Hoang Manh Quyet’s research while affiliated with National Cheng Kung University and other places

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Publications (3)


Users' intention to disclose location on location-based social network sites (LBSNS) in mobile environment: privacy calculus and Big Five
  • Article

January 2017

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162 Reads

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12 Citations

International Journal of Mobile Communications

Hoang Manh Quyet

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Location-based social network sites (LBSNS) are the integrations of social network service and location-based service. In this study, we examine two opposite factors, the benefits and privacy concerns, which affect the disclosure intention of users on LBSNS in a mobile environment. We utilise the privacy calculus perspective framework on the disclosure intention of location information. Also, the Big Five model is used to examine the impacts of dispositional factors, such as personality traits, on the concern for privacy. The privacy control, legislation awareness and privacy invasion are control variables for both disclosure intention and privacy concern. Data were collected from 298 respondents residing in Ho Chi Minh City, Vietnam. The results indicate that the legislation awareness does not seem to exert a significant influence on both privacy concerns and disclosure intention; it can be explained by the poor effectiveness of legislation in a developing country like Vietnam. However, we clearly found ...


Users' intention to disclose location on locationbased social network sites (LBSNS) in mobile environment: Privacy calculus and Big Five

January 2017

·

80 Reads

·

19 Citations

International Journal of Mobile Communications

Location-based social network sites (LBSNS) are the integrations of social network service and location-based service. In this study, we examine two opposite factors, the benefits and privacy concerns, which affect the disclosure intention of users on LBSNS in a mobile environment. We utilise the privacy calculus perspective framework on the disclosure intention of location information. Also, the Big Five model is used to examine the impacts of dispositional factors, such as personality traits, on the concern for privacy. The privacy control, legislation awareness and privacy invasion are control variables for both disclosure intention and privacy concern. Data were collected from 298 respondents residing in Ho Chi Minh City, Vietname. The results indicate that the legislation awareness does not seem to exert a significant influence on both privacy concerns and disclosure intention; it can be explained by the poor effectiveness of legislation in a developing country like Vietnam. However, we clearly found that the benefits and privacy concerns have the opposite influence on behavioural decisions of social network users, with the former positively affecting disclosure intention and latter negatively. Moreover, findings in the study show that perceived benefits such as connectedness, locatability and personalisation have stronger effects than privacy concerns have stronger effects than privacy concerns do.


(*corresponding author) Chen, J.V., Su, B.C* and Quyet, H.M. (2016) “Users’ Intention to Disclose Location on Location-Based Social Network Sites (LBSNS) in Mobile Environment: Privacy Calculus and Big Five,” International Journal of Mobile Communications (Impact Factor: 1.221) (SSCI) (accepted June 2, 2016).

June 2016

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29 Reads

International Journal of Mobile Communications

Users’ Intention to Disclose Location on Location-Based Social Network Sites (LBSNS) in Mobile Environment: Privacy Calculus and Big Five Abstract Location-based social network sites (LBSNS) are the integrations of social network service and location-based service. In this study, we examine two opposite factors, the benefits and privacy concerns, which affect the disclosure intention of users on LBSNS in a mobile environment. We employ the privacy calculus perspective framework on the disclosure intention of location information. Also, the Big Five model is used to examine the impacts of dispositional factors, such as personality traits, on the concern for privacy. Data were collected from 298 respondents of Vietnam’s Ho Chi Minh City, who are representatives for social network users using smartphones. There is no common method variance existed among data collected. The results indicate that the legislation awareness do not show the significant influence on both privacy concerns and disclosure intention; it can be explained by the poor effectiveness of legislation in a developing country like Vietnam. However, we clearly found the benefits and privacy concerns have the opposite influence on behavioral decisions of social network site users, the former that positively affect disclosure intention while the latter negatively does. Also, findings in the study show that perceived benefits, such as connectedness, locatability, and personalization have stronger effects than privacy concerns do. Theoretical and practical implications for mobile service venders and legislators are provided.

Citations (2)


... Since personalized recommendation systems can use location-based service to monitor and track the user's behavior trajectory, it makes users worry about the leakage of personal location privacy information. Moreover, mining behavior tracking can obtain private information related to personal safety, such as the user's workplace and the residential address [29]. Wang [30] studied the actual user privacy protection mechanism, and proposed a user privacy quantification mode based on ubiquitous vector. ...

Reference:

Mobile Personalized Recommendation Model based on Privacy Concerns and Context Analysis for the Sustainable Development of M-commerce
Users' intention to disclose location on locationbased social network sites (LBSNS) in mobile environment: Privacy calculus and Big Five
  • Citing Article
  • January 2017

International Journal of Mobile Communications

... As such, it is logical for the trait of openness to be associated with a user's willingness to disclose personal information in a novel platform to new teammates which can be viewed as a new experience. With openness already having a significant relationship with disclosure in social media settings [24,85], in which social recommender systems are often situated, the results of this study extend this understanding by showing that openness is also a significant predictor in humans' disclosure habits toward a novel recommender system that exists outside but still supports a social context. ...

Users' intention to disclose location on location-based social network sites (LBSNS) in mobile environment: privacy calculus and Big Five
  • Citing Article
  • January 2017

International Journal of Mobile Communications