مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

MODEL ADOPTION OF CLOUD COMPUTING IN IT OUTSOURCING

Pages

  1-11

Abstract

 Cloud computing technology as a new information and communication technology assists organization to change the use of production and it service. Meanwhile the organization managers by identifying their requires can experience outsourcing with the help of cloud computing knowledge. The aim of this study is to provide a model for information technology is based on cloud computing adaption. After studying literature and identify factors influencing the adoption of cloud computing on IT outstanding and composition the combination of theories related to the acceptance of innovation such as: Innovative of diffusion theory (IDT), Technology acceptance model (TAM), framework Technology Organization Environment (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT).The proposal model has been approved by experts in first step and manages and then it has been tested in IT Farhangestan honar. As a result of this study, knowledge of clerk, support of Mangers, security are the most important in cloud computing at out sourcing of IT which are helpful to the organization.

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    Cite

    APA: Copy

    YEKTAEI, MOHAMMAD HOSSEIN, & RANJBAR NOSHARY, AZAME. (2017). MODEL ADOPTION OF CLOUD COMPUTING IN IT OUTSOURCING. JOURNAL OF MANAGEMENT FUTURES RESEARCH(JOURNAL OF MANAGEMENT RESEARCH), 27(107), 1-11. SID. https://sid.ir/paper/204257/en

    Vancouver: Copy

    YEKTAEI MOHAMMAD HOSSEIN, RANJBAR NOSHARY AZAME. MODEL ADOPTION OF CLOUD COMPUTING IN IT OUTSOURCING. JOURNAL OF MANAGEMENT FUTURES RESEARCH(JOURNAL OF MANAGEMENT RESEARCH)[Internet]. 2017;27(107):1-11. Available from: https://sid.ir/paper/204257/en

    IEEE: Copy

    MOHAMMAD HOSSEIN YEKTAEI, and AZAME RANJBAR NOSHARY, “MODEL ADOPTION OF CLOUD COMPUTING IN IT OUTSOURCING,” JOURNAL OF MANAGEMENT FUTURES RESEARCH(JOURNAL OF MANAGEMENT RESEARCH), vol. 27, no. 107, pp. 1–11, 2017, [Online]. Available: https://sid.ir/paper/204257/en

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