this study extends intention-based research by considering the impact of group influences. Specifically, we examine e-learning technology adoption by extending theory of planned behavior with social identity and social bonds. Survey data collected from 201 e-learning participants is used to verify the developed hypotheses. Our findings suggested that user attitude, perceived behavioral control, subjective norms, and social bonds presented significant positive correlations to e-learning intention. In addition, social identity and social bonds could moderate the effect of subjective norms on intention. The findings also indicated that intention enhanced the time for using e-learning technology rather than frequency. Research implications and limitations are also discussed. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:37 / 52
页数:16
相关论文
共 96 条
[1]  
Aboelmaged M., 2013, International journal of business research and development, V2, P35, DOI 10.24102/ijbrd.v2i1.263
[2]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[3]   PREDICTION OF GOAL-DIRECTED BEHAVIOR - ATTITUDES, INTENTIONS, AND PERCEIVED BEHAVIORAL-CONTROL [J].
AJZEN, I ;
MADDEN, TJ .
JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, 1986, 22 (05) :453-474
[4]  
Ajzen I., 1980, Understanding attitudes and predicting social behavior, VPaperback, DOI 10.1007/978-3-642-69746-3_2
[5]  
Alavi M., 2001, MIS Q, V25, P95
[6]  
[Anonymous], CAUSE OF DELINQUENCY
[7]   Surveying FIFA instructors' behavioral intention toward the Multimedia Teaching Materials [J].
Armenteros, M. ;
Liaw, Shu-Sheng ;
Fernandez, M. ;
Flores Diaz, R. ;
Arteaga Sanchez, R. .
COMPUTERS & EDUCATION, 2013, 61 :91-104
[8]   Motivational factors that influence the acceptance of Moodle using TAM [J].
Arteaga Sanchez, R. ;
Duarte Hueros, A. .
COMPUTERS IN HUMAN BEHAVIOR, 2010, 26 (06) :1632-1640
[9]  
Baker Elizabeth White, 2007, Information Technology & People, V20, P352, DOI 10.1108/09593840710839798
[10]  
Barclay D., 1995, Technology Studies