Paper Info
Title
Understanding and predicting students' intention to use mobile cloud storage services
Abstract
The challenges of mobile devices such as limited bandwidth, computing, and storage have led manufacturers and service providers to develop new value-added mobile services. To address these limitations, mobile cloud computing, which offers on-demand services including platforms, infrastructure, and software have been developed. This study attempts to build a significantly improved research framework based on the Technology Acceptance Model in order to identify factors that affect students' attitudes toward and intentions in using mobile cloud storage services. A structural equation model was used to assess the proposed model based on the data collected from 262 undergraduate students. Results show that perceived usefulness, subjective norm, and trust have a significantly positive effect on the attitude, which in turn is a significant predictor of behavioral intentions. The research model, which explains 82% of the variance in attitudes toward using mobile cloud storage services has a strong predictive power. The findings have both theoretical and practical implications for academics, managers, and educational institutions. The study investigates factors affecting use of mobile cloud storage services.A significantly improved research framework is developed based on the TAM.A structural equation model was used to assess the proposed model.Perceived security and privacy are directly related to trust.Perceived ubiquity and ease of use are directly related to perceived usefulness.
Year
DOI
Venue
2016
10.1016/j.chb.2015.12.067
Computers in Human Behavior
Keywords
Field
DocType
Mobile cloud computing,Cloud storage,Ubiquity,Trust
Mobile cloud computing,Social psychology,Structural equation modeling,Technology acceptance model,Usability,Knowledge management,Psychology,Service provider,Mobile device,Conceptual framework,Cloud storage
Journal
Volume
Issue
ISSN
58
C
0747-5632
Citations 
PageRank 
References 
16
0.50
30
Authors
1
Name
Order
Citations
PageRank
Ibrahim Arpaci1576.03