Abstract
The pervasive and expanding interest of many organizations worldwide in adopting cloud technology affirms its effectiveness in terms of cost and time. However, one of the challenging decisions facing management in adopting cloud services is what combinations of cloud service delivery (SaaS, PaaS, or, IaaS) and deployment models (Private, Public, Hybrid, or Community) to take on. A literature review found a lack of research work addressing this selection decision problem. To fill the research gap, the paper proposes an expert system approach for reaching a managerial decision on the right combination of service delivery and deployment models for a business firm to adopt. The paper proposes a rule-based expert system prototype, which provides advice based on criteria that utilize a set of relevant key characteristics of the cloud service delivery and deployment models. Then it evaluates the system prototype. Lastly, the paper will conclude with a discussion of the research results, its practical implications, limitations, and further research directions.
| Original language | English |
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| Title of host publication | Proceedings of the 10th IADIS International Conference on Information Systems 2017, IS 2017 |
| Editors | Philip Powell, Luis Rodrigues, Miguel Baptista Nunes, Pedro Isaias |
| Publisher | IADIS |
| Pages | 133-144 |
| Number of pages | 12 |
| ISBN (Electronic) | 9789898533623 |
| State | Published - 2017 |
Publication series
| Name | Proceedings of the 10th IADIS International Conference on Information Systems 2017, IS 2017 |
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Bibliographical note
Publisher Copyright:© 2017 IADIS Press.
Keywords
- Expert systems
- characteristics of cloud computing models
- cloud computing adoption
- cloud computing management
- cloud deployment models
- cloud service models
ASJC Scopus subject areas
- Information Systems