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Proposing an Extension of the Technology Acceptance Model to Explain Facebook User Acceptance of Facebook Event Page

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  • Tran Thi Kim Phuong
  • Tran Trung Vinh

Abstract

The emergence and growth of social media today has changed the way that people communicate and interact with each other. Thus, social media has considered as an effective tool in the marketing campaign. In regard to event marketing, event planners and organizers use social media (e.g. social network sites) as an important marketing medium to increase the number of potential attendees to visit the events. However, the major challenge to event marketers is to fully understand the process of how social media marketing gain special event customers’ acceptance. This study chose Facebook event page as study context and applied the technology acceptance model (TAM) as theoretical foundation. In addition, this paper synthesizes the theoretical basis of the event marketing, emotional factors, perceived relevance and its application to social media (e.g., Facebook event page) from previous studies. The study aims to come out with a conceptual model (extended TAM) which explains fully inner-mechanism of the relationships among variables- (1) the emotions that online fansexpress on Facebook affect their acceptance of the Facebook event page as a legitimate marketing tool; (2) perceived relevance from user perspective influence their acceptance of the Facebook event page; (3) this “acceptance†mechanism has an impact on fans’ intentions to attend the event.

Suggested Citation

  • Tran Thi Kim Phuong & Tran Trung Vinh, 2017. "Proposing an Extension of the Technology Acceptance Model to Explain Facebook User Acceptance of Facebook Event Page," Asian Social Science, Canadian Center of Science and Education, vol. 13(6), pages 133-133, June.
  • Handle: RePEc:ibn:assjnl:v:13:y:2017:i:6:p:133
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    References listed on IDEAS

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    1. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
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    Cited by:

    1. Alexandra Perju-Mitran, 2018. "Responses to Communication Techniques used in Building Customer Relationships within Online Social Networks- A Qualitative Approach," Romanian Economic Business Review, Romanian-American University, vol. 13(1), pages 35-47, March.

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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