Masterarbeit, 2018
131 Seiten, Note: 1,3
This Master's Thesis aims to investigate the influence of fear appeals on protection motivation concerning online privacy. It explores the phenomenon of data leaks and information theft and seeks to understand how fear appeals can motivate individuals to adopt better data protection behaviors. The study utilizes a quantitative approach based on the Protection Motivation Theory (PMT) to analyze the impact of fear appeals on protection intention.
The thesis begins by introducing the current state of online privacy concerns, including data leaks and the need for individuals to adopt better security practices. It then delves into the theoretical background of privacy, fear appeals, and the Protection Motivation Theory (PMT). The study's research model and methodology are outlined, including the development of a questionnaire and a website survey. Chapter 5 presents the results of the data analysis, focusing on the measurement validity, group results, and the impact of fear appeals on protection intention. Chapter 6 discusses the theoretical and practical implications of the findings, including limitations and a critical review of the research. Finally, the thesis concludes with a summary of the findings and recommendations for future research.
The key terms and concepts explored in this thesis include online privacy, data protection, fear appeals, Protection Motivation Theory, quantitative research, data analysis, survey methodology, theoretical implications, and practical implications. The study focuses on the impact of fear appeals on protection intention, contributing valuable insights into the complex relationship between fear and behavior change in the realm of online privacy.
The study finds a positive relationship between fear appeals (warnings about threats) and the intention of users to protect their personal data.
PMT is a psychological model used to explain how individuals process threats and decide on coping behaviors, consisting of threat appraisal and coping appraisal.
The website was used as a tool for fear-appeal manipulation, showing participants if their data had been compromised in known leaks.
It includes threat appraisal (severity and vulnerability), fear, and coping appraisal (response efficacy and self-efficacy).
It suggests that targeted fear appeals, combined with clear instructions on how to protect data, can effectively motivate end-users to improve their security habits.
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