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Cost–benefit analysis – evaluation model of cloud computing deployment for use in companies

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  • Petra Maresova
  • Vladimir Sobeslav
  • Ondrej Krejcar

Abstract

The use of cloud computing services appears to offer significant cost advantages. The most frequently mentioned advantages include investment and operating costs saving, high elasticity of services as well as increased flexibility of certain business processes. On the other hand, the adoption of cloud computing in enterprise environments is non-trivial. Understanding the organizational benefits and drawbacks is far from straightforward. The adoption of cloud computing results in a considerable amount of organizational change that will affect employees. The aim of this contribution is to conduct and describe the evaluation model of cloud computing that would be applicable in business practice for evaluating the effectiveness of such investments. The target users of this model are primarily people in companies with decision-making power in the investment field. The appropriate starting point based on the multi-criteria evaluation was the cost–benefit analysis (CBA) approach for cloud computing (CC). A multi-method approach (systematic literature review, analysis of real cloud computing services, expert interview, case study) was applied in order to develop and evaluate the formal model. We found that our model fits the practical requirements and supports decision-making in cloud computing.

Suggested Citation

  • Petra Maresova & Vladimir Sobeslav & Ondrej Krejcar, 2017. "Cost–benefit analysis – evaluation model of cloud computing deployment for use in companies," Applied Economics, Taylor & Francis Journals, vol. 49(6), pages 521-533, February.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:6:p:521-533
    DOI: 10.1080/00036846.2016.1200188
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    References listed on IDEAS

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    1. Ekin Birol & Katia Karousakis & Phoebe Koundouri, 2006. "Using economic valuation techniques to inform water resources management: A survey and critical appraisal of available techniques and an application," DEOS Working Papers 0607, Athens University of Economics and Business.
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    Cited by:

    1. Oluwaseun Fadeyi & Ondrej Krejcar & Petra Maresova & Kamil Kuca & Peter Brida & Ali Selamat, 2019. "Opinions on Sustainability of Smart Cities in the Context of Energy Challenges Posed by Cryptocurrency Mining," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    2. Xin Li & Konstantinos J. Chalvatzis & Phedeas Stephanides, 2018. "Innovative Energy Islands: Life-Cycle Cost-Benefit Analysis for Battery Energy Storage," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
    3. Hana Tomaskova & Martin Kopecky, 2020. "Specialization of Business Process Model and Notation Applications in Medicine—A Review," Data, MDPI, vol. 5(4), pages 1-42, October.

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