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The effects of information sharing and interactivity on the intention to use social networking websites

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  • Fan-Yun Pai
  • Tsu-Ming Yeh

Abstract

Social networking sites (SNSs), which satisfy the primary demands of making friends, learning, and shopping, and are inseparable from human life, have been booming in recent years that domestic or international websites have endeavored to have users access to their websites. This study proposed relational model to examine the intention to use SNSs, and also applied a questionnaire survey to examine differences in this intention among various user groups. The findings indicated that that, in order to promote the intention to use social networking sites, managers should work to enhance interactivity and information sharing, and should also consider the feelings and attitudes of users. Different user groups lead to different outcomes with regard to the intention to use model developed in this work. However, the intention to use of most users in the sample groups was enhanced by the SNSs characteristics of information sharing and perceived playfulness. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Fan-Yun Pai & Tsu-Ming Yeh, 2014. "The effects of information sharing and interactivity on the intention to use social networking websites," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2191-2207, July.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:4:p:2191-2207
    DOI: 10.1007/s11135-013-9886-5
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Seong Cho & Han Park, 2013. "A qualitative analysis of cross-cultural new media research: SNS use in Asia and the West," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2319-2330, June.
    3. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    4. Ya-Yueh Shih & Chi-Yuan Chen, 2013. "The study of behavioral intention for mobile commerce: via integrated model of TAM and TTF," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1009-1020, February.
    5. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    6. Shaila M. Miranda & Carol S. Saunders, 2003. "The Social Construction of Meaning: An Alternative Perspective on Information Sharing," Information Systems Research, INFORMS, vol. 14(1), pages 87-106, March.
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    Cited by:

    1. Deli Yuan & Muhammad Khalilur Rahman & Md. Abu Issa Gazi & Md. Atikur Rahaman & Mohammad Mainul Hossain & Shaharin Akter, 2021. "Analyzing of User Attitudes Toward Intention to Use Social Media for Learning," SAGE Open, , vol. 11(4), pages 21582440211, November.
    2. Yossiri Yossatorn & Theerapong Binali & Cathy Weng & Regina Juchun Chu, 2023. "Investigating the Relationships Among LINE Users’ Concerns, Motivations for Information Sharing Intention and Information Sharing Behavior," SAGE Open, , vol. 13(3), pages 21582440231, August.
    3. Karina RADCHENKO, 2023. "The economic and social impacts of smart cities multi stakeholder pre study results," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 7(2), pages 25-38, June.

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