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SaaS Architecture and Pricing Models

Authors: Ojala; Arto; Laatikainen, Gabriella;

SaaS Architecture and Pricing Models

Abstract

In the new era of computing, SaaS software with different architectural characteristics might be priced in different ways. Even though both pricing and architectural characteristics are responsible for the success of the offering, the relationship between architectural and pricing characteristics has not been studied before. The present study fills this gap by employing a multi-case research. The findings accentuate that flexible and well-designed architecture enables different pricing models, however, poorly designed architecture limits also the pricing. Scalability and high level of modularity are the major enablers of a great variety of pricing models. Using public cloud services may lead to introducing usage-based pricing or in the contrary, making the pricing simpler. Applying multi-tenancy lowers the customizability, consequently the customers' negotiation power decreases. Pricing may give special requirements to the architectural design, such as scalability, customizability and additional components.

Country
Finland
Related Organizations
Keywords

SaaS, ta113, cloud, SaaS architecture, Ohjelmistotuotanto, hinnoittelu

  • BIP!
    Impact byBIP!
    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%