article

Providing Software as a Service: a design decision(s) model

Authors:

Sanjeev KumarAuthors Info & Claims

Information Systems and e-Business Management, Volume 16, Issue 2

Pages 327 - 356

https://doi.org/10.1007/s10257-017-0356-9

Published: 01 May 2018 Publication History

Abstract

We examine how Software as a Service (SaaS) providers make different design decisions using a theoretical model. We consider two non-functional attributes: modularity of the software architecture and the architectural performance of the software. We model the relationship of these two attributes with factors such as user preferences, user demand, and the price of the service. In a significant departure from traditional models of IS product development, we considered marginal cost and maintenance cost of providing SaaS service to recognize that the SaaS service has characteristics of both a product and a service. We show how to find the optimal values of design attributes that maximize SaaS provider's profits, taking into account relevant factors such as user preferences, user demand and service price. Our research provides one of the first analytical models of optimal design decision making by SaaS providers. We use the model to further show how the SaaS providers should adjust the service design in response to changes in user preferences, associated costs and other relevant factors.

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Cited By

Chen M(2023)Grey relational analysis-driven optimization of neutrosophic MAGDM for cloud SaaS credibility evaluationInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-23011627:4(437-449)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.3233/KES-230116
Xiao ZShu WOwusu A(2021)An analysis of product strategy in cloud transition considering SaaS customizationInformation Systems and e-Business Management10.1007/s10257-020-00499-919:1(281-311)Online publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1007/s10257-020-00499-9
Skhiri RFresse VJamont JSuffran BMalek J(2019)From FPGA to Support Cloud to Cloud of FPGAInternational Journal of Reconfigurable Computing10.1155/2019/80854612019Online publication date: 5-Dec-2019
https://dl.acm.org/doi/10.1155/2019/8085461
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cover image Information Systems and e-Business Management

Information Systems and e-Business Management Volume 16, Issue 2

May 2018

229 pages

ISSN:1617-9846

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Copyright © Copyright © 2018 Springer-Verlag GmbH Germany, part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 May 2018

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Cited By

Chen M(2023)Grey relational analysis-driven optimization of neutrosophic MAGDM for cloud SaaS credibility evaluationInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-23011627:4(437-449)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.3233/KES-230116
Xiao ZShu WOwusu A(2021)An analysis of product strategy in cloud transition considering SaaS customizationInformation Systems and e-Business Management10.1007/s10257-020-00499-919:1(281-311)Online publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1007/s10257-020-00499-9
Skhiri RFresse VJamont JSuffran BMalek J(2019)From FPGA to Support Cloud to Cloud of FPGAInternational Journal of Reconfigurable Computing10.1155/2019/80854612019Online publication date: 5-Dec-2019
https://dl.acm.org/doi/10.1155/2019/8085461
Saltan ASmolander KGrünbacher PHyrynsalmi SJansen S(2019)Do we know how to price SaaS: a multi-vocal literature reviewProceedings of the 2nd ACM SIGSOFT International Workshop on Software-Intensive Business: Start-ups, Platforms, and Ecosystems10.1145/3340481.3342731(7-12)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3340481.3342731

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