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Forecasting the continuance intention of social networking sites: Assessing privacy risk and usefulness of technology

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  • Yin, Fa-Shing
  • Liu, Min-Ling
  • Lin, Chieh-Peng

Abstract

Social networking sites (SNS) have become to date one of the most important technological tools in the world. To explore the key factors affecting users' continuance intention of using SNS, this study applies the positive mood theory to explain why users continue to use SNS. The empirical results find that fear of missing out (FoMO) and enjoyment are both positively related to continuance intention, whereas negative affect is negatively related to continuance intention. Perceived usefulness positively moderates the relationship between enjoyment and continuance intention and that between negative affect and continuance intention. Perceived information privacy risk positively moderates the relationship between FoMO and continuance intention. This study contributes to the literature by applying the positive mood theory to explore the determinants of users' continuance intention of using SNS. We also provide managerial implications and research limitations.

Suggested Citation

  • Yin, Fa-Shing & Liu, Min-Ling & Lin, Chieh-Peng, 2015. "Forecasting the continuance intention of social networking sites: Assessing privacy risk and usefulness of technology," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 267-272.
    • Handle: RePEc:eee:tefoso:v:99:y:2015:i:c:p:267-272
    DOI: 10.1016/j.techfore.2015.07.019
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    Cited by:

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    5. Chandra, Shalini & Shirish, Anuragini & Srivastava, Shirish C., 2020. "Theorizing technological spatial intrusion for ICT enabled employee innovation: The mediating role of perceived usefulness," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Moustaka, Vaia & Theodosiou, Zenonas & Vakali, Athena & Kounoudes, Anastasis & Anthopoulos, Leonidas G., 2019. "Εnhancing social networking in smart cities: Privacy and security borderlines," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 285-300.
    7. Tandon, Anushree & Dhir, Amandeep & Talwar, Shalini & Kaur, Puneet & Mäntymäki, Matti, 2021. "Dark consequences of social media-induced fear of missing out (FoMO): Social media stalking, comparisons, and fatigue," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    8. Tandon, Anushree & Dhir, Amandeep & Talwar, Shalini & Kaur, Puneet & Mäntymäki, Matti, 2022. "Social media induced fear of missing out (FoMO) and phubbing: Behavioural, relational and psychological outcomes," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Ying, Shiyi & Huang, Youlin & Qian, Lixian & Song, Jinzhu, 2023. "Privacy paradox for location tracking in mobile social networking apps: The perspectives of behavioral reasoning and regulatory focus," Technological Forecasting and Social Change, Elsevier, vol. 190(C).

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