Doktorarbeit / Dissertation, 2013
169 Seiten, Note: 3.87/4.00
CHAPTER 1:RATIONALE
1.1. Problem Statement
1.2. Background/Introduction-Technology Acceptance and Cloud Computing
1.3. Research Objectives
1.4. Research Questions
1.5. Significance of Research
1.6. Organization of Research
CHAPTER 2: LITERATURE REVIEW
2.1. Empirical Research in Cloud Computing Technology
2.1.1. Definition of Cloud Computing
2.1.2. Characteristics of Cloud Computing
2.1.3. Cloud Computing Technology
2.1.4. Service Models
2.1.5. Deployment Models
2.1.6. How Cloud Computing Works
2.1.7. Cloud Computing Applications
2.1.8. Advantages of Cloud Computing
2.1.9. Disadvantages of Cloud Computing
2.1.10. Gaps in Cloud Computing Literature
2.2. Empirical Research in Relevant Disciplines: Theories of Technology Adoption
2.2.1. Theory of Reasoned Action
2.2.2. Theory of Planned Behavior
2.2.3. Technology Acceptance Model
2.2.4. TAM2
2.2.5. Decomposed Theory of Planned Behavior (decomposed TPB)
2.2.6. Motivational Model
2.2.7. The Model of PC Utilization
2.2.8. The Innovation Diffusion Theory
2.2.9. The Unified Theory of Acceptance and Use of Technology (UTAUT)
2.2.10. Social Exchange Theory (SET)
2.2.11. Gaps in Technology Acceptance Model Literature
CHAPTER 3: METHODOLOGY
3.1. Theoretical Framework
3.1.1. The Proposed Model
3.1.2. Research Hypothesis / Questions
3.1.3. Operational Definitions of Variables
3.1.4. Rival Hypothesis
3.1.5. Plausibility Assessment of Rival Hypotheses
3.2. Research Design Approach
3.3. Context of Study
3.3.1. Setting
3.3.2. Population
3.3.3. Limitations
3.3.4. Sample Design and Selection
3.4. Feasibility Analysis and Design Selection
3.4.1. Data Collection
3.4.2. Methods of Measurement
3.4.3. Instrumentation
3.4.4. Data Collection Procedures
3.4.5. Data Coding
3.4.6. Data Collected
3.4.7. Data Quality Assessment
CHAPTER 4: RESULTS AND FINDINGS
4.1. Data analysis
4.1.1. Data Analysis Procedures
4.1.2. Data Analysis Methods
4.2. Results
4.2.1. Demographic Characteristics of the Respondents
4.2.2. Cross Tabulation of Results
4.2.3. Analysis of Relationships in TAM Framework
4.2.4. Hypotheses Testing
CHAPTER 5: IMPLICATIONS AND CONCLUSIONS
5.1. Contribution to Knowledge
5.2. Implication for Future Research
5.3. Implication for Practitioners
5.4. Implication for Policy Makers
5.5. Conclusions
The primary research objective is to develop and empirically test a unified theory of technology acceptance—the Technology Trade Theory (or Triple-T) model—by integrating the Social Exchange Theory into the Technology Acceptance Model (TAM). This research aims to address the limitations of existing technology adoption models by conceptualizing adopter behavior as a trade process where potential advantages and disadvantages are systematically weighed. The research seeks to answer whether the advantages of cloud computing initiatives effectively outweigh the perceived disadvantages for IT executives.
1.2. Background/Introduction-Technology Acceptance and Cloud Computing
Technology adoption has long been touted as a major enabler of organizational success. At the strategic level, technology adoption is widely accepted as a major driver of cost reductions, productivity improvements, more effective communication, higher quality products, increased business process efficiencies, and market expansion, among other many benefits (David, Agboh, & Radhakrishnan, 2010; Teo & Ranganathan, 2004).
In spite of the potential benefits which the adoption of IT offers, and perhaps because of the perceived attendant risks, there is striking unanimity in the technological adoption discourse that many organizations do not adopt new technology as intensely as others do. Against this background, the growth in the number of empirical studies focusing on technological adoption has been nothing short of dramatic. These studies have focused on a wide array of technologies, including: information technology (David, Agboh, & Radhakrishnan, 2010), clean technology (González, 2005), insect management technology (Harper et al, 1990), dust-removing technology (Ning, 1997), biometric security systems (Lease, 2005), among many others.
Within the Information Technology (IT) sphere, a number of studies have focused on specific areas, some of which include: E-mail adoption, The internet, The adoption of word processing or spread sheet applications, The adoption of the microcomputer, The adoption of internet browsers, and The adoption of data management applications.
CHAPTER 1:RATIONALE: This chapter introduces the problem of existing technology acceptance models, establishes the research objectives and questions, and outlines the significance and organization of the study.
CHAPTER 2: LITERATURE REVIEW: This chapter provides an extensive overview of existing research on cloud computing technology and established technology adoption theories, while identifying critical gaps in the current body of literature.
CHAPTER 3: METHODOLOGY: This section details the theoretical framework of the proposed Technology Trade Theory (Triple-T), the research design approach, and the data collection and measurement methods used to validate the model.
CHAPTER 4: RESULTS AND FINDINGS: This chapter presents the empirical results, including cross-tabulations and statistical analyses, to validate the Triple-T model and test the formulated hypotheses regarding adoption intentions.
CHAPTER 5: IMPLICATIONS AND CONCLUSIONS: This chapter discusses the contributions to knowledge, provides implications for future research, practitioners, and policy makers, and presents final conclusions based on the findings.
Cloud Computing, Technology Adoption, Technology Acceptance Model, TAM, Social Exchange Theory, SET, Triple-T Model, Technology Trade Theory, IT Executives, Adoption Intentions, Predictive Modeling, Cost-Benefit Analysis, Systemic Risk, Innovation Diffusion, UTAUT.
This work investigates the factors that influence the adoption of cloud computing initiatives among IT executives, specifically looking beyond technical implementations to understand the behavioral aspects and decision-making processes involved.
The study centers on the trade-off between perceived advantages (e.g., cost savings, scalability, automation) and disadvantages (e.g., security risks, lack of standards, loss of control) and how these factors influence behavioral intention and final adoption.
The primary goal is to develop and empirically test a unified theory of technology acceptance, termed the Technology Trade Theory (Triple-T), by integrating the Social Exchange Theory into the Technology Acceptance Model (TAM).
The researcher adopted a positivistic, quantitative approach. Data was collected using a panel study involving middle and top-level IT managers, with relationships assessed through the Pearson product-moment correlation coefficient and significance tested using paired two-tailed tests.
The main body covers the theoretical foundations of previous adoption models, a deep dive into cloud computing technologies, the development of the Triple-T framework, and a rigorous statistical validation of the model using survey data from IT executives.
The study is characterized by terms such as Technology Acceptance, Cloud Computing, Triple-T Model, Adoption Intention, and Social Exchange Theory.
The study finds that the proposed Triple-T model offers a more robust framework than the traditional TAM, successfully demonstrating that perceived advantages (specifically cost and time savings) and disadvantages (specifically security risks) significantly predict behavioral intentions.
The findings indicate that security concerns act as a significant barrier, where even when other functional advantages (like automation or remote access) are present, the potential risk to security is strong enough to lead prospective adopters to terminate their intention to adopt cloud computing systems.
The "Trade" process acknowledges that business decision-making is often utilitarian; IT executives perform a cost-benefit calculation where a single strong advantage or disadvantage can outweigh numerous minor factors in the final adoption decision.
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