IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v15y2013i2d10.1007_s10796-011-9335-8.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-011-9335-8
    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/s10796-011-9335-8?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. 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.
    2. 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.
    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. Syed Sardar Muhammad & Bidit Lal Dey & Vishanth Weerakkody, 2018. "Analysis of Factors that Influence Customers’ Willingness to Leave Big Data Digital Footprints on Social Media: A Systematic Review of Literature," Information Systems Frontiers, Springer, vol. 20(3), pages 559-576, June.
    2. Matteo Manca & Ludovico Boratto & Salvatore Carta, 0. "Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    3. Nabity-Grover, Teagen & Cheung, Christy M.K. & Bennett Thatcher, Jason, 2023. "How COVID-19 stole Christmas: How the pandemic shifted the calculus around social media Self-Disclosures," Journal of Business Research, Elsevier, vol. 154(C).
    4. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 2018. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 20(1), pages 91-110, February.
    5. Kim, Eunjin & Yoon, Sungjun, 2021. "Social capital, user motivation, and collaborative consumption of online platform services," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    6. Tao Zhou & Yaobin Lu & Bin Wang, 2016. "Examining online consumers’ initial trust building from an elaboration likelihood model perspective," Information Systems Frontiers, Springer, vol. 18(2), pages 265-275, April.
    7. Michelle Richey & Aparna Gonibeed & M. N. Ravishankar, 2018. "The Perils and Promises of Self-Disclosure on Social Media," Information Systems Frontiers, Springer, vol. 20(3), pages 425-437, June.
    8. 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.
    9. 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.
    10. 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.
    11. Jongchang Ahn & Kyungran Ma & Ook Lee & Suaini Sura, 0. "Do big data support TV viewing rate forecasting? A case study of a Korean TV drama," Information Systems Frontiers, Springer, vol. 0, pages 1-10.
    12. 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.
    13. 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.
    14. 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.
    15. Jongchang Ahn & Kyungran Ma & Ook Lee & Suaini Sura, 2017. "Do big data support TV viewing rate forecasting? A case study of a Korean TV drama," Information Systems Frontiers, Springer, vol. 19(2), pages 411-420, April.
    16. Sergio Madero & Lucía Rodríguez-Aceves & Gabriel Valerio-Ureña, 2018. "Perceptions about the usefulness of online social networks in the workplace," Estudios Gerenciales, Universidad Icesi, vol. 34(147), pages 149-157, May.
    17. 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.
    18. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    19. Lizhong Liu & Tianyi Zhang & Lei Han, 2023. "Positive Self-Disclosure on Social Network Sites and Adolescents’ Friendship Quality: The Mediating Role of Positive Feedback and the Moderating Role of Social Anxiety," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    20. Yasheng Chen & Yuhong Tu & Siyao Zeng, 2024. "Costly “Greetings” from AI: Effects of Product Recommenders and Self-Disclosure Levels on Transaction Costs," Sustainability, MDPI, vol. 16(18), pages 1-19, September.

    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. 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.
    2. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    3. 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.
    4. Park, Gain & Park, YounJung & Lee, Seyoung, 2024. "Compliance-gaining in metaverse: A moderated parallel mediation model testing the interaction between legitimization of paltry favors technique and victim identification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    5. Yohanes E Riyanto & Jianlin Zhang, 2020. "Diminishing personal information privacy weakens image concerns," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-16, April.
    6. Noor Hasmini Binti Abd Ghani & Mohammad Kashedul Wahab Tuhin, 2016. "Consumer Brand Relationships," International Review of Management and Marketing, Econjournals, vol. 6(4), pages 950-957.
    7. Zeng, Fue & Ye, Qing & Li, Jing & Yang, Zhilin, 2021. "Does self-disclosure matter? A dynamic two-stage perspective for the personalization-privacy paradox," Journal of Business Research, Elsevier, vol. 124(C), pages 667-675.
    8. 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.
    9. David Bosch, 2013. "The Impact of Transformational Leadership on Leader-Follower Work Value Congruence," International Journal of Business and Social Research, LAR Center Press, vol. 3(8), pages 18-31, August.
    10. René van Bavel & Nuria Rodríguez-Priego, 2016. "Nudging Online Security Behaviour with Warning Messages: Results from an Online Experiment," JRC Research Reports JRC103223, Joint Research Centre.
    11. Idris Adjerid & Alessandro Acquisti & George Loewenstein, 2019. "Choice Architecture, Framing, and Cascaded Privacy Choices," Management Science, INFORMS, vol. 67(5), pages 2267-2290, May.
    12. Scott Schanke & Gordon Burtch & Gautam Ray, 2021. "Estimating the Impact of “Humanizing” Customer Service Chatbots," Information Systems Research, INFORMS, vol. 32(3), pages 736-751, September.
    13. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    14. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    15. 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.
    16. Ulrich Gnewuch & Stefan Morana & Marc T. P. Adam & Alexander Maedche, 2022. "Opposing Effects of Response Time in Human–Chatbot Interaction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 773-791, December.
    17. Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    18. Choi, Yung Kyun & Yoon, Sukki & Lacey, Heather P., 2013. "Online game characters' influence on brand trust: Self-disclosure, group membership, and product type," Journal of Business Research, Elsevier, vol. 66(8), pages 996-1003.
    19. Barney, Christian & Hancock, Tyler & Esmark Jones, Carol L. & Kazandjian, Brett & Collier, Joel E., 2022. "Ideally human-ish: How anthropomorphized do you have to be in shopper-facing retail technology?," Journal of Retailing, Elsevier, vol. 98(4), pages 685-705.
    20. Park, Jungkun & Yun, Jeewoo & Chang, Woondeog, 2024. "Intention to adopt services by AI avatar: A protection motivation theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 80(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:spr:infosf:v:15:y:2013:i:2:d:10.1007_s10796-011-9335-8. 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.