University of Jyväskylä | JYX Digital Repository

  • English  | Give feedback |
    • suomi
    • English
 
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  • JYX
  • Artikkelit
  • Informaatioteknologian tiedekunta
  • View Item
JYX > Artikkelit > Informaatioteknologian tiedekunta > View Item

Revenue models in cloud computing

ThumbnailAuthor's Final draft
View/Open
188.1 Kb

Downloads:  
Show download detailsHide download details  
Ojala, A., & Tyrväinen, P. (2012). Revenue models in cloud computing. In E. Prakash (Ed.), Proceedings of 5th Computer Games, Multimedia & Allied Technology Conference (CGAT 2012) (pp. 114-119). GSTF. 5th Annual International Conference Proceedings.
Published in
5th Annual International Conference Proceedings
Authors
Ojala, Arto |
Tyrväinen, Pasi
Editors
Prakash, Edmond
Date
2012
Copyright
© GSTF. This is an author's final draft version of an article whose final and definitive form has been published by GSTF.

 
Cloud computing brings new possibilities, allowing software firms to sell their software products using the Software-as-a-Service (SaaS) model. SaaS provides opportunities for flexible pricing but creates challenges on how to achieve a profitable revenue stream. In this multi-case study, the revenue models of five SaaS providers were examined. The main interest of the study was to investigate the different revenue models and the reasons for using particular revenue models. The revenue models were found to be mainly based on software renting, with a variety of pricing strategies. For SaaS providers, software renting generates a steady and predictable stream of revenue. The software renting model is also attractive to customers because (i) it facilitates prediction of the actual costs of the software, (ii) it decreases initial investments costs, and (iii) it makes it possible to purchase the software without special budgeting or the approval of top management. Interestingly, none of the firms used the commonly cited pay-per-use model. ...
Publisher
GSTF
Conference
Computer Games, Multimedia & Allied Technology Conference
Is part of publication
Proceedings of 5th Computer Games, Multimedia & Allied Technology Conference (CGAT 2012)
ISSN Search the Publication Forum
2251-1679
Keywords
Revenue models Cloud computing Cloud business models tapaustutkimus

Original source
http://dl.globalstf.org/index.php

URI

http://urn.fi/URN:NBN:fi:jyu-201209112363

Publication in research information system

https://converis.jyu.fi/converis/portal/detail/Publication/21500816

Metadata
Show full item record
Collections
  • Informaatioteknologian tiedekunta [1856]

Related items

Showing items with similar title or keywords.

  • Selection of the Proper Revenue and Pricing Model for SaaS 

    Ojala, Arto (IEEE, 2014)
    Recent research on software revenue and pricing models has revealed important ways in which firms can benefit from software renting. However, it is still unclear how SaaS providers select a proper revenue and pricing model ...
  • Software-as-a-Service Revenue Models 

    Ojala, Arto (IEEE Computer Society, 2013)
    When should software providers maintain their traditional licensing model versus offering software as a service, and which SaaS model is more profitable: rental or pay per use? For customers, what are the trade-offs between ...
  • Financial aspects of business models : reducing costs and increasing revenues in a cloud context 

    Laatikainen, Gabriella (University of Jyväskylä, 2018)
    The emergence of cloud computing induces opportunities for software vendors and for organizations with great storage needs. Indeed, software companies have begun to adopt cloud technologies and offer their software as ...
  • Comparison of different revenue models in SaaS 

    Ojala, Arto (GSTF, 2012)
    Cloud computing brings new possibilities for software firms to sell their products within a Software-as-a-Service (SaaS) model. However, although SaaS provides new revenue models, it may not easily achieve a profitable ...
  • Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing with Delay-Constraint 

    Samanta, Amit; Chang, Zheng (Institute of Electrical and Electronics Engineers, 2019)
    Mobile Edge Computing (MEC) is an important and effective platform to offload the computational services of modern mobile applications, and has gained tremendous attention from various research communities. For delay ...
  • Browse materials
  • Browse materials
  • Articles
  • Conferences and seminars
  • Electronic books
  • Historical maps
  • Journals
  • Tunes and musical notes
  • Photographs
  • Presentations and posters
  • Publication series
  • Research reports
  • Research data
  • Study materials
  • Theses

Browse

All of JYXCollection listBy Issue DateAuthorsSubjectsPublished inDepartmentDiscipline

My Account

Login

Statistics

View Usage Statistics
  • How to publish in JYX?
  • Self-archiving
  • Publish Your Thesis Online
  • Publishing Your Dissertation
  • Publication services

Open Science at the JYU
 
Data Protection Description

Accessibility Statement

Unless otherwise specified, publicly available JYX metadata (excluding abstracts) may be freely reused under the CC0 waiver.
Open Science Centre