Research on User Adoption Model and Empirical Study of Cloud Computing Service Based on Structural Equation
Author: 
Shen QianliAuthors Info & Claims
Pages 345 - 349
Abstract
The rapid development of cloud computing not only improves the efficiency of users, but also reduces the cost. The factors that influence user adoption of cloud computing include security, reliability, perceived ease of use, perceived usefulness, task, technology fit, and trust. Therefore, this paper studies from two aspects. On the one hand, the key factors that influence the adoption behavior of personal cloud computing are researched and analyzed, and the adoption model of cloud computing user adoption behavior is constructed. The collected data are analyzed by using SSPS statistical software, and then the model is evaluated and corrected. Through empirical analysis, it can be concluded that trust has a positive correlation with the user's adoption of cloud computing behavior. On the other hand, through the results of empirical analysis, the paper puts forward the path and countermeasure of users' adoption of cloud computing in China.
References
[1]
Bhatiasevi, V., & Naglis, M. (2016). Investigating the structural relationship for the determinants of cloud computing adoption in education. Education & Information Technologies, 21(5), 1197-1223.
[2]
Gangwar, H., & Date, H. (2016). Understanding cloud computing adoption: a model comparison approach:. Human Systems Management, 35(2), 93-114.
[3]
Sabi, H. M., Uzoka, F. M. E., Langmia, K., Njeh, F. N., & Tsuma, C. K. (2017). A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-saharan africa. Information Systems Frontiers, 1-24.
[4]
Senarathna, I., Yeoh, W., Warren, M., & Salzman, S. (2016). Security and privacy concerns for australian smes cloud adoption: empirical study of metropolitan vs regional smes. Australasian Journal of Information Systems, 20.
[5]
Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015). Understanding saas adoption from the perspective of organizational users: a tripod readiness model. Computers in Human Behavior, 45, 254-264.
[6]
Koç, T., Turan, A. H., & Okursoy, A. (2016). Acceptance and usage of a mobile information system in higher education: an empirical study with structural equation modeling. International Journal of Management Education, 14(3), 286-300.
[7]
Shiau, W. L., & Chau, P. Y. K. (2016). Understanding behavioral intention to use a cloud computing classroom: a multiple model comparison approach. Information & Management, 53(3), 355-365.
[8]
Sallehudin, H., Razak, R. C., & Ismail, M. (2015). Factors influencing cloud computing adoption in the public sector: an empirical analysis. The journal of maternal-fetal & neonatal medicine: the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 25(3), 267-71.
[9]
Montazemi, A. R., & Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: a meta-analytic structural equation modeling study. Information & Management, 52(2), 210-226.
[10]
Hina, S., Dominic, P. D. D., & Ratnam, K. A. (2016). A relational study of critical threats and risks affecting the potential usage of collaborative pattern. Global Journal of Flexible Systems Management, 17(4), 1-16.
[11]
Hoque, M. R. (2016). An empirical study of mhealth adoption in a developing country: the moderating effect of gender concern. Bmc Medical Informatics & Decision Making, 16(1), 51.
[12]
Laugesen, J., & Hassanein, K. (2017). Adoption of personal health records by chronic disease patients: a research model and an empirical study. Computers in Human Behavior, 66, 256-272.
[13]
Majid Al-Ruithe, Elhadj Benkhelifa, & Khawar Hameed. (2017). Current state of cloud computing adoption -- an empirical study in major public sector organizations of saudi arabia (ksa). Procedia Computer Science, 110, 378-385.
[14]
Lin, F. T., Wu, H. Y., & Tran, T. N. N. (2015). Internet banking adoption in a developing country: an empirical study in vietnam. Information Systems and e-Business Management, 13(2), 267-287.
Index Terms
- Research on User Adoption Model and Empirical Study of Cloud Computing Service Based on Structural Equation
Recommendations
Adoption of cloud computing systems
ISDOC '14: Proceedings of the International Conference on Information Systems and Design of CommunicationThe purpose of this paper is to verify the factors that influence acceptance it in the context of cloud computing systems adoption. This study presents the theoretical factors, which influence the acceptance of new information systems. The first part ...
Critical factors for cloud based e-invoice service adoption in Taiwan
Based on UTAUT2 to understand the critical factors for cloud based e-invoice services adoption.The critical factors are effort expectation, social influence, trust in e-government, and perceived risk.Security concerns regarding e-government will ...
Factors Explaining IS Managers Attitudes toward Cloud Computing Adoption
This research aims to study factors that explain the negative attitude toward cloud computing adoption. More precisely, through a literature review and then a survey study, this research tries to develop and test a research model that present factors ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
November 2017
436 pages
ISBN:9781450353489
DOI:10.1145/3158233
Copyright © 2017 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- Wuhan Univ.: Wuhan University, China
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 07 November 2017
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICCIS 2017
ICCIS 2017: 2017 2nd International Conference on Communication and Information Systems
November 7 - 9, 2017
Wuhan, China
Acceptance Rates
Overall Acceptance Rate 28 of 49 submissions, 57%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 67Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 21 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in