PREDICTING DRIVERS OF MOBILE ENTERTAINMENT ADOPTION: A TWO-STAGE SEM-ARTIFICIAL-NEURAL-NETWORK ANALYSIS

被引：89
|
作者：
Hew, Teck-Soon [1 ]
Leong, Lai-Ying [2 ]
Ooi, Keng-Boon [3 ]
Chong, Alain Yee-Loong [4 ]
机构：
[1] Univ Malaya, Kuala Lumpur, Malaysia
[2] Univ Tunku Abdul Rahman, Perak Darul Ridzuan, Malaysia
[3] Linton Univ Coll, Negeri Sembilan, Malaysia
[4] Univ Nottingham Ningbo, Ningbo, Zhejiang, Peoples R China
来源：
JOURNAL OF COMPUTER INFORMATION SYSTEMS | 2016年 / 56卷 / 04期
关键词：
Artificial neural networks; mobile entertainment adoption; quality of service; trust; perceived financial cost; M-COMMERCE ADOPTION; BEHAVIORAL INTENTION; INFORMATION-TECHNOLOGY; PERCEIVED USEFULNESS; USER ACCEPTANCE; CONSUMER ACCEPTANCE; ELECTRONIC COMMERCE; EMPIRICAL-ANALYSIS; CREDIT CARD; DETERMINANTS;
D O I：
10.1080/08874417.2016.1164497
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study aims to understand users' motivations to adopt mobile entertainment (m-entertainment). Extending the Technology Acceptance Model (TAM), this study examined the effects of trust, perceived financial cost (PFC), and quality of the service on consumers' decision in adopting the m-entertainment. Survey data were collected from 524 mobile users and analyzed using both structural equation modeling (SEM) and neural network (NN). The result showed that perceived usefulness (PU), perceived ease of use (PEOU), and quality of service (QS) are important predictors of m-entertainment adoption. The study contributes to the existing literature by extending the TAM model as well as examining m-entertainment, an important and emerging business model in mobile commerce. A new analytical approach using both SEM and NN was also employed in this study.
引用
收藏
页码：352 / 370
页数：19
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