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On-Premise or Cloud Enterprise Application Deployment: Fit-Gap Perspective

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Enterprise Information Systems (ICEIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 378))

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Abstract

The fit-gap analysis of enterprise applications allows to identify their customization needs during implementation at a company. The enterprise applications provide a set of customization tools and customization flexibility is affected by a deployment mode. The on-premise deployment requires effort to install the application and its updates while there are a few restrictions on depths and breath of customization. The cloud deployment of Software as a Service applications is easier to setup while there are some restrictions of kind of customizations made. This paper elaborates an optimization model to select an enterprise application customization strategy as a part of the fit-gap analysis in the case of the choice between on-premise and cloud deployment of the enterprise application. The model also takes into account newly released standard features provided by the vendor of the enterprise applications. The model analysis is performed to investigate factors affecting the choice between on-premise and cloud deployment and an impact of company’s customization preferences on the gaps resolution strategy. An application example is also provided.

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Authors and Affiliations

  1. Information Technology Institute, Riga Technical University, Kalku 1, Riga, Latvia

    Jānis Grabis

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  1. Jānis Grabis
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Correspondence to Jānis Grabis .

Editor information

Editors and Affiliations

  1. INSTICC and Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. George Mason University, Fairfax, VA, USA

    Alexander Brodsky

  4. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

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Grabis, J. (2020). On-Premise or Cloud Enterprise Application Deployment: Fit-Gap Perspective. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2019. Lecture Notes in Business Information Processing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-40783-4_19

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  • DOI: https://doi.org/10.1007/978-3-030-40783-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40782-7

  • Online ISBN: 978-3-030-40783-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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