Cloud Computing Financial and Cost Analysis: A Case Study of Saudi Government Agencies

Mohammed Mreea, Kumudu Munasinghe, Dharmendra Sharma

2017

Abstract

Cloud computing is an innovation in world technology. It is used to provide organization services as a utility service through internet and innovative uptake of cloud for improved effectiveness and efficiency. There is an absence of academic studies about the financial feasibility and implementation cost to uptake of cloud by government agencies. This paper seeks to identify the cloud computing financial indicators and implementation cost variables which are relevant to public organizations. The proposed model consists of Saudi case study findings based on analysis of evidence from Saudi government organization. Random samples from different categories in professionalism in Saudi Arabia participated in the questionnaire to extract and confirm financial indicators and implementation cost variables. The results indicate a return on investment (ROI) and total cost ownership (TCO) are the main financial indicators to study cloud adoption. Also, data centre variable and fixed cost parameters play the main role to calculate cloud implementation cost.

References

  1. Ahuja, V., J. Yang and R. Shankar (2009). "Benefits of collaborative ICT adoption for building project management." Construction Innovation 9(3): 323-340.
  2. Alharbi, F., Atkins, A., & Stanier, C. (2015). Strategic framework for cloud computing decision-making in healthcare sector in Saudi Arabia. In "The seventh international conference on ehealth, telemedicine, and social medicine "(pp. 138-144).
  3. Alharbi, S. T. (2012). "Users' acceptance of cloud computing in Saudi Arabia: an extension of technology acceptance model." International Journal of Cloud Applications and Computing (IJCAC) 2(2): 1-11.
  4. Alshamaila, Y., S. Papagiannidis and F. Li (2013). "Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework." Journal of Enterprise Information Management 26(3): 250-275.
  5. Alshomrani, S. and S. Qamar (2013). "Cloud Based EGovernment: Benefits and Challenges." International Journal of Multidisciplinary Sciences and Engineering 4(6): 1-7.
  6. Amazon (2016). "Amazon elastic compute cloud." Retrieved 13-09-2016, from http://www.amazon.com/ ec2/
  7. Azure, M. (2016). "Microsoft azure.". Retrieved 15-09- 2016, from http://www.microsoft.com/azure/
  8. Bhisikar, A. (2011). "G-Cloud: New Paradigm Shift for Online Public Services." International Journal of Computer Applications 22(8): 24-29.
  9. Borgman, H. P., B. Bahli, H. Heier and F. Schewski (2013). Cloudrise: exploring cloud computing adoption and governance with the TOE framework. System Sciences (HICSS), 2013 46th Hawaii International Conference on, IEEE.
  10. Chanchary, F. and S. Islam (2011). E-government based on cloud computing with rational inference agent. High Capacity Optical Networks and Enabling Technologies (HONET), 2011, IEEE.
  11. Chang, B.-Y., P. H. Hai, D.-W. Seo, J.-H. Lee and S. H. Yoon (2013). The determinant of adoption in cloud computing in Vietnam. Computing, Management and Telecommunications (ComManTel), 2013 International Conference on, IEEE.
  12. Chen, X., G. Wills, L. Gilbert and D. Bacigalupo (2010). "Using cloud for research: A technical review." JISC final report.
  13. Depietro, R., E. Wiarda and M. Fleischer (1990). "The context for change: Organization, technology and environment." The processes of technological innovation: 151-175.
  14. Hellerstein, J. M. (2008). Quantitative Data Cleaning for Large Databases. United Nations Economic Commission for Europe (UNECE).
  15. IDC. (2016). Retrieved 06-07-2016, from http://idccema.com/eng/trendspotter/63277-ready-fordigital-disruption-cloud-computing-becomesreality-in-saudi-arabia.
  16. Lin, A. and N.-C. Chen (2012). "Cloud computing as an innovation: Percepetion, attitude, and adoption." International Journal of Information Management 32(6): 533-540.
  17. Low, C., Y. Chen and M. Wu (2011). "Understanding the determinants of cloud computing adoption." Industrial management & data systems 111(7): 1006-1023.
  18. McGeogh, B. T. and B. Donnellan (2013). Factors That Affect The Adoption Of Cloud Computing For An Enterprise: A Case Study Of Cloud Adoption Within Intel Corporation. ECIS.
  19. Mell, P. and T. Grance (2010). "The NIST definition of cloud computing." Communications of the ACM 53(6): 50.
  20. Misra, S. C. and A. Mondal (2011). "Identification of a company's suitability for the adoption of cloud computing and modelling its corresponding Return on Investment." Mathematical and Computer Modelling 53(3): 504-521.
  21. Mohammed, F. and O. Ibrahim (2014). "A Survey on Cloud Government Models.".
  22. Morgan, L. and K. Conboy (2013). "Factors affecting the adoption of cloud computing: an exploratory study.".
  23. Nkhoma, M. Z., D. P. Dang and A. De Souza-Daw (2013). Contributing factors of cloud computing adoption: a technology-organisation-environment framework approach. Proceedings of the European Conference on Information Management & Evaluation.
  24. Oliveira, T. and M. F. Martins (2008). A Comparison of Web Site Adoption in Small and Large Portuguese Firms. ICE-B, Citeseer.
  25. Peiris, C., B. Balachandran and D. Sharma (2010). "Governance framework for cloud computing." Journal on Computing (JoC) 1(1).
  26. Rastogi, A. (2010). "A model based approach to implement cloud computing in e-Governance." International Journal of Computer Applications 9(7): 15-18.
  27. Rosli, K., P. H. Yeow and E.-G. Siew (2012). "Factors influencing audit technology acceptance by audit firms: A new I-TOE adoption framework." Journal of Accounting and Auditing: Research & Practice 2012: 1-11.
  28. Saedi, A. and N. A. Iahad (2013). An Integrated Theoretical Framework for Cloud Computing Adoption by Small and Medium-Sized Enterprises. PACIS.
  29. Schubert, L., K. G. Jeffery and B. Neidecker-Lutz (2010). The Future of Cloud Computing: Opportunities for European Cloud Computing Beyond 2010:--expert Group Report, European Commission, Information Society and Media.
  30. Wen, K.-W. and Y. Chen (2010). "E-business value creation in Small and Medium Enterprises: a US study using the TOE framework." International Journal of Electronic Business 8(1): 80-100.
  31. Yamin, M. (2013). "Cloud Economy of Developing Countries." World 3(3).
  32. Yesser. (2015). "E-Government Program." Retrieved 15/10, 2015, from www.yesser.gov.sa.
Download


Paper Citation


in Harvard Style

Mreea M., Munasinghe K. and Sharma D. (2017). Cloud Computing Financial and Cost Analysis: A Case Study of Saudi Government Agencies . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 459-466. DOI: 10.5220/0006300804590466


in Bibtex Style

@conference{closer17,
author={Mohammed Mreea and Kumudu Munasinghe and Dharmendra Sharma},
title={Cloud Computing Financial and Cost Analysis: A Case Study of Saudi Government Agencies},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={459-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006300804590466},
isbn={978-989-758-243-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Cloud Computing Financial and Cost Analysis: A Case Study of Saudi Government Agencies
SN - 978-989-758-243-1
AU - Mreea M.
AU - Munasinghe K.
AU - Sharma D.
PY - 2017
SP - 459
EP - 466
DO - 10.5220/0006300804590466