UTILIZATION OF INTERNET SOCIAL MEDIA SITES: STUDENTS’ PERSPECTIVE

Olivera Grljević, Zita Zita Bošnjak

Abstract


Intensive internet and social media sites usage has posed certain changes in modern business, particularly regarding relationship with customers. More successful companies have already embraced these possibilities and changes, and improved their overall business strategies. Higher Education Institutions as services providers can also benefit from internet social media sites, particularly in the field of enrollment strategy and attraction of prospective students. Analysis of user generated contents on social media sites can provide the institution with the better insights on its reputation, students’ opinion, preferences, and attitudes regarding the services they provide. It could also provide better groundwork for improvement of its relationship with students. Since different user personalities engaging in social media conversations comprise variety of groups and different usage profiles, the goal of this article is to evaluate the usage of social media sites among students and to identify different user profiles among prospective students for the Faculty of Economics Subotica, Serbia.

Keywords


Social media, internet, analytics, clustering

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References


Chuck, M. (2012). Social networking usage and grades among college students. Retrieved from, http://www.unh.edu/news/docs/UNHsocialmedia.pdf

Davis, C. H. F., Deil-Amen, R., Rios-Aguilar, C., & Canche, M. S. G. (2013). Social Media in Higher Education a literature review and research directions. Retrieved, February 19, 2013, from http://www.league.org/gettingconnected/files/Social%20Media%20in%20Higher%20Education.pdf

Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends - Information Retrieval, 2(1–2), 1–135. ISBN: 978-160-19815-0-9.

Grljevic, O., & Bosnjak, Z. (2012). Znacaj analize sadrzaja socijalnih medija [The importance of social media content analysis]. YuInfo 18th Conference and exhibition, 84-89. Kopaonik: Serbia. ISBN: 978-86-85525-09-4.

Grljevic, O., Seres, L., & Debeljacki, R. (2012). Perspectives of social media analytics application in higher education in Serbia. ISIT 2012 Fourth International Conference on Information Technologies and Information Society. Dolenjske Toplice: Slovenia. ISBN: 978-961-93391-1-4.

Junco, R. (2011). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computer & Education, 58(1), 162-171.

Junco, R., Heibergert, G., & Loken, E. (2010). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 27, 119-132.

Lithium (2012). Social Customer Community Software & Social Media Marketing Solutions. Retrieved September 14, 2012, from http://www.lithium.com/

Ologie (2012). Social media and higher education. Retrieved January 5, 2012, from http://www.slideshare.net/leighhouse/social-media-higher-ed

Pearson Social Media Survey (2010). Retrieved January 10, 2012, from http://www.slideshare.net/PearsonLearningSolutions/pearson-socialmediasurvey2010,

Poljak, I. (2012). Psihologija Twittera [The Psychology of Twitter]. Retrieved from http://www.psihoverzum.com/psihologija-twittera/

Weka (2013). Data mining software in Java. Retrieved February 9, 2013, from http://www.cs.waikato.ac.nz/ml/weka/




DOI: http://dx.doi.org/10.12955/cbup.v2.484

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