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Determining factors for the adoption of cloud computing among small and medium-sized enterprises during the covid-19 pandemic

Tan, Keng Yeng (2022) Determining factors for the adoption of cloud computing among small and medium-sized enterprises during the covid-19 pandemic. Master dissertation/thesis, UTAR.

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    Abstract

    Cloud computing services (CCS), the vital technologies which provide on demand usage for networking access, security permission, data storage thru cloud and application platform to run the business processing for users. Adoption of CC provide various of benefits such as flexibility, cost reduction, upgrading of software and hardware and agility. TOE framework used in the research to analyse the factors influence the adoption based on technological (T), organisational (O) and environmental (E) contexts. The objectives of this research are: i) to investigate the factors for the adoption of CC during the COVID-19 pandemic; ii) to investigate the effects of the adoption of CC on project performance during the COVID-19 pandemic. After analysing the collected data, the top five ranking factors of the cloud adoption are compatibility; perceived usefulness; relative advantage; technological capability; and perceived ease of use. It did find that there are three critical principal factors which affect the adoption of CC are: i) Environmental Conduciveness; ii) Technological Advantages; and iii) Organisational Capabilities. In conclusion, the principal components of the factor analysis will positively impact the decision of cloud adoption and the effects of using CC in project will improve the performance of project.

    Item Type: Final Year Project / Dissertation / Thesis (Master dissertation/thesis)
    Subjects: T Technology > T Technology (General)
    Divisions: Institute of Postgraduate Studies & Research > Lee Kong Chian Faculty of Engineering and Science (LKCFES) - Sg. Long Campus > Master of Project Management @ Master of Science (Project Management)
    Depositing User: Sg Long Library
    Date Deposited: 26 Dec 2022 19:00
    Last Modified: 26 Dec 2022 19:00
    URI: http://eprints.utar.edu.my/id/eprint/4971

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