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Title: Holistic approach framework for cloud computing strategic decision-making in the healthcare sector (HAF-CCS)
Author: Alharbi, Fawas
ISNI:       0000 0004 6495 7493
Awarding Body: Staffordshire University
Current Institution: Staffordshire University
Date of Award: 2017
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Cloud Computing is an evolving information technology paradigm that impacts many sectors in many countries. Cloud Computing offers IT services anytime, anywhere via any device and is applicable to healthcare organisations, offering a potential cost saving of 15% to 37%. This research investigates Cloud Computing as a facilitating technology to solve some of the challenges experienced by healthcare organisations such as the high cost of implementing IT solutions. The purpose of this research is to develop and apply an Holistic Approach Framework for Cloud Computing Strategic Decision-Making in the Healthcare Sector (HAF-CCS) to provide a systematic approach to the adoption of Cloud Computing that considers different perspectives. Although, Cloud Computing is becoming widely used, there is limited evidence in the literature concerning its application in the Saudi healthcare sector. In the thesis, current cloud adoption decision-making frameworks are analysed and the need to develop a strategic framework for Cloud Computing decision-making processes which emphasises a multidisciplinary holistic approach is identified. Understanding the different strategic aspects of Cloud Computing is important and could encourage organisations to adopt this model of computing since the decision regarding whether to adopt Cloud Computing is potentially a complex process; there are many perspectives to be considered, and studying this process requires a multiple perspective framework. The framework developed in this thesis aims to support decision-makers in healthcare organisations by covering five perspectives of Cloud Computing adoption: Organisation, Technology, Environment, Human and Business. The framework integrates the TOE (Technology-Organisation-Environment) framework with the Information Systems Strategy Triangle (IS Triangle) and the HOT-fit (Human- Organisation-Technology) model to support an holistic evaluation of the determinants of Cloud Computing adoption in healthcare organisations. The factors that will affect Cloud Computing adoption in healthcare organisations in Saudi Arabia have been identified using quantitative and qualitative methods, and a case study approach was implemented to validate the framework. The results of the validation showed that the framework can support decision-makers in understanding an organisation’s position regarding Cloud Computing and identifying any gaps that may hinder Cloud Computing adoption. The framework can also provide healthcare organisations with a strategic assessment tool to help in gaining the advantages of Cloud Computing.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available