IDEAS home Printed from https://ideas.repec.org/p/nsu/apasro/348.html
   My bibliography  Save this paper

Examining the Technology Acceptance Model in the Adoption of Social Ne tworks

Author

Listed:
  • Pinho, José Carlos
  • Soares, Ana Maria

Abstract

Social networks allow users to build their own webpage and share information with other internet users. In the last years, multi-purpose social networks have appeared and been eagerly adopted by consumers and companies for multiple social, communication and marketing purposes. We focus on the determinants of adoption behavior of social networks. Notably, we examine the Technology Acceptance Model (TAM), a model specifically developed to explain adoption of information technologies, and test whether it can be used to explain consumers' use of Social Networks. Our results support the model and confirm that Perceived Usefulness and Perceived Ease of Use impact the attitude towards using Social Networks, leading to Intention to Use these tools.

Suggested Citation

  • Pinho, José Carlos & Soares, Ana Maria, 2011. "Examining the Technology Acceptance Model in the Adoption of Social Ne tworks," Apas Papers 348, Academic Public Administration Studies Archive - APAS.
    • Handle: RePEc:nsu:apasro:348
    as

    Download full text from publisher

    File URL: http://www.apas.admpubl.snspa.ro/handle/2010/347
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    2. Mital, Monika & Chang, Victor & Choudhary, Praveen & Papa, Armando & Pani, Ashis K., 2018. "Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 339-346.
    3. repec:ipg:wpaper:2014-573 is not listed on IDEAS
    4. Amoah John & Nutakor Felix & Li Jinke & Jibril Abdul Bashiru & Sanful Benjamin & Odei Michael Amponsah, 2021. "Antecedents of social media usage intensity in the financial sector of an emerging economy: a Pls-Sem Algorithm," Management & Marketing, Sciendo, vol. 16(4), pages 387-406, December.
    5. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    6. Nabila JAWADI & Laetitia BONIS, 2014. "Understanding the Determinants of the Usage of Corporate Social Networks: An Integrative Perspective," Working Papers 2014-136, Department of Research, Ipag Business School.
    7. Xiaolong Wang & Wenkun Zhang & Tao Zhang & Yanan Wang & Sanggyun Na, 2022. "A Study of Chinese Consumers’ Consistent Use of Mobile Food Ordering Apps," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    8. Ifinedo, Princely, 2016. "Applying uses and gratifications theory and social influence processes to understand students' pervasive adoption of social networking sites: Perspectives from the Americas," International Journal of Information Management, Elsevier, vol. 36(2), pages 192-206.
    9. Małecka, Agnieszka & Mitręga, Maciej & Mróz-Gorgoń, Barbara & Pfajfar, Gregor, 2022. "Adoption of collaborative consumption as sustainable social innovation: Sociability and novelty seeking perspective," Journal of Business Research, Elsevier, vol. 144(C), pages 163-179.
    10. Raza, Syed Ali & Qazi, Wasim & Shah, Nida & Qureshi, Muhammad Asif & Qaiser, Shahzad & Ali, Ramsha, 2020. "Drivers of intensive Facebook usage among university students: An implications of U&G and TPB theories," Technology in Society, Elsevier, vol. 62(C).

    More about this item

    Keywords

    Social Networks; Technology Acceptance Model (TAM); beliefs; attitudes and behavioural intention;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:nsu:apasro:348. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ani Matei (email available below). General contact details of provider: https://edirc.repec.org/data/fasnsro.html .

    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.