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Authors: Mohammed Mreea ; Dharmendra Sharma ; Kumudu Munasinghe and Chaminda Hewamaddumage

Affiliation: University of Canberra, Australia

ISBN: 978-989-758-243-1

Keyword(s): Cloud Computing, Public Organization, Tipping Point, Cloud Factors, Service Delivery Models, Saudi Arabia.

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. (More)

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Paper citation in several formats:
Mreea, M.; Sharma, D.; Munasinghe, K. and 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, ISBN 978-989-758-243-1, pages 449-458. DOI: 10.5220/0006300504490458

@conference{closer17,
author={Mohammed Mreea. and Dharmendra Sharma. and Kumudu Munasinghe. and Chaminda Hewamaddumage.},
title={Investigating Cloud Adoption Model using Analytics: 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={449-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006300504490458},
isbn={978-989-758-243-1},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Investigating Cloud Adoption Model using Analytics: A Case Study of Saudi Government Agencies
SN - 978-989-758-243-1
AU - Mreea, M.
AU - Sharma, D.
AU - Munasinghe, K.
AU - Hewamaddumage, C.
PY - 2017
SP - 449
EP - 458
DO - 10.5220/0006300504490458

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