Investigating cloud adoption model using analytics

A case study of Saudi government agencies

Mohammed Mreea, Dharmendra Sharma, Kumudu Munasinghe, Chaminda Hewamaddumage

Research output: A Conference proceeding or a Chapter in BookConference contribution

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 are adoption challenges in uptake of cloud by government agencies .this paper seeks to identify the cloud computing attributes which are relevant to public organizations, investigate the factors affecting the adoption and develop a response to an effective model to address the challenges. Sample government agencies from Saudi Arabia are used to investigate the challenges and the characteristics for which an adoption model is motivated. The proposed model consists of case studies findings based on analysis of evidence from these organizations. Random samples from different categories in professionalism in Saudi Arabia participate in the questionnaire to extract and confirm influence factors from which insights are derived through classification. The results are then used to determine the tipping point for the uptake of the appropriate cloud model for services provided by government agencies in the Saudi Arabia context. This paper presents the context, motivations, data collection approach, analytics on survey results, tipping point parameters and the principle factors for cloud adoption. Some initial results are presented and future work is summarized.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER
PublisherScitepress
Pages449-458
Number of pages10
ISBN (Electronic)9789897582431
DOIs
Publication statusPublished - 1 Jan 2017
Event7th International Conference on Cloud Computing and Services Science, CLOSER 2017 - Porto, Portugal
Duration: 24 Apr 201726 Apr 2017

Conference

Conference7th International Conference on Cloud Computing and Services Science, CLOSER 2017
CountryPortugal
CityPorto
Period24/04/1726/04/17

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Cloud computing
Innovation
Internet

Cite this

Mreea, M., Sharma, D., Munasinghe, K., & Hewamaddumage, C. (2017). Investigating cloud adoption model using analytics: A case study of Saudi government agencies. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER (pp. 449-458). Scitepress. https://doi.org/10.5220/0006300504490458
Mreea, Mohammed ; Sharma, Dharmendra ; Munasinghe, Kumudu ; Hewamaddumage, Chaminda. / Investigating cloud adoption model using analytics : A case study of Saudi government agencies. Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER. Scitepress, 2017. pp. 449-458
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Mreea, M, Sharma, D, Munasinghe, K & Hewamaddumage, C 2017, Investigating cloud adoption model using analytics: A case study of Saudi government agencies. in Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER. Scitepress, pp. 449-458, 7th International Conference on Cloud Computing and Services Science, CLOSER 2017, Porto, Portugal, 24/04/17. https://doi.org/10.5220/0006300504490458

Investigating cloud adoption model using analytics : A case study of Saudi government agencies. / Mreea, Mohammed; Sharma, Dharmendra; Munasinghe, Kumudu; Hewamaddumage, Chaminda.

Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER. Scitepress, 2017. p. 449-458.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Mreea M, Sharma D, Munasinghe K, Hewamaddumage C. Investigating cloud adoption model using analytics: A case study of Saudi government agencies. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER. Scitepress. 2017. p. 449-458 https://doi.org/10.5220/0006300504490458