IDEAS home Printed from https://ideas.repec.org/a/bco/mbrqaa/v5y2018p69-81.html
   My bibliography  Save this article

Decision Making Model for the Adoption of Cloud Computing in Turkish Organizations: A Conjoint Analysis

Author

Listed:
  • Can SAYGINER

    (YaÅŸar University, Doctoral Candidate, PhD Program in Business Administration, Graduate of School Sciences, Turkey)

  • Tuncay ERCAN

    (Yasar University, Department of Computer Engineering, Turkey)

Abstract

Cloud computing became the most efficient resource for following the business processes of companies and providing the required ICT capability for the last 10 years. It is a well-known fact that different cloud computing services help firms to orient themselves effectively to their functional goals. Because many additional issues such as budget, human power, time, personnel training required to use resources will automatically be handled by service providers. However, the reality of storing organizational data outside the company causes prejudiced and skeptical thoughts in top manager’s mind for cloud computing adoption from the point of security and privacy. But, the companies will be using this technology ultimately since its cost and competition efficiency will become more important as data production grows all over the world and every field. In this study, we will identify the different service options of cloud computing in the companies and analyze the factors that affect these choices in the light of their decisions. Orthogonal experimental design is applied to identify choices based on seven attributes: economic values, cloud advantage, security and privacy concern, reliability, control, compatibility and features. Afterwards, conjoint analysis is implemented to rank the criteria of the alternatives from the choices gained from orthogonal experimental design.

Suggested Citation

Handle: RePEc:bco:mbrqaa::v:5:y:2018:p:69-81
DOI: 10.32038/mbrq.2018.01.06
as

Download full text from publisher

File URL: https://api.eurokd.com/Uploads/Article/355/mbrq.2018.01.06.pdf
Download Restriction: no

File URL: https://libkey.io/10.32038/mbrq.2018.01.06?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

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:bco:mbrqaa::v:5:y:2018:p:69-81. 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: Sara Gunen (email available below). General contact details of provider: .

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.