IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v22y2020i6d10.1007_s10796-019-09933-x.html
   My bibliography  Save this article

Investigating the Impact of Personality Traits of Social Network Sites Users on Information Disclosure in China: the Moderating Role of Gender

Author

Listed:
  • Samar Mouakket

    (University of Sharjah)

  • Yuan Sun

    (Zhejiang Gongshang University
    Zhejiang Gongshang University)

Abstract

Social network sites (SNS) are a very popular method of online communication among university students, where users are willing to share personal and private information with other users. The purpose of this research is to investigate the possible relationships between personality traits, perceived usefulness, perceived enjoyment and information self-disclosure within SNS context. In addition, we extend our framework by investigating the moderating effect of gender on all the proposed relationships in the model. A questionnaire is developed and the convenient sampling technique is used to collect data from university students in China. Structural equation modeling approach is applied to examine the influence of personality traits on perceived usefulness and perceived enjoyment of SNS, which subsequently will positively influence users’ self-disclosure of information on SNS. Our results reveal that some personality traits consider SNS to be useful, while other personality traits consider SNS to be enjoyable. In addition, perceived enjoyment and perceived usefulness have positive influence on users’ disclosure of information on SNS. Furthermore, our findings suggest that gender differences has produced different influences between the different relations in the model.

Suggested Citation

  • Samar Mouakket & Yuan Sun, 2020. "Investigating the Impact of Personality Traits of Social Network Sites Users on Information Disclosure in China: the Moderating Role of Gender," Information Systems Frontiers, Springer, vol. 22(6), pages 1305-1321, December.
  • Handle: RePEc:spr:infosf:v:22:y:2020:i:6:d:10.1007_s10796-019-09933-x
    DOI: 10.1007/s10796-019-09933-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-019-09933-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-019-09933-x?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. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    2. Mike Thelwall, 2008. "Social networks, gender, and friending: An analysis of MySpace member profiles," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1321-1330, June.
    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. Stefan Stieglitz & Milad Mirbabaie & Nicholas R. J. Möllmann & Jannik Rzyski, 2022. "Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution," Information Systems Frontiers, Springer, vol. 24(3), pages 745-770, 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. Bangwool Han & Minho Kim, 2019. "Hofstede’s Collectivistic Values and Sustainable Growth of Online Group Buying," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    2. Constant Berkhout & Abhi Bhattacharya & Carlos Bauer & Ross W. Johnson, 2024. "Revisiting the construct of data-driven decision making: antecedents, scope, and boundaries," SN Business & Economics, Springer, vol. 4(10), pages 1-23, October.
    3. Arghya Ray & Muskan Jain & Lan Ma & Khalid Hussain Alhamzi & Ananya Ray & Long She, 2024. "The impact of personality traits, barriers and gamification on Gen X continuance intention for mobile credit bill payment apps," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1154-1174, September.
    4. Mumtaz Reina Mendonca, 2016. "Relating Big Five Factor Model to the Acceptance and Use of On-line Shopping," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(3), pages 89-98, June.
    5. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.
    6. Panagiotis Adamopoulos & Anindya Ghose & Vilma Todri, 2018. "The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 612-640, September.
    7. He, Pan & Veronesi, Marcella, 2017. "Personality traits and renewable energy technology adoption: A policy case study from China," Energy Policy, Elsevier, vol. 107(C), pages 472-479.
    8. Yang Liao & Hanying Guo & Hongguo Shi, 2024. "Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    9. Meng, Keira Shuyang & Leung, Louis, 2021. "Factors influencing TikTok engagement behaviors in China: An examination of gratifications sought, narcissism, and the Big Five personality traits," Telecommunications Policy, Elsevier, vol. 45(7).
    10. Jack Adams & Ozgur Dedehayir & Peter O’Connor & Tomi Nokelainen, 2019. "Who Are The Adopters Of Retro-Technology?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(08), pages 1-18, December.
    11. Jacopo Arpetti & Marco Delmastro, 2021. "The privacy paradox: a challenge to decision theory?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(4), pages 505-525, December.
    12. Wilburn Lane, 2012. "The Influence of Personality Traits on Mobile Phone Application Preferences," Journal of Economics and Behavioral Studies, AMH International, vol. 4(5), pages 252-260.
    13. Lu Kong & Hessam Sadatsafavi & Rohit Verma, 2019. "Usage and Impact of Information and Communication Technologies in Healthcare Delivery," Service Science, INFORMS, vol. 11(3), pages 172-188, October.
    14. Ricardo Buettner, 2017. "Predicting user behavior in electronic markets based on personality-mining in large online social networks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 247-265, August.
    15. Sabina Lissitsa & Ofrit Kol, 2021. "Four generational cohorts and hedonic m-shopping: association between personality traits and purchase intention," Electronic Commerce Research, Springer, vol. 21(2), pages 545-570, June.
    16. Stefan Stieglitz & Milad Mirbabaie & Nicholas R. J. Möllmann & Jannik Rzyski, 2022. "Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution," Information Systems Frontiers, Springer, vol. 24(3), pages 745-770, June.
    17. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    18. Samar Mouakket & Yuan Sun, 0. "Investigating the Impact of Personality Traits of Social Network Sites Users on Information Disclosure in China: the Moderating Role of Gender," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    19. Alexander Joseph Ibnu Wibowo, 2023. "How Do Personality Traits Influence the Behavioral Intentions of Gen-Z Tourists?," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 35(2), pages 145-163.
    20. Judd Antin & Matthew Earp, 2010. "With a little help from my friends: Self‐interested and prosocial behavior on MySpace Music," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 952-963, May.

    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:spr:infosf:v:22:y:2020:i:6:d:10.1007_s10796-019-09933-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.