IDEAS home Printed from https://ideas.repec.org/a/ris/zfioef/0072.html
   My bibliography  Save this article

The relevance of prescriptive decision theory in overcoming consumer behaviour reluctance to adopting SaaS solutions, with special consideration to European Corporate Buyers

Author

Listed:
  • Fajic, Nedzad

    (Allensbach Hochschule Konstanz)

Abstract

The main aim of this study is to identify various sources of reluctance factors in adopting Software–as-a-Service (SaaS) among customers in Europe. In addition, this research intends to develop alternatives to facilitate the adoption rate of SaaS by employing prescriptive decision making theory. Therefore, in order to identify reluctance factors, the present study conducted a survey among 185 corporate buyers in addition to semi-structured interviews among 20 mangers. Through prescriptive theory, this study classified risks such as security, strategic, psychological, financial, and product provider risk. Moreover, this study concluded that awareness programmes, training, SOA, effective promotional strategies, user-friendly systems, and technical and maintenance support facilitate the adoption rate of SaaS. This study enables corporate buyers to have detailed insight into SaaS implementations, its benefits, and risks and guides them to take appropriate decisions.

Suggested Citation

  • Fajic, Nedzad, 2014. "The relevance of prescriptive decision theory in overcoming consumer behaviour reluctance to adopting SaaS solutions, with special consideration to European Corporate Buyers," Zeitschrift für interdisziplinäre ökonomische Forschung, Allensbach Hochschule, issue 1, pages 48-56, September.
    • Handle: RePEc:ris:zfioef:0072
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Cloud computing; SaaS; Predictive decision theory; consumer behaviour; purchase reluctance; Europe;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

    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:ris:zfioef:0072. 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: Dr. Petia Popova (email available below). General contact details of provider: https://edirc.repec.org/data/allhsde.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.