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Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges

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  • Sanjeev Verma

Abstract

Social networking sites have transformed interaction and collaboration pattern. Communication and engagement on social networking sites is a social phenomenon that depends on mutual interest and enthusiasm of users. Recognizing the importance of social fabrics of social networking sites, this study aims to identify possibilities of using social networking sites for intentional social action. Using unified theory of acceptance and use of technology, empirical study is conducted on youth to identify determinants and challenges of using social networking sites for intentional social actions. Factor-level study using structural equation modelling showed that effort expectancy, social influence and facilitating condition have significant impact on intentional social action. Implications and scope for future studies are provided for further extension of this study.

Suggested Citation

  • Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    • Handle: RePEc:sae:vision:v:19:y:2015:i:2:p:104-111
    DOI: 10.1177/0972262915575447
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    References listed on IDEAS

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    1. Sanjeev Verma, 2013. "Effectiveness of social network sites for influencing consumer purchase decisions," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 6(5), pages 624-634.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
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