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KRİPTO VARLIKLARIN TERCİH EDİLMESİNDE DİJİTAL PAZARLAMA ARAÇLARININ ROLÜ: YAPAY ZEKÂ COİNLERİ ÜZERİNE BİR UYGULAMA

Year 2025, Volume: 21 Issue: 3, 977 - 999, 30.09.2025

Abstract

Bu çalışmanın temel amacı, dijital pazarlama araçlarının önem düzeyini karşılaştırmalı olarak belirleyerek, pazarlama karar vericilerine stratejik bir yol haritası sunmaktır. Özellikle yapay zekâ tabanlı coinler üzerinden geliştirilen stratejiler değerlendirilmiştir. Araştırmada önce, dijital pazarlama araçlarının göreli önem dereceleri Analitik Hiyerarşi Prosesi (AHP) yöntemiyle belirlenmiş, ardından bu ağırlıklar kullanılarak alternatifler TOPSIS yöntemiyle sıralanmıştır. AHP sonuçlarına göre arama motoru pazarlaması %62,2 ile en etkili strateji olarak öne çıkarken bunu influencer pazarlama (%18,7) ve sosyal medya pazarlaması (%10,2) takip etmiştir. TOPSIS analizinde ise en yüksek yakınlık katsayısı sosyal medya reklam kampanyasına (0,936) ait olup bu strateji ilk sırada yer almıştır. Ardından kripto influencer iş birliği (0,801) ve Google Ads kampanyası (0,702) gelmektedir. Bulgular, AHP ve TOPSIS yöntemlerinin birlikte kullanılmasıyla stratejilerin hem önem düzeylerinin hem de uygulanabilirliğinin sistematik biçimde değerlendirilebileceğini göstermektedir. Araştırma, dijital varlık pazarlamasına ilişkin karar verme süreçlerine katkı sağlayacak bütüncül bir yöntemsel çerçeve sunmaktadır.

References

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  • Adhami, S., & Guégan, D. (2019). Crypto assets: the role of ICO tokens within a well-diversified portfolio. Journal of Industrial and Business Economics, 47, 219 - 241.
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  • Chen, L., Zhang, Y., & Cheng, H. (2024). Digital trust and investor behavior in crypto markets: A social media perspective. Journal of Interactive Marketing, 65, 101–118.
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  • https://www.coingecko.com/en/categories/artificial-intelligence sayfasından erişilmiştir. Erişim Tarihi: 13.11.2024.
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  • Duffett, R. G. (2015). Facebook advertising’s influence on intention-to-purchase and purchase amongst Millennials. Internet Research, 25(4), 498–526. https://doi.org/10.1108/IntR-01-2014-0020
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  • Eyal, I., & Sirer, E. G. (2018). Majority is not enough: Bitcoin mining is vulnerable. Communications of the ACM, 61(7), 95-102.
  • Feng, J., & Papatla, P. (2011). Advertising: Stimulant or Suppressant of Online Word of Mouth?. Journal of Interactive Marketing, 25, 75 - 84.
  • Forman, E. H., & Gass, S. I. (2001). The analytic hierarchy process—An exposition. Operations Research, 49(4), 469486.
  • Franco, P. (2014). Understanding Bitcoin: Cryptography, engineering and economics. John Wiley & Sons. Freberg, K., Graham, K., McGaughey, K., & Freberg, L. A. (2011). Who are the social media influencers? A study of public perceptions of personality. Public Relations Review, 37(1), 90–92. https://doi.org/10.1016/j.pubrev.2010.11.001
  • Giaduci, A., & Polinesi, F. (2019). Behavioral factors affecting investment decisions in digital currencies. Journal of Financial Innovation, 8(1), 1–20.
  • Haenlein, M., Anadol, E., Farnsworth, T., Hugo, H., Hunichen, J., & Welte, D. (2020). Navigating the New Era of Influencer Marketing: How to be Successful on Instagram, TikTok, & Co.. California Management Review, 63, 5 - 25.
  • Holaviotik, S. (2020). SEO strategies in the promotion of cryptocurrency tokens. Journal of Online Marketing Studies, 15(3), 58–72.
  • Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345.
  • Järvinen, J., & Karjaluoto, H. (2015). The use of Web analytics for digital marketing performance measurement. Industrial Marketing Management, 50, 117–127. https://doi.org/10.1016/j.indmarman.2015.04.009
  • Khalil, M. (2002). Selecting the appropriate project delivery method using AHP. International Journal of Project Management, 20, 469-474.
  • Kim, H., & Sutherland, J. (2024). Influencer marketing and perceived credibility in fintech investments. International Journal of Digital Marketing, 42(1), 75–92.
  • Leeflang, P., Verhoef, P., Dahlström, P., & Freundt, T. (2014). Challenges and solutions for marketing in a digital era. European Management Journal, 32, 1-12.
  • Leung, F., Gu, F., Li, Y., Zhang, J., & Palmatier, R. (2022a). Influencer Marketing Effectiveness. Journal of Marketing, 86, 93 - 115.
  • Leung, T., Chan, A., & Li, M. (2022b). Impact of celebrity endorsements on cryptocurrency adoption: Evidence from Generation Z. Journal of Consumer Psychology, 32(1), 105–117.
  • Li, F., Larimo, J., & Leonidou, L. (2020). Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda. Journal of the Academy of Marketing Science, 49, 51-70.
  • Li, J., & Yi, G. (2018). Toward a Factor Structure in Crypto Asset Returns. , 21, 56 - 66.
  • Lou, C., & Yuan, S. (2019). Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social
  • Mirhateri, S., Kargar, S., & Hosseini, M. (2019). The dark side of social media in cryptocurrency investments: A behavioral finance approach. International Journal of Financial Studies, 7(3), 1–16.
  • Mirtaheri, M., Abu-El-Haija, S., Morstatter, F., Steeg, G., & Galstyan, A. (2019). Identifying and Analyzing Cryptocurrency Manipulations in Social Media. IEEE Transactions on Computational Social Systems, 8, 607-617.
  • Monjezi, M., Dehghani, H., Singh, T.N., Sayadi, A.R., Gholinejad, A., (2010), Application of TOPSISmethod for selecting the most appropriate blast design, Arabian Journal of Geosciences
  • Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review.
  • Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., Tesconi, M., & Ferrara, E. (2020). Charting the Landscape of Online Cryptocurrency Manipulation. IEEE Access, 8, 113230-113245.
  • OECD. (2022). Crypto-assets: Key developments, regulatory concerns and responses. OECD Publishing. https://www.oecd.org/finance/crypto-assets-report.htm sayfasından erişilmiştir. Erişim Tarihi:15.03.2024 . Precourt, G. (2015). How Word of Mouth Works in Advertising. Journal of Advertising Research, 55, 2 - 3. Rashidi, T. H., Moghadam, F. B., & Ramezani, M. (2021). The impact of SEO-based journalism on digital marketing performance: Evidence from online content strategies. Journal of Content, Community & Communication, 13(1), 45–59.
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98.
  • Saaty., R. W. (1987). The Analytic Hierarchy Process—What İt İs And How İt İs Used. Mat/d Modelling. 9. 3-5, s. 161-176.
  • Saaty., T.L. (1990). How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research. 48.1, s. 9-26.
  • Thomas, J., Chen, C., & Iacobucci, D. (2022). Email Marketing as a Tool for Strategic Persuasion. Journal of Interactive Marketing, 57, 377 - 392.
  • Tiago, M., & Veríssimo, J. (2014). Digital marketing and social media: Why bother?. Business Horizons, 57, 703-708.
  • Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90–102. https://doi.org/10.1509/jmkg.73.5.90
  • Tsai, W.-H. S., & Men, L. R. (2017). Consumer engagement with brands on social network sites: A cross-cultural comparison. Journal of Research in Interactive Marketing, 11(1), 51–71.
  • Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29.
  • Zaghloul, E., Li, T., Mutka, M., & Ren, J. (2019). Bitcoin and Blockchain: Security and Privacy. IEEE Access, 7, 123456-123467.
  • Zyskind, G., Nathan, O., & Pentland, A. (2015). Decentralizing Privacy: Using Blokzincir to Protect Personal Data. In 2015 IEEE Security and Privacy Workshops.

