Research Article

A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection

Volume: 16 Number: 1 January 31, 2024
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A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection

Abstract

Social media advertisement is one of the hottest topics of marketing. This study aims to investigate the selection of social media advertising platforms with a worst-case analysis. In this scope, we propose a novel fuzzy multi-criteria decision making (MCDM) approach based on the robust portfolio optimization framework. We call it the Robust Theoretical Fuzzy Evaluation System (R-FES). We use a case study in the literature to demonstrate R-FES and compare its results with Fuzzy VIKOR’s results. We find with R-FES that the social media advertisement budget should be allocated almost equally. We also find that Spearman’s rank correlation of Fuzzy VIKOR and R-FES results equals -0.5643. That is, they give very different rankings. We emphasize that these results are specific to the case study and thus can not be generalized.

Keywords

Advertisement, Fuzzy set, Multi-criteria decision making, Robust optimization, Social media, VIKOR

References

  1. Ali, M. Y., Sultana, A., & Khan, A. F. M. K. (2016). Comparison of fuzzy multiplication operation on the triangular fuzzy number. IOSR Journal of Mathematics, 12(4-I), 35-41.
  2. Alwagait, E., Shahzad, B., & Alim, S. (2015). Impact of social media usage on students academic performance in Saudi Arabia. Computers in Human Behavior, 51, 1092-1097.
  3. Bandara, D. M. D. (2020). Impact of social media advertising on consumer buying behavior: with special reference to fast fashion industry. In Proceedings of the International Conference on Business & Information, 476-491. Berry, S. (2021). How to set a smart social advertising budget for 2021. Accessed on 7 March 2023 from https://www.webfx.com/blog/social-media/how-to-set-social-advertising-budget/.
  4. Chi, H. H. (2011). Interactive digital advertising vs. virtual brand community: Exploratory study of user motivation and social media marketing responses in Taiwan. Journal of interactive advertising, 12(1), 44-61.
  5. Chu, T. C. & Lin, Y. (2009). An extension to fuzzy MCDM. Computers & Mathematics with Applications, 57(3), 445-454.
  6. Çalık, A. (2020). Evaluation of social media platforms using best-worst method and fuzzy VIKOR methods: A case study of travel agency. Iranian Journal of Management Studies, 13(4), 645-672.
  7. Das, P. (2022). A prospective venue for marketing is social media marketing. RESEARCH REVIEW International Multidisciplinary Research Journal, 7(10), 7-23.
  8. Dateportal (2023). Digital 2023: Global overview report. Accessed on 7 March 2023 from https://datareportal.com/reports/digital-2023-global-overview-report.
  9. Dessart, L. (2017). Social media engagement: a model of antecedents and relational outcomes. Journal of Marketing Management, 33(5-6), 375-399.
  10. Di Felice, P., Di Valerio, D., Marinelli, M., Paolone, G., Pilotti, F., & Vellante, S. (2020). A technological platform and a process to implement the informative marketing strategy. In Proceedings of the 1st International Electronic Conference on Applied Sciences Session Computing and Artificial Intelligence, 1-7.
APA
Göktaş, F., & Gökerik, M. (2024). A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection. International Journal of Engineering Research and Development, 16(1), 373-382. https://doi.org/10.29137/umagd.1398580
AMA
1.Göktaş F, Gökerik M. A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection. IJERAD. 2024;16(1):373-382. doi:10.29137/umagd.1398580
Chicago
Göktaş, Furkan, and Mehmet Gökerik. 2024. “A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection”. International Journal of Engineering Research and Development 16 (1): 373-82. https://doi.org/10.29137/umagd.1398580.
EndNote
Göktaş F, Gökerik M (January 1, 2024) A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection. International Journal of Engineering Research and Development 16 1 373–382.
IEEE
[1]F. Göktaş and M. Gökerik, “A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection”, IJERAD, vol. 16, no. 1, pp. 373–382, Jan. 2024, doi: 10.29137/umagd.1398580.
ISNAD
Göktaş, Furkan - Gökerik, Mehmet. “A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection”. International Journal of Engineering Research and Development 16/1 (January 1, 2024): 373-382. https://doi.org/10.29137/umagd.1398580.
JAMA
1.Göktaş F, Gökerik M. A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection. IJERAD. 2024;16:373–382.
MLA
Göktaş, Furkan, and Mehmet Gökerik. “A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection”. International Journal of Engineering Research and Development, vol. 16, no. 1, Jan. 2024, pp. 373-82, doi:10.29137/umagd.1398580.
Vancouver
1.Furkan Göktaş, Mehmet Gökerik. A Novel Robust Theoretical Approach on Social Media Advertisement Platform Selection. IJERAD. 2024 Jan. 1;16(1):373-82. doi:10.29137/umagd.1398580

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