1. Objectives
1.1. Identify opportunities CBDA offer to education.
1.2. Investigate factors impacted different organizations adopting cloud technologies
1.3. Create a CBDA Adoption Framework applicable in the Saudi Education context.
2. Literature Review
2.1. Level of Analysis
2.1.1. Individual
2.1.1.1. UTAUT1
2.1.1.2. UTAUT2
2.1.1.3. DOI
2.1.2. Organization
2.1.2.1. IOS
2.1.2.2. HOT-FIT
2.1.2.3. TOE
2.1.2.3.1. Integrability
2.1.2.3.2. Comprehensive Measurements
2.2. Research Problem
2.2.1. Org. Factors Influence Cloud Adoption
2.2.2. Identify Major vs non-Major ones
2.3. Investigation Methodology
2.3.1. SLR
2.3.2. Method
2.3.2.1. Webster (2002)
2.3.2.2. Petticrew & Roberts (2006)
2.3.2.3. Kitchenham (2009)
2.4. Integrated Analysis
2.4.1. What already known
2.4.2. New Findings
2.4.3. Document and Present
2.5. Discussion
2.5.1. Meta analysis
2.5.2. Similarities vs Differences
2.5.3. Consensus vs Disagreement
2.5.4. Evaluate results for gaps
2.5.4.1. Relevance
2.5.4.2. How recent
2.5.4.3. Quality
2.6. Document findings
2.6.1. Identify and classify factors
2.6.1.1. Technology factors
2.6.1.2. Organization factors
2.6.1.3. Environment Factors
2.6.2. Develop framework and hypothesis
3. Introduction
3.1. What is Big Data?
3.2. What is BI, BDA, and CBDA?
3.2.1. Use, Types, Pros
3.2.2. Why CBDA?
3.2.2.1. Innovation
3.2.2.2. Same relative advantage but less cost and complexity
3.3. How analytics is used so far?
3.3.1. Non-education domain
3.3.1.1. Value
3.3.1.2. Cases: Netflex, Facebook, etc.
3.3.2. Education Domain
3.3.2.1. Deliver Enhanced Education
3.3.2.2. Cases: JISC - UK
3.4. CBDA as Innovation
3.4.1. Innovation Diffusion
3.4.1.1. Concept
3.4.1.1.1. How innovation and service offering would be accepted by its users (Diffusion)
3.4.1.1.2. How quickly wold be the new innovation and service offering be accepted by its users. (Adoption)
4. Research Problem
4.1. Problem in Saudi Context
4.2. RQ
4.2.1. What are the org. factors affect the adoption of CBDA within Universities -using a case study from KSA.
5. Research Methodology
5.1. Mixed-method
5.1.1. Case Study
5.2. Data Collection
5.2.1. Questionnaire
5.3. Sample Selection
5.3.1. CIOs, IT Managers
5.4. Data Analysis
5.4.1. Factor Analysis
5.4.1.1. Exploratory
5.4.1.2. Confirmatory
6. Contribution
6.1. Solve real-world problem
6.2. Test/validate pre-cloud theorems
6.3. Create adoption predective model applciable in public education
6.4. IS Innovation BoK
6.4.1. IS diffusion
6.4.2. Adoption Studies