eprintid: 285 rev_number: 9 eprint_status: archive userid: 30 dir: disk0/00/00/02/85 datestamp: 2020-01-16 11:17:37 lastmod: 2020-01-16 11:17:37 status_changed: 2020-01-16 11:17:37 type: thesis metadata_visibility: show creators_name: Gomez, Barnett corp_creators: Supervisor: Paddy O’Brien title: The Effects of Social Media on Users Attitude Toward Online Shopping ispublished: submitted subjects: HB divisions: MAJ_PR full_text_status: public keywords: Internet studies, Social media habits, Online shopping abstract: Internet studies has gained popularity amongst academics and researchers in the field of Media Communication over the years, due to its’ ever growing influence and contributions towards the global economy. The evolution of the Internet, too, has played a significant role in revolutionising the traditional forms of communications and media broadcasting, which in fact, has led to change in other fields, particularly advertising. We have bserved the change that advertising has undertaken and how it has become a complex process of analysing data in order to reach a targeted group of audiences. Particularly on social media platforms, which evidently has become part of the majority of societies daily life. Social media has a growing daily sign up rate. The evolution of the Internet and the World Wide Web, has created a new era of conducting shopping online also known as E-Transactions (online shopping). It has changed over time and is continuously gaining popularity among society today. Henceforth, the proposed study, to identify if a relationship between the time spent on social media in relation to users’ online shopping attitudes exists, as the primary objective. The secondary objective, was to test the effectiveness of online advertising (targeted advertising), by identifying the time users spent on social media platforms, in relation to the frequency of them clicking or purchasing from online advertisements. A survey of 10 questions distributed to 261 participants was conducted and the results identified that 80.1% of participants shopped online, regardless of the time they spent on social media. We then tested this results against the data obtained on the effectiveness of online advertising in redirecting users to online websites and we found that, the time spent on social media platforms had no influence towards the frequency of users clicking on online advertisements or purchasing from them. We suggested that, though advertising may not play a direct influence, it does tell users what to think about. Based on the data analysed, we could conclude that online shopping does not happen at random in most instances, it has become an activity by itself within society. Considering online shopping as norm would be no mistake as based on the study conducted and the data we receive we could not find any possible influence of the variables tested against shopping online. date: 2019 date_type: completed pages: 91 institution: Griffith College department: Faculty of Journalism and Media Communications thesis_type: masters referencetext: .................................................................................................................... 86 2019 World Population by Country (no date). Available at: http://worldpopulationreview.com/ (Accessed: 19 July 2019). A Chronological History of Social Media (2018). Available at: https://interestingengineering.com/a-chronological-history-of-social-media (Accessed: 2 July 2019). Abercrombie, N. (1996) Television and Society. Wiley. Andrews, E. (no date) Who invented the internet?, HISTORY. Available at: https://www.history.com/news/who-invented-the-internet (Accessed: 25 June 2019). Balasudarsun, N. L. et al. (2018) ‘Impact of Social Context on Online Shopping Behavior in Selected Asian Countries: India, Malaysia, Singapore, Uzbekistan, and Thailand', Journal of Management Research (09725814), 18(3), pp. 188-200. Bartlett, J. E., Kotrlik, J. W. and Higgins, C. C. (no date) ‘Organizational Research: Determining Appropriate Sample Size in Survey Research', p. 8. Berger, A. A. (1998) Media Research Techniques. SAGE Publications. Berger, A. A. (2007) Media and Society: A Critical Perspective. Rowman & Littlefield. Borah, P. (2016) ‘Media Effects Theory', in Mazzoleni, G. (ed.) The International Encyclopedia of Political Communication. Hoboken, NJ, USA: John Wiley & Sons, Inc., pp. 1-12. doi: 10.1002/9781118541555.wbiepc156. Bozdag, E. (2013) ‘Bias in algorithmic filtering and personalization', Ethics and Information Technology, 15(3), pp. 209-227. doi: 10.1007/s10676-013-9321-6. Bryant, J. and Thompson, S. (2002) Fundamentals of media effects. McGraw-Hill. Carr, L. T. (1994) The strengths and weaknesses of quantitative and qualitative research: what method for nursing?, Journal of Advanced Nursing. doi: 10.1046/j.1365-2648.1994.20040716.x. Connolly, P. (2007) Quantitative Data Analysis in Education: A Critical Introduction Using SPSS. Taylor & Francis. Creswell, J. W. (2013) Research design: qualitative, quantitative, and mixed methods approaches. Denzin, N. K. and Lincoln, Y. S. (1998) The Landscape of Qualitative Research: Theories and Issues. SAGE Publications. Facebook global revenue (no date) Statista. Available