The theory of planned behaviour and user engagement applied to Facebook advertising

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dc.contributor.author Sanne, P.N.C. (Petra)
dc.contributor.author Wiese, Melanie
dc.date.accessioned 2018-09-04T06:47:06Z
dc.date.available 2018-09-04T06:47:06Z
dc.date.issued 2018-06-05
dc.description.abstract BACKGROUND : Facebook has become one of the most popular advertising platforms on social media. It is therefore important for social media marketers and researchers to have an understanding of the predictors of Facebook users’ engagement with Facebook advertising across all brands and Facebook advertising types. OBJECTIVES : This study aimed to determine whether the theory of planned behaviour could be applied to understand and predict engagement with Facebook advertising. METHOD : Non-probability convenience sampling resulted in a sample size of 656 Facebook users above the age of 18 who resided in South Africa. The data collected by means of an online survey were analysed using regression analyses. RESULTS : The findings indicated that attitude was the strongest predictor of behavioural intention to engage with Facebook advertising, followed by subjective norms. However, perceived behavioural control was found not to be a significant predictor of behavioural intention to engage with Facebook advertising. Furthermore, behavioural intention to engage with Facebook advertising was found to predict actual engagement. CONCLUSION : Social media marketers need to focus on influencing attitudes and subjective norms to increase engagement with their Facebook advertisements. Furthermore, the theory of reasoned action was found to be more appropriate to predict engagement with Facebook advertising, as it excludes perceived behavioural control. en_ZA
dc.description.department Marketing Management en_ZA
dc.description.librarian am2018 en_ZA
dc.description.uri http://www.sajim.co.za en_ZA
dc.identifier.citation Sanne, P.N.C. & Wiese, M., 2018, ‘The theory of planned behaviour and user engagement applied to Facebook advertising’, South African Journal of Information Management 20(1), a915. https://DOI.org/10.4102/sajim.v20i1.915. en_ZA
dc.identifier.issn 2078-1865 (print)
dc.identifier.issn 1560-683X (online)
dc.identifier.other 10.4102/sajim.v20i1.915
dc.identifier.uri http://hdl.handle.net/2263/66441
dc.language.iso en en_ZA
dc.publisher AOSIS Open Journals en_ZA
dc.rights © 2018. The Authors. Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. en_ZA
dc.subject Facebook en_ZA
dc.subject Social media en_ZA
dc.subject Advertising en_ZA
dc.subject Theory of planned behaviour en_ZA
dc.subject South Africa (SA) en_ZA
dc.title The theory of planned behaviour and user engagement applied to Facebook advertising en_ZA
dc.type Article en_ZA


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