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Analysis of Attitude, Trust, and Subjective Norm Impact on Intention to Use Profile Verification in Dating Applications in Indonesia

Kenny Prasetyo ; Xenia Dharmawan ; Erwin Halim ; Marylise Hebrard (2023) — 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)

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DOI: 10.1109/iccosite57641.2023.10127777 (opens in a new tab)

Country:   Indonesia
Tags:   Fake Profiles, Indonesia, Online Dating, Profile Verification, Romance Scams, Structural Equation Modeling, Trust, User Intention
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Synopsis

            
The publication examines how attitude, trust, and subjective norms influence Indonesian users’ intention to use profile verification in online dating applications. Its stated purpose is to determine the impact of these constructs on the willingness to engage with profile verification technology designed to detect fake profiles and protect users from romance scams. The authors build a research model using established theories (Technology Acceptance Model and Theory of Planned Behavior) and additional variables such as perceived usefulness, perceived ease of use, perceived credibility, perceived risk, trust, attitude, and subjective norms. Data were gathered via a primary survey of 561 online dating app users in Indonesia during October 2022, with 482 valid responses after outlier removal. Structural Equation Modeling with SMART PLS 4.0 was employed to test the relationships among the constructs. The measurement model reportedly met reliability and validity criteria, and the structural model produced significant path coefficients for the proposed hypotheses. The principal finding reported is that all hypothesized relationships were significant: perceived usefulness and perceived ease of use significantly shape attitude; perceived credibility and perceived risk influence trust and attitude; attitude and trust significantly affect intention to use profile verification; and subjective norms also exert a significant effect on intention. The authors discuss implications for designing profile verification features and for future research, noting the study’s Indonesia-specific sample as a limitation and suggesting broader cross-national research to enhance generalizability. They also acknowledge opportunities to expand investigation of related technologies within online dating contexts.

          

        
                  

            
Identified Gaps

            
The authors identify limited availability of journals on specific dating-app topics and insufficient research on specific technologies in online dating applications. They also indicate that evidence from respondents outside Indonesia is needed to address potential geographic bias.

          

        
                  

            
Methods

            
The study surveyed 561 Indonesian dating-app users in October 2022 using a five-point Likert questionnaire distributed through social media and group organizations. After removing 10 outliers from 492 respondents who had used dating apps, the authors analyzed 482 cases. They tested a Technology Acceptance Model/Theory of Planned Behavior-based model using partial least squares structural equation modeling in SmartPLS 4.0.

          

        
                  

            
Limitations

            
The authors state that respondents were only from Indonesia, creating possible geographic bias. Recruitment through student associations, other organizations, and social-media channels may also limit representativeness. The study measures self-reported intention to use profile verification rather than verified uptake, effectiveness, or reduction of romance-scam victimization.

          

        
                  

            
Future Work

            
Recruit respondents from multiple countries to reduce geographic bias. Conduct more research on specific technologies used in online dating applications, including profile-verification technology.

          

              

    
    

        
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