IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i4p1166-d208249.html
   My bibliography  Save this article

Can “Liking” Behavior Lead to Usage Intention on Facebook? Uses and Gratification Theory Perspective

Author

Listed:
  • Md. Alamgir Hossain

    (Department of International Trade, College of Commerce, Chonbuk National University, Baekje-daero 567, Korea)

  • Minho Kim

    (Department of International Trade, College of Commerce, Chonbuk National University, Baekje-daero 567, Korea)

  • Nusrat Jahan

    (Department of Business Administration, College of Commerce, Chonbuk National University, Baekje-daero 567, Korea)

Abstract

The “like” feature on Facebook has emerged as a commonly used paralinguistic tool for communicating, and its importance as an indication of positive feelings toward the posts of others is likely to increase. Comprehensive research is needed into why and how users are motivated toward ‘liking’ behavior, and whether this behavior generates an intention to continue using Facebook over time. This study combines the theory of uses and gratification and a subjective norm perspective to create an integrated model that predicts liking behavior and usage intentions on Facebook. The research model is tested with data collected from online users of Facebook and the proposed model is supported by a measurement and structural model analysis based on empirical data collected from 267 Facebook users. The findings indicate that the most salient motivations for users to liking behavior are enjoyment, information seeking, social interaction, and subjective norms, and that they subsequently reinforce their continuous intention toward the Facebook. The results also revealed that subjective norms contribute strongly to the projections of liking behavior and continuous usage intention. The proposed research model contributes to global marketing research and information-technology service management by integrating personal and social motivators to understand the acceptance of social networking technologies by users in Asia. In particular, the outcomes stand to enhance the current state of knowledge of social networking site developers, managers, and organizations to improve acceptance of their services or products, development of customer support, advertising, and/or product development. The present results lay the foundation for uses and gratification theory and subjective norms model that have important theoretical and practical implications and may guide future research efforts in this context.

Suggested Citation

  • Md. Alamgir Hossain & Minho Kim & Nusrat Jahan, 2019. "Can “Liking” Behavior Lead to Usage Intention on Facebook? Uses and Gratification Theory Perspective," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1166-:d:208249
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/4/1166/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/4/1166/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ivy L.B. Liu & Christy M.K. Cheung & Matthew K.O. Lee, 2016. "User satisfaction with microblogging: Information dissemination versus social networking," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 56-70, January.
    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. Inho Hwang & Hoshik Shim & Woo Jin Lee, 2022. "Do an Organization’s Digital Transformation and Employees’ Digital Competence Catalyze the Use of Telepresence?," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    2. Sangjae Lee & Byung Gon Kim, 2020. "The Impact of Individual Motivations and Social Capital on the Continuous Usage Intention of Mobile Social Apps," Sustainability, MDPI, vol. 12(20), pages 1-30, October.
    3. Eduard Cristobal-Fransi & Francisco Hernández-Soriano & Berta Ferrer-Rosell & Natalia Daries, 2019. "Exploring Service Quality among Online Sharing Economy Platforms from an Online Media Perspective," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    4. Byoungsoo Kim & Daekil Kim, 2020. "Understanding the Key Antecedents of Users’ Disclosing Behaviors on Social Networking Sites: The Privacy Paradox," Sustainability, MDPI, vol. 12(12), pages 1-16, June.

    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. Xiao-Yu Xu & Wen-Bo Niu & Qing-Dan Jia & Lebogang Nthoiwa & Li-Wei Li, 2021. "Why Do Viewers Engage in Video Game Streaming? The Perspective of Cognitive Emotion Theory and the Moderation Effect of Personal Characteristics," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    2. Xi Chen & Chunlan Jiao & Ran Ji & Yu Li, 2021. "Examining Customer Motivation and Its Impact on Customer Engagement Behavior in Social Media: The Mediating Effect of Brand Experience," SAGE Open, , vol. 11(4), pages 21582440211, October.
    3. Ljiljana Kašćelan & Mirjana Pejić Bach & Biljana Rondović & Tamara Đuričković, 2020. "The interaction between social media, knowledge management and service quality: A decision tree analysis," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-30, August.
    4. Liu, Libo & Cheung, Christy M.K. & Lee, Matthew K.O., 2016. "An empirical investigation of information sharing behavior on social commerce sites," International Journal of Information Management, Elsevier, vol. 36(5), pages 686-699.
    5. Ives Chacourre Wangninanon Gogan & Ziqiong Zhang & Elizabeth Damian Matemba, 2018. "Impacts of Gratifications on Consumers’ Emotions and Continuance Use Intention: An Empirical Study of Weibo in China," Sustainability, MDPI, vol. 10(9), pages 1-20, September.
    6. Sutanto, Juliana & Liu, Yi & Grigore, Mihai & Lemmik, Rivo, 2018. "Does knowledge retrieval improves work efficiency? An investigation under multiple systems use," International Journal of Information Management, Elsevier, vol. 40(C), pages 42-53.
    7. Yanyan Wang & Yann-Jou Lin & Bau-Show Lin, 2020. "The Factors that Affect Usage Intentions and Travel Intentions of Travel-Related WeChat Official Accounts," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    8. Luo, Margaret Meiling & Chea, Sopeha, 2018. "Cognitive appraisal of incident handling, affects, and post-adoption behaviors: A test of affective events theory," International Journal of Information Management, Elsevier, vol. 40(C), pages 120-131.
    9. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(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:gam:jsusta:v:11:y:2019:i:4:p:1166-:d:208249. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.