The impact of trust on the adoption of cloud computing services by university students

Conference paper

Almazroi, Abdulwahab Ali, Shen, Haifeng and Mohammed, Fathey. (2019). The impact of trust on the adoption of cloud computing services by university students. 3rd International Conference of Reliable Information and Communication Technology 2018. Kuala Lumpur, Malaysia 23 - 24 Jul 2018 Malaysia: Springer Verlag. pp. 902-911 https://doi.org/10.1007/978-3-319-99007-1_84
AuthorsAlmazroi, Abdulwahab Ali, Shen, Haifeng and Mohammed, Fathey
TypeConference paper
Abstract

Cloud computing is a state-of-the-art technology that delivers computing resources to organizations and educational institutions over the Internet. Cloud computing services such as Google Apps, Microsoft education cloud, Amazon Web services, and IBM cloud academy help universities by facilitating teaching, learning, research, and other development activities. Nevertheless, one of the factors influencing cloud computing adoption is trust. Therefore, this paper aims at assessing the impact of trust on adopting cloud services by undergraduate students in Saudi Arabian universities. The study utilized a modified version of Technology Acceptance Model (TAM) by integrating trust to collect the empirical data. The data were gathered using a questionnaire from 527 undergraduate students in two Saudi Arabian universities. The responses were analyzed using SPSS and AMOS software. The findings showed that perceived usefulness, perceived ease of use, and trust are the significant predictors of intention to adopt cloud services. The findings suggested that perceived usefulness, perceived ease of use, and trust should be considered by decision makers in universities and cloud service providers in order to promote adoption of cloud services among students.

KeywordsCloud computing; Technology acceptance model; Trust; Perceived usefulness; Perceived ease of use
Year01 Jan 2019
PublisherSpringer Verlag
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-99007-1_84
Web address (URL)https://link.springer.com/chapter/10.1007/978-3-319-99007-1_84
Open accessPublished as non-open access
Research or scholarlyResearch
Book titleRecent Trends in Data Science and Soft Computing
Page range902-911
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-319-99007-1
Output statusPublished
Publication dates
Online09 Sep 2018
Publication process dates
Accepted24 Jul 2018
Deposited27 Mar 2024
Additional information

© 2019 Springer Nature Switzerland AG

Accessible from: https://rdcu.be/dA83D

Place of publicationMalaysia
Edition843
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