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Dijital Pazarlama Kampanyaları için Risk Analizi: Bulanık HTEA Yaklaşımı

Year 2024, Volume: 23 Issue: 3, 1093 - 1114, 30.07.2024
https://doi.org/10.21547/jss.1344187

Abstract

Dijital pazarlama, işletmelerin internet ve akıllı cihaz kullanan müşterilerine hızlı ve etkili bir şekilde ulaşmalarını sağlamakta oldukça işlevsel bir pazarlama yöntemidir. Dijital pazarlamanın tüketicilere erişim konusunda sahip olduğu hız ve onları harekete geçirme üstünlüğü, kampanya üreticileri için pek çok riski de beraberinde getirebilmektedir. Kampanyanın içeriği, paylaşımın teknik yönetimi ve varsa kampanya ünlüsünün yönetimi bileşenleri altında var olabilecek hata unsurları, kampanyaları başarısızlığa sürükleyip müşteri kaybına neden olabilmektedir. Bu noktada markanın gerçekleştirdiği dijital pazarlama kampanyasının başarısız olmasına neden olabilecek riskleri öngörmek hayati önem kazanmaktadır. Çalışma, dijital pazarlama kampanyalarının başarısızlığını risk analizi perspektifinden inceleyen öncü bir çalışma niteliğindedir. Dijital pazarlama kampanyalarının risk analizi için doğası gereği uzman görüşlerine mecbur kalınan problem alanlarında, uzman görüşleri ile kapsamlı risk analizi yapılmasını sağlayan Hata Türü ve Etki Analizi (HTEA) yöntemi ile analiz için gereken uzman görüşlerindeki muğlaklığı sayısallaştırıp daha etkin sonuçlara ulaşılmasını sağlayan bulanık mantıktan yararlanılmıştır. Metodoloji kapsamında, literatür incelemesi ve internet üzerinden erişilmiş 28 başarısız dijital pazarlama kampanyası aracılığıyla hata unsurları tanımlanmış, ardından da uzman yargıları ve bulanık mantık aracılığıyla hatalara yönelik değerlendirmeler yapılmıştır. Çalışma kapsamında elde edilen bulgulara göre, dijital pazarlama kampanyalarını başarısızlığa iten en riskli unsurların içerikle ilişkili ırkçılık, güzellik/mükemmellik algısı, cinsiyetçilik, şiddet/terör ile siyasi unsurlar olduğu görülmüş ve bu hataların en fazla müşteri kaybettirme potansiyeline sahip hatalar olduğu sonucuna varılmıştır.

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Risk Analysis for Digital Marketing Campaigns: Fuzzy FMEA Approach

Year 2024, Volume: 23 Issue: 3, 1093 - 1114, 30.07.2024
https://doi.org/10.21547/jss.1344187

Abstract

Digital marketing is a highly functional marketing method that enables businesses to reach customers using the internet and smart devices quickly and effectively. The speed of digital marketing in reaching consumers and its superiority in mobilising them can bring many risks for campaign producers. The content of the campaign, the technical management of posting and the management of the campaign celebrity, if any, can lead campaigns to failure and cause customer loss. At this point, it is vital to anticipate the risks that may cause the brand's digital marketing campaign to fail. This is a pioneering study that examines the failure of digital marketing campaigns from a risk analysis perspective. For the risk analysis of digital marketing campaigns, the Failure Mode and Effects Analysis (FMEA) method, which enables comprehensive risk analysis with expert opinions in problem areas where expert opinions are required by nature, and fuzzy logic, which quantifies the ambiguity in the expert opinions required for analysis and enables more effective results to be achieved, were used. Within the scope of the methodology, the elements of failure were identified through a literature review and 28 unsuccessful digital marketing campaigns accessed online, followed by evaluations of the failures through expert judgements and fuzzy logic. According to the findings of the study, the riskiest elements that push digital marketing campaigns to failure were found to be content-related racism, beauty/perception of perfection, sexism, violence/terrorism and political elements, and it was concluded that these failures have the potential to lose the most customers.

References

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  • Kingsnorth, S. (2022). Digital marketing strategy: An integrated approach to online marketing. 3rd edition. New York. Kogan Page.
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  • Kumru, M., Kumru, P. Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital. Applied Soft Computing, 13 (1), 721-733.
  • Kwate, N. O. A. (2014). Racism still exists: A public health intervention using racism “countermarketing” outdoor advertising in a black neighborhood. Journal of Urban Health, 91 (5), 851-872.
  • Lan, R., Fan, J. L. (2010). Complete metric on triangular fuzzy numbers and its application to decision-making. Journal of Systems Engineering, 25 (3), 313-319.
  • Leung, F. F., Gu, F. F., Palmatier, R. W. (2022). Online influencer marketing. Journal of the Academy of Marketing Science, 50, 226-251.
  • Leslie, J., Sunstein, C. R. (2007). Animal rights without controversy. Law and Contemporary Problems, 70 (1), 117-138.
  • McDermott, R. E., Mikulak, R. J. ve Beauregard, M. R. (2008). The basics of FMEA. CRC Press.
  • Mirela, N. E. (2015). Designing a framework for risk management in accounting field. Revista Economica, 67 (4).
  • Mojibian, M., Jafari Nodoushan, R., Shekari, H., Salmani, Z., Heydari, M., Mahinpoor, H. (2017). The role of human resources management in risk and safety management of patient (case study: Dr. Mojibiyan Hospital, Yazd). Journal of Community Health Research, 6 (4), 229-239.
  • Nadanyiova, M., Gajanova, L. Majerova, J., Lizbetinova, L. (2020). Influencer marketing and its impact on consumer lifestyles. Forum Scientiae Oeconomia, 8 (2), 109-120.
  • Opresnik, M. O. (2018). Effective social media marketing planning – How to develop a digital marketing plan. Springer International Publishing AG. 333-341.
  • Patrutiu Baltes, L. (2015). Content marketing - The fundamental tool of digital marketing. Bulletin of the Transilvania University of Braşov Series V: Economic Sciences 8 (57), 111-118.
  • Rahmati, S., Mahdavi, M. H., Ghoushchi, S. J., Tomaskova, H., Haseli, G. (2022). Assessment and prioritize risk factors of financial measurement of management control system for production companies using a hybrid Z-SWARA and Z-WASPAS with FMEA method: A meta-analysis. Mathematics, 10 (2), 253.
  • Rauniar, R., Rawski, G, Yang, J., Johnson, B. (2013). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information, 27 (1), 6-30.
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Details

Primary Language Turkish
Subjects Digital Marketing
Journal Section Business
Authors

Remzi Reha Durucasu 0000-0002-4491-9671

Fatma Yaşlı Şen This is me 0000-0002-0768-8392

Publication Date July 30, 2024
Submission Date August 16, 2023
Acceptance Date December 6, 2023
Published in Issue Year 2024 Volume: 23 Issue: 3

Cite

APA Durucasu, R. R., & Yaşlı Şen, F. (2024). Dijital Pazarlama Kampanyaları için Risk Analizi: Bulanık HTEA Yaklaşımı. Gaziantep University Journal of Social Sciences, 23(3), 1093-1114. https://doi.org/10.21547/jss.1344187