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Evaluating cloud computing services from a total cost of ownership perspective

Author

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  • Marc Walterbusch
  • Benedikt Martens
  • Frank Teuteberg

Abstract

Purpose - Start‐up companies in particular can benefit from cloud computing services, since frequently they do not operate an internal IT infrastructure. The purpose of this paper is to present a total cost of ownership (TCO) approach for cloud computing services. Design/methodology/approach - The authors applied a multi‐method approach (systematic literature review, analysis of real cloud computing services, expert interviews, case study) for the development and evaluation of a formal mathematical TCO model. Findings - It was found that decision processes in cloud computing are conductedad hocand lack systematic methods. The presented method raises the awareness of indirect and hidden costs in cloud computing. Research limitations/implications - Some restrictive assumptions were made. For instance, cost types that focus on an existing internal IT infrastructure were hidden. Future research can combine risk and security aspects by means of a TCO approach. Additionally, benefits management in cloud computing is another new research field that can, for instance, be explored by means of cost‐benefit analyses. Practical implications - The analysis of relevant cost types and factors of cloud computing services is an important pillar of decision making in cloud computing. The software tool allows for an easy application of the TCO model with reasonable effort. Originality/value - The paper provides an evaluated mathematical model for the calculation of the TCO of cloud computing services. With this tool, decision makers are able to decide whether outsourcing into the cloud is monetarily attractive; to be more specific, whether the costs associated with cloud computing services are lower than with a pre‐existing infrastructure.

Suggested Citation

  • Marc Walterbusch & Benedikt Martens & Frank Teuteberg, 2013. "Evaluating cloud computing services from a total cost of ownership perspective," Management Research Review, Emerald Group Publishing Limited, vol. 36(6), pages 613-638, May.
  • Handle: RePEc:eme:mrrpps:v:36:y:2013:i:6:p:613-638
    DOI: 10.1108/01409171311325769
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    Citations

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    Cited by:

    1. Chen, Li-Ming & Chang, Wei-Lun, 2020. "Under what conditions can an application service firm with in-house computing benefit from cloudbursting?," European Journal of Operational Research, Elsevier, vol. 282(1), pages 71-80.
    2. Andrea Bacchetti & Stefano Bonetti & Marco Perona & Nicola Saccani, 2018. "Investment and Management Decisions in Aluminium Melting: A Total Cost of Ownership Model and Practical Applications," Sustainability, MDPI, vol. 10(9), pages 1-36, September.
    3. Senyo, Prince Kwame & Addae, Erasmus & Boateng, Richard, 2018. "Cloud computing research: A review of research themes, frameworks, methods and future research directions," International Journal of Information Management, Elsevier, vol. 38(1), pages 128-139.
    4. Jayalaxmi P Shetty & Rajesh Panda, 2021. "An overview of cloud computing in SMEs," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 175-188, December.
    5. Saccani, Nicola & Perona, Marco & Bacchetti, Andrea, 2017. "The total cost of ownership of durable consumer goods: A conceptual model and an empirical application," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 1-13.
    6. Se-Hak Chun, 2019. "Cloud Services and Pricing Strategies for Sustainable Business Models: Analytical and Numerical Approaches," Sustainability, MDPI, vol. 12(1), pages 1-15, December.

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