||Thank You, Next: Examining Factors That Drives Users Away From Mobile Dating Apps
||Thank You, Next: Examining Factors That Drives Users Away From Mobile Dating Apps
||Institute of International Management
Mobile dating apps
Sexual harassment concern
Location tracking concern
Discontinuous usage intention
Desire for partner is one of the basic human needs. In this modern era, the way people interact with each other to find potential mate is shaped by technology. The rise of smartphone paved way for mobile dating apps as the popular alternative among people around the world. Despite of its popularity, many people also experienced negative experiences when using mobile dating apps. Our study aims to examine which factors that influence people to consider to stop using mobile dating apps. We hypothesized that there are some factors that cause discontinuous usage intention, namely sexual harassment concern, choice overload, data vulnerability, location tracking concern, and psychological fatigue. We conducted our study in Mturk, in which we gathered 436 respondents in our study. The result of the study shows that data vulnerability positively influences psychological fatigue, while location tracking concern, and psychological fatigue strongly influence discontinuous usage intention.
TABLE OF CONTENTS
TABLE OF CONTENTS II
LIST OF TABLES IV
LIST OF FIGURES V
CHAPTER ONE INTRODUCTION 1
1.1 Research Background and Motivation. 1
1.2 Research Objectives. 3
1.3 Research Flow. 4
CHAPTER TWO LITERATURE REVIEW 6
2.1 Stressor-Strain-Outcome Model (SSO). 6
2.2 Stressors on Dating App. 8
2.2.1 Sexual Harassment Concern. 8
2.2.2 Choice Overload. 9
2.2.3 Data Vulnerability. 11
2.2.4 Location Tracking. 12
2.2.5 Psychological Fatigue. 14
CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 16
3.1 Research Framework. 16
3.2 Definition of Variables. 17
3.2 Research Procedures. 18
3.3 Construct Measurements. 20
3.4 Data Analysis Procedure. 22
3.4.1 Descriptive Statistical Analysis. 22
3.4.2 Factor Analysis and Reliability Test. 22
3.4.3 Structural Equation Modelling. 22
CHAPTER FOUR RESEARCH RESULTS 24
4.1 Study Result. 24
4.1.1 Respondents Characteristic. 24
4.1.2 Analysis of Descriptive Statistics. 27
4.1.3 Factor Analysis and Reliability Test. 28
4.1.4 Pearson Correlation Coefficient. 32
4.1.5 Confirmatory Factor Analysis in AMOS. 34
4.1.6 Structural Equation Modelling (SEM) and hypotheses testing. 37
CHAPTER FIVE CONCLUSION AND SUGGESTIONS 39
5.1 Research Discussion. 39
5.2 Theoretical and Managerial Implications. 42
5.2.1 Theoretical Implications. 43
5.2.2 Managerial Implication. 45
5.3 Limitation and Direction for Future Research. 47
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