IDEAS home Printed from https://ideas.repec.org/a/fgv/eaerae/v59y2019i1a78250.html
   My bibliography  Save this article

A representação social de cloud computing pela percepção dos profissionais brasileiros de tecnologia da informação

Author

Listed:
  • Marchisotti, Gustavo Guimarães
  • Joia, Luis Antonio
  • Carvalho, Rodrigo Baroni de

Abstract

This study seeks to identify the social representation about Cloud Computing, by the perception of the Brazilian professionals of Information Technology (IT). Data were collected by administering online questionnaires to 221 IT professionals who were chosen using accessibility criteria. Social Representation Theory (SRT) was foundational in this study. We employed free evo­cation of words technique and the Vergès’ framework, as well as implicative, lexical, and content analysis. Analyzing the social representation of Cloud Computing yielded the following associated words: cloud, storage, availability, Internet, virtualization, and security. These results show that Brazilian IT professionals have a primarily operational, rather than strategic, approach to Cloud Computing this paradigm based on issues related to the safety and availability of cloud data. These results are aligned with other scientific literature on this subject. The theoretical contribution of this research lies in the use of SRT; this integrated use of implicative, lexical, and content analyses may be used to better examine constructs in the future.

Suggested Citation

  • Marchisotti, Gustavo Guimarães & Joia, Luis Antonio & Carvalho, Rodrigo Baroni de, 2019. "A representação social de cloud computing pela percepção dos profissionais brasileiros de tecnologia da informação," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(1), February.
    • Handle: RePEc:fgv:eaerae:v:59:y:2019:i:1:a:78250
    as

    Download full text from publisher

    File URL: http://bibliotecadigital.fgv.br/ojs/index.php/rae/article/view/78250
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fgv:eaerae:v:59:y:2019:i:1:a:78250. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eagvfbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.