2017
DOI: 10.1080/0267257x.2017.1328458
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Radicalising the marketing of higher education: learning from student-generated social media data

Abstract: The social media landscape creates opportunities for higher education institutions (HEIs) to amplify psychological engagement with students and to increase influence impressions by following student(s)-to-student(s) conversations and stories. Evidence of understanding how HEIs can utilise student-generated social media data for HE marketing and branding purposes is underexplored. This paper adopts a netnographic research method to illustrate how social media artefacts, such as the 'This Is Where I Study' (TIWI… Show more

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Cited by 39 publications
(19 citation statements)
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“…Finally, this research has implications regarding effective pedagogical processes, reaching students to maximize each component of perceived learning at different selling stages of the student experience. Indeed, this effort aligns with the current shift from studying consumeristic students in higher education generally to more specifically researching their impact on pedagogy (Bolat & O'Sullivan, 2017). Thus, helping educators utilize techniques to "sell" to students who come to class with a consumeristic attitude.…”
Section: Theoretical Contributionsmentioning
confidence: 90%
“…Finally, this research has implications regarding effective pedagogical processes, reaching students to maximize each component of perceived learning at different selling stages of the student experience. Indeed, this effort aligns with the current shift from studying consumeristic students in higher education generally to more specifically researching their impact on pedagogy (Bolat & O'Sullivan, 2017). Thus, helping educators utilize techniques to "sell" to students who come to class with a consumeristic attitude.…”
Section: Theoretical Contributionsmentioning
confidence: 90%
“…For each occurrence, data was collected on the content type, content message, detailed accounts of the comments along with the number of comments and likes received for each post. A total of 135 posts, accessible and available in the public domain, were collected and analysed using Bolat and O’Sullivan’s (2017) three analytical steps: (1) descriptive analysis that entailed recording types of content and number of posts; (2) sentiment analysis – word frequency analysis and semantic analysis of the emotions portrayed and expressed within the posts and comments; (3) network analysis – the basic capture and detailed analysis of SMFs engagement with the SMLs’ content via capturing number of likes, views and comments. As no consent has been obtained to present direct quotes from the SMFs comments, we are purely presenting integrated and conceptual results of the netnographic analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Product or service promotion that displays an output of a search engine result is called as search advertising. In recent times, the "search engine" is treated as the principal instrument to optimize the number of web visitors (Bolat and O'Sullivan, 2017). To do so, organizations use search engine optimization (SEO) strategies to rank their names on top of the searched pages.…”
Section: Gkmcmentioning
confidence: 99%