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Self-disclosure at social networking sites: An exploration through relational capitals

Author

Listed:
  • Rui Chen

    (Ball State University)

  • Sushil K. Sharma

    (Ball State University)

Abstract

In this research the authors examine member self-disclosure phenomenon at social networking sites. Self-disclosure enables member interactions, service customizations, and digital content generation and hence self-disclosure is imperative to the success of social networking sites. Drawing upon Social Capital Theory, we develop a succinct research model that examines the role of relational capitals in member disclosure behavior. This model also investigates the intricate relationships among relational capitals such as trust, reciprocity, and identification. This research model has been validated through survey data collected from 222 social networking site users and the analysis results provide strong support to the hypothesized relationships. The current study generates new knowledge on the exact role of relational capitals in sustaining social networking sites and it also informs the service providers of social networks to identify strategies that promote member disclosure.

Suggested Citation

  • Rui Chen & Sushil K. Sharma, 2013. "Self-disclosure at social networking sites: An exploration through relational capitals," Information Systems Frontiers, Springer, vol. 15(2), pages 269-278, April.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:2:d:10.1007_s10796-011-9335-8
    DOI: 10.1007/s10796-011-9335-8
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    References listed on IDEAS

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    1. 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.
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    5. Matteo Manca & Ludovico Boratto & Salvatore Carta, 2018. "Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system," Information Systems Frontiers, Springer, vol. 20(4), pages 825-839, August.
    6. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
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    11. Shuaa Aljasir & Ayman Bajnaid & Tariq Elyas & Mustafa Alnawasrah, 2017. "Users¡¯ Behaviour on Facebook: A Literature Review," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 8(7), pages 111-129, November.
    12. Liu, Yang & Chen, Yuan & Fan, Zhi-Ping, 2021. "Do social network crowds help fundraising campaigns? Effects of social influence on crowdfunding performance," Journal of Business Research, Elsevier, vol. 122(C), pages 97-108.
    13. Federico Iannacci & Colm Fearon & Kristine Pole, 2021. "From Acceptance to Adaptive Acceptance of Social Media Policy Change: a Set-Theoretic Analysis of B2B SMEs," Information Systems Frontiers, Springer, vol. 23(3), pages 663-680, June.
    14. Shuaa Aljasir & Ayman Bajnaid & Tariq Elyas & Mustafa Alnawasrah, 2017. "Facebook¡¯s Compatibility, Reasons for Disclosure, and Discussion of Social and Political Issues: The Case of University Students Using Facebook," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 8(5), pages 1-17, November.
    15. Nuryakin Nuryakin & Retno Widowati PA & Indah Fatmawati, 2018. "Network Advantage: Mediating Effect on Business Performance," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 65(4), pages 443-457, December.
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