at: https://www.statista.com/statistics/422035/facebooks-quarterly-global-revenue/ (Accessed: 18 July 2019). Global Ecommerce 2019 (no date) eMarketer. Available at: https://www.emarketer.com/content/global-ecommerce-2019 (Accessed: 3 July 2019). Goggin, G. (2014) ‘Facebook's mobile career', New Media & Society, 16(7), pp. 1068- 1086. doi: 10.1177/1461444814543996. Guha, S., Cheng, B. and Francis, P. (2010) ‘Challenges in measuring online advertising systems', in Proceedings of the 10th annual conference on Internet measurement - IMC '10. the 10th annual conference, Melbourne, Australia: ACM Press, p. 81. doi: 10.1145/1879141.1879152. Halford, S. et al. (2018) ‘Understanding the production and circulation of social media data: Towards methodological principles and praxis', New Media & Society, 20(9), pp. 3341-3358. doi: 10.1177/1461444817748953. How Should Marketers Address Concerns About Ad Targeting? - eMarketer (no date). Available at: https://www.emarketer.com/Article/How-Should-Marketers-Address Concerns-About-Ad-Targeting/1007514 (Accessed: 24 July 2019). Huseynov, F. and Yıldırım, S. Ö. (2016) ‘Internet usersáttitudes toward business-toconsumer online shopping: A survey', Information Development, 32(3), pp. 452-465. doi: 10.1177/0266666914554812. Instagram annual revenue 2019 (no date) Statista. Available at: https://www.statista.com/statistics/271633/annual-revenue-of-instagram/ (Accessed: 18 July 2019). Katz, E., Lazarsfeld, P. F. and Roper, E. (2017) Personal Influence: The Part Played by People in the Flow of Mass Communications. Routledge. Kim, S. T. and Weaver, D. (2002) ‘Communication Research About the Internet: a Thematic Meta-analysis', New Media & Society, 4(4), pp. 518-538. doi: 10.1177/146144402321466796. Klapper, J. T. (1960) The effects of mass communication. Free Press. Krämer, B. and Conrad, J. (2017) ‘Social Ontologies Online: The Representation of Social Structures on the Internet', Social Media + Society, 3(1), p. 2056305117693648. doi: 10.1177/2056305117693648. Li, N. and Zhang, P. (no date) ‘Consumer Online Shopping Attitudes and Behavior: An Assessment of Research', p. 11. Livingstone, S. (2004) ‘The Challenge of Changing Audiences: Or, What is the Audience Researcher to Do in the Age of the Internet?', European Journal of Communication, 19(1), pp. 75-86. doi: 10.1177/0267323104040695. McGuigan, L. (2019) ‘Automating the audience commodity: The unacknowledged ancestry of programmatic advertising', New Media & Society, p. 1461444819846449. doi: 10.1177/1461444819846449. McQuail, D. (2010) McQuail's Mass Communication Theory. SAGE. Musso, M. and Merletti, F. (2016) ‘This is the future: A reconstruction of the UK business web space (1996-2001)', New Media & Society, 18(7), pp. 1120-1142. doi: 10.1177/1461444816643791. Neuman, W. R. and Guggenheim, L. (2011) ‘The Evolution of Media Effects Theory: A Six-Stage Model of Cumulative Research', Communication Theory, 21(2), pp. 169- 196. doi: 10.1111/j.1468-2885.2011.01381.x. Number of social media users worldwide 2010-2021 (no date) Statista. Available at: https://www.statista.com/statistics/278414/number-of-worldwide-social-networkusers/ (Accessed: 19 July 2019). Phillips, P. D. C., Phillips, D. C. and Burbules, N. C. (2000) Postpositivism and Educational Research. Rowman & Littlefield. Rahman, M. S. (2016) ‘The Advantages and Disadvantages of Using Qualitative and Quantitative Approaches and Methods in Language “Testing and Assessment” Research: A Literature Review', Journal of Education and Learning, 6(1), p. 102. doi: 10.5539/jel.v6n1p102. Schofield, J. W. (2007). Increasing the generalizability of qualitative research. In M. Hammersley (Ed.), Educational Research and Evidence-based Practice (pp. 181-203). London: SAGE Publications. Schumann, J. H., von Wangenheim, F. and Groene, N. (2014) ‘Targeted Online Advertising: Using Reciprocity Appeals to Increase Acceptance among Users of Free Web Services', Journal of Marketing, 78(1), pp. 59-75. doi: 10.1509/jm.11.0316. Sukamolson, S. (no date) ‘Fundamentals of Quantitative Research', p. 20. Thompson, D. V. and Malaviya, P. (2013) ‘Consumer-Generated Ads: Does Awareness of Advertising Co-Creation Help or Hurt Persuasion?', Journal of Marketing, 77(3), pp. 33-47. doi: 10.1509/jm.11.0403. ‘TV_Williams_long.pdf' (no date). Voorveld, H. A. M. et al. (2018) ‘Engagement with Social Media and Social Media Advertising: The Differentiating Role of Platform Type', Journal of Advertising, 47(1), pp. 38-54. doi: 10.1080/00913367.2017.1405754. Zhang, Y. et al. (2017) ‘Online Shopping and Social Media: Friends or Foes?', Journal of Marketing, 81(6), pp. 24-41. Zhu, F. and Zhang, X. (Michael) (2010) ‘Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics', Journal of Marketing, 74(2), pp. 133-148. doi: 10.1509/jm.74.2.133. Appendix List of Diagram Diagram 1: User profiling process (Bozdag,2013) .................................................... 35 List of Tables citation: Gomez, Barnett (2019) The Effects of Social Media on Users Attitude Toward Online Shopping. Masters thesis, Griffith College. document_url: http://go.griffith.ie/285/1/MAJPR%20%20Barnett%20Gomez%20-%20EffectsOfSocialMedia.pdf document_url: http://go.griffith.ie/285/2/bibliography.txt