IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v99y2015icp267-272.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162515002280
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2015.07.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Venkatesh, Viswanath & Speier, Cheri, 1999. "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 1-28, July.
    2. Zhenhui Jiang & Izak Benbasat, 2007. "Research Note---Investigating the Influence of the Functional Mechanisms of Online Product Presentations," Information Systems Research, INFORMS, vol. 18(4), pages 454-470, December.
    3. Robert Emmons & Ed Diener, 1985. "Factors predicting satisfaction judgments: A comparative examination," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 16(2), pages 157-167, February.
    4. Brief, Arthur P., 2001. "Organizational Behavior and the Study of Affect: Keep Your Eyes on the Organization," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(1), pages 131-139, September.
    5. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    6. Moon, Youngme, 2000. "Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 323-339, March.
    7. Forgas, Joseph P. & George, Jennifer M., 2001. "Affective Influences on Judgments and Behavior in Organizations: An Information Processing Perspective," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(1), pages 3-34, September.
    8. Mano, Haim & Oliver, Richard L, 1993. "Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling, and Satisfaction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 451-466, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Bayerl, Petra Saskia & Jacobs, Gabriele, 2022. "Who is responsible for customers’ privacy? Effects of first versus third party handling of privacy contracts on continuance intentions," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. Leon, Ramona – Diana & Rodríguez-Rodríguez, Raúl & Gómez-Gasquet, Pedro & Mula, Josefa, 2017. "Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 103-118.
    4. Cheng, Zhendong & Fan, Wenfang & Shao, Bingjia & Jia, Wenli & Zhang, Yong, 2024. "The impact of intelligent customer service agents’ initial response on consumers’ continuous interaction intention," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    5. Shareef, Mahmud A. & Dwivedi, Yogesh K. & Wright, Angela & Kumar, Vinod & Sharma, Sujeet K. & Rana, Nripendra P, 2021. "Lockdown and sustainability: An effective model of information and communication technology," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    6. Kumar, Aman & Shankar, Amit & Behl, Abhishek & Arya, Varsha & Gupta, Nakul, 2023. "Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    7. 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).
    8. 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.
    9. 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).
    10. 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).
    11. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    2. Idris Adjerid & Alessandro Acquisti & George Loewenstein, 2019. "Choice Architecture, Framing, and Cascaded Privacy Choices," Management Science, INFORMS, vol. 67(5), pages 2267-2290, May.
    3. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    4. Felipe Thomaz & Carolina Salge & Elena Karahanna & John Hulland, 2020. "Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 43-63, January.
    5. Sefora Hailu Yoseph & Gao Chongyan, 2024. "Antecedents of Consumers’ Privacy Protection Behavior and Intention to Disclose Personal Information: Mediating Role of Personal Information Transparency," International Journal of Science and Business, IJSAB International, vol. 37(1), pages 96-118.
    6. Maroufkhani, Parisa & Asadi, Shahla & Ghobakhloo, Morteza & Jannesari, Milad T. & Ismail, Wan Khairuzaman Wan, 2022. "How do interactive voice assistants build brands' loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Liang, Sai & Li, Hui & Liu, Xianwei & Schuckert, Markus, 2019. "Motivators behind information disclosure: Evidence from Airbnb hosts," Annals of Tourism Research, Elsevier, vol. 76(C), pages 305-319.
    8. Söderlund, Magnus, 2017. "Employee display of burnout in the service encounter and its impact on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 168-176.
    9. Jakob Wirth & Christian Maier & Sven Laumer & Tim Weitzel, 2019. "Perceived information sensitivity and interdependent privacy protection: a quantitative study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 359-378, September.
    10. Sally Maitlis & Hakan Ozcelik, 2004. "Toxic Decision Processes: A Study of Emotion and Organizational Decision Making," Organization Science, INFORMS, vol. 15(4), pages 375-393, August.
    11. Mary Curtis, 2006. "Are Audit-related Ethical Decisions Dependent upon Mood?," Journal of Business Ethics, Springer, vol. 68(2), pages 191-209, October.
    12. Bakanauskas Arvydas Petras & Kondrotienė Edita & Jezukevičienė Edita, 2022. "Consumers Believe in Health Behavior but do not Perform it: Understanding Attitude Formation Factors’ Influence on Consumer Health Behavior," Management of Organizations: Systematic Research, Sciendo, vol. 87(1), pages 43-66, June.
    13. Joseph A. Cazier & Benjamin B. M. Shao & Robert D. St. Louis, 2007. "Sharing information and building trust through value congruence," Information Systems Frontiers, Springer, vol. 9(5), pages 515-529, November.
    14. Potoglou, Dimitris & Palacios, Juan & Feijoo, Claudio & Gómez Barroso, Jose-Luis, 2015. "The supply of personal information: A study on the determinants of information provision in e-commerce scenarios," 26th European Regional ITS Conference, Madrid 2015 127174, International Telecommunications Society (ITS).
    15. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    16. Goethner, Maximilian & Hornuf, Lars & Regner, Tobias, 2021. "Protecting investors in equity crowdfunding: An empirical analysis of the small investor protection act," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    17. Corey Angst, 2009. "Protect My Privacy or Support the Common-Good? Ethical Questions About Electronic Health Information Exchanges," Journal of Business Ethics, Springer, vol. 90(2), pages 169-178, November.
    18. Grichnik, Dietmar & Smeja, Alexander & Welpe, Isabell, 2010. "The importance of being emotional: How do emotions affect entrepreneurial opportunity evaluation and exploitation?," Journal of Economic Behavior & Organization, Elsevier, vol. 76(1), pages 15-29, October.
    19. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    20. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:99:y:2015:i:c:p:267-272. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.