Masterarbeit, 2025
158 Seiten
CHAPTER 1 INTRODUCTION
1.1 Introduction to E-Health and its Adoption
1.2 Project Background
1.3 Focused E-Health Areas
1.4 Problem Statement
1.5 Research Questions
1.6 Research Hypotheses
1.7 Project Purpose or Aim
1.8 Project Objectives
1.9 Scope of the Project
1.10 Project Significance and Contributions
1.10.1 Overall Significance
1.10.2 Practical Contribution for Professionals, Organizations, and Policymakers
1.10.3 Theoretical Contributions for Researchers
1.10.4 Practical Contributions for Developers
1.11 Overview of Project Structure
1.12 Project Plan
1.13 Chapter Summary
CHAPTER 2 LITERATURE REVIEW
2.1 Background
2.2 E-Health Adoption in African Developing Nations
2.3 E-Health Adoption in Asian Developing Nations
2.4 Global Challenges and Opportunities of E-Health Adoption
2.5 E-Health Adoption in Nepal: Challenges and Opportunities
2.6 Related Works
2.7 Literature Review Matrix
2.8 Critical Analysis, Synthesis, and Research Gaps
2.9 Applied Theoretical Frameworks
2.9.1 UTAUT
2.9.2 TOE
2.10 Chapter Summary
CHAPTER 3 RESEARCH METHODOLOGY
3.1 Research Design or Methodology with Flowchart
3.2 Conceptual Model
3.3 Independent Variables
3.4 Moderating Variables
3.5 Dependent Variables
3.6 Research Onion Framework
3.7 Justifying the Proposed Methods for Research Design
3.8 Data Collection Technique
3.9 Sampling Method and Process
3.10 Sample Selection Criteria
3.11 Pilot Study
3.12 Data Validation and Reliability of Questionnaire
3.13 Data Analysis Techniques
3.14 Ethical Considerations
3.15 Limitations and Mitigation Methods
3.16 Measurement Definition of Variables
3.17 Chapter Summary
CHAPTER 4 DATA ANALYSIS AND INTERPRETATION
4.1 Pilot Test Outcome
4.2 Data Cleaning
4.3 Cronbach’s Alpha Reliability Testing
4.4 Descriptive Analysis
4.4.1 Demographics of Respondents
4.4.2 Performance Expectancy
4.4.3 Effort Expectancy
4.4.4 Facilitating Conditions
4.4.5 Perceived Security and Privacy
4.4.6 Social Influence
4.4.7 Cost
4.4.8 Behavioral Intention
4.4.9 Actual Use
4.4.10 Descriptive Analysis (All Variables)
4.4.11 E-Health Actual Usage
4.5 Inferential Analysis
4.5.1 Correlation Analysis
4.5.2 Linear Regression Analysis for Hypothesis Testing
4.6 Chapter Summary
CHAPTER 5 DISCUSSION AND FINDINGS
5.1 Discussion of the Analysis Results
5.2 Findings for the Research Questions
5.3 Findings from the Hypotheses
5.4 Challenges of Data Analysis and Limitations in Findings
5.5 Implications of the Findings
5.6 Chapter Summary
CHAPTER 6 CONCLUSION AND RECOMMENDATIONS
6.1 Conclusion
6.2 Recommendations, Strategies, and Solutions
6.3 Contribution and Importance of the Study
6.4 Future Research Possibilities
6.5 Chapter Summary
This project aims to evaluate the factors impacting the behavioral intention of healthcare professionals in Nepal to adopt E-Health systems and their actual usage behavior. It seeks to identify the key challenges hindering adoption and the potential opportunities that can enhance E-Health implementation strategies.
1.1 Introduction to E-Health and its Adoption
ICT provides multiple innovative ways for communication, creation, distribution, storing, accessing, communication, and management of information using technology. It has influenced different sectors, such as education, communication, banking, and information management. One of those areas where ICT has transformed is healthcare. This is how ICT introduced the term ‘electronic health.’ In simpler words, E-Health means the usage of numerous technologies to give health-related services via the Internet (Fonseca et al., 2021). Previous investigation by (Schreiweis et al., 2019) has mentioned the initial 1999-based definition of the term ‘E-Health.’ E-Health is “the accumulated utilization of ICT in the health sector. There can be transmission, storage, and retrieval of this digitized data to fulfill different health, learning, and management-related requirements.”
Hence, ICT has brought transformation into the health arena through the integration of E-Health technologies and healthcare services. This is by the enhancement in the accessible nature, quality service, and efficiency of health-related data management and health service delivery. In fact, it offers smooth health information transmission among stakeholders, like healthcare providers, laboratories, and pharmacies. Ultimately, it also improves patient outcomes and streamlines administrative procedures of health organizations (Elfituri, 2025).
CHAPTER 1 INTRODUCTION: This chapter introduces the project's background, problem statement, research objectives, and the overall scope regarding E-Health adoption in Nepal.
CHAPTER 2 LITERATURE REVIEW: This chapter reviews existing literature on E-Health adoption in various regions and identifies research gaps that justify the use of an integrated UTAUT and TOE framework.
CHAPTER 3 RESEARCH METHODOLOGY: This chapter outlines the research design, detailing the quantitative approach, sampling procedures, and data collection methods employed for the study.
CHAPTER 4 DATA ANALYSIS AND INTERPRETATION: This chapter presents the statistical results from the survey, including reliability testing, descriptive analysis, and inferential analysis using correlation and linear regression.
CHAPTER 5 DISCUSSION AND FINDINGS: This chapter interprets the statistical results to address the research questions and hypotheses, evaluating the drivers and barriers for E-Health adoption among professionals.
CHAPTER 6 CONCLUSION AND RECOMMENDATIONS: This final chapter synthesizes the research findings and provides actionable strategies for stakeholders to enhance E-Health adoption in Nepal.
E-Health adoption, behavioral intention, UTAUT, TOE, performance expectancy, effort expectancy, facilitating conditions, social influence, perceived security, privacy, cost, healthcare professionals, Nepal, digital health technologies, user behavior.
This research evaluates the current state of E-Health adoption among healthcare professionals in Nepal, identifying the behavioral drivers and organizational barriers that influence their usage.
The study uses a tailored theoretical framework that combines constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology-Organization-Environment (TOE) model.
The core objective is to analyze how factors like performance expectancy, cost, and social influence affect adoption intent and actual E-Health usage, while providing actionable recommendations for stakeholders.
A quantitative methodology is applied, utilizing a survey questionnaire distributed to 343 healthcare professionals in Nepal, followed by statistical analysis via IBM SPSS.
The body covers a comprehensive literature review, the conceptual model development, detailed data analysis of various variables, and an in-depth discussion of the findings related to adoption challenges and opportunities.
Key terms include E-Health adoption, UTAUT, TOE, behavioral intention, and performance expectancy, among others relating to digital health in the Nepalese context.
The findings reveal that performance expectancy is a strong predictor; as health professionals perceive greater utility and efficiency in E-Health tools, their behavioral intention to adopt them increases significantly.
Social influence, such as peer encouragement and management leadership, was found to have a significant positive impact, highlighting that organizational support is a key driver for successful E-Health integration.
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