"THE ROLE OF DIGITAL MARKETING TOOLS IN THE PREFERENCE OF CRYPTO ASSETS: AN APPLICATION ON ARTIFICIAL INTELLIGENCE COINS"

Year 2025, Volume: 21 Issue: 3, 977 - 999, 30.09.2025

Abstract

The primary aim of this study is to comparatively determine the importance levels of digital marketing tools and to provide a strategic roadmap for marketing decision-makers.. In the research, the relative importance levels of digital marketing tools were first determined using the Analytic Hierarchy Process (AHP) method, and then the alternatives were ranked using the TOPSIS method based on these weights.According to the AHP results, search engine marketing emerged as the most effective strategy with 62.2%, followed by influencer marketing (18.7%) and social media marketing (10.2%). In the TOPSIS analysis, the highest closeness coefficient was found for the social media advertising campaign (0.936), placing it in the first rank. It was followed by crypto influencer collaboration (0.801) and the Google Ads campaign (0.702). The findings show that by using the AHP and TOPSIS methods together, it is possible to systematically evaluate both the importance and applicability of the strategies. This research offers a holistic methodological framework that can contribute to decision-making processes related to digital asset marketing.

References

  • Adachi, D., & Aoyagi, J. (2020). Blokzincir and economic transactions. Cryptocurrency and Blokzincir Technology, 9-22.
  • Adhami, S., & Guégan, D. (2019). Crypto assets: the role of ICO tokens within a well-diversified portfolio. Journal of Industrial and Business Economics, 47, 219 - 241.
  • Al-Harbi, K. M. A.-S. (2001). Application of the AHP in project management. International Journal of Project Management, 19(1), 19–27.
  • Castro, J., Tito, E., Brandão, L., & Gomes, L. (2020). Crypto-assets portfolio optimization under the omega measure. The Engineering Economist, 65, 114 - 134.
  • Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing (7th ed.). Pearson Education. Chaffey, D., & Smith, P. R. (2022). Digital Marketing Excellence: Planning, Optimizing and Integrating Online Marketing. Routledge
  • Chen, L., Zhang, Y., & Cheng, H. (2024). Digital trust and investor behavior in crypto markets: A social media perspective. Journal of Interactive Marketing, 65, 101–118.
  • Chohan, U. W. (2021). Cryptocurrencies and the Future of Money. CASS Working Papers on Economics & National Affairs.
  • CoinGecko. (2024). Top Artificial Intelligence (AI) Crypto Coins by Market Cap.
  • https://www.coingecko.com/en/categories/artificial-intelligence sayfasından erişilmiştir. Erişim Tarihi: 13.11.2024.
  • Dey., P. K. (2012). Project risk management using multiple criteria decisionmaking technique and decision tree analysis: A case study of Indian oil refinery. Production Planning& Control, 23(12), 1-19.
  • Duffett, R. G. (2015). Facebook advertising’s influence on intention-to-purchase and purchase amongst Millennials. Internet Research, 25(4), 498–526. https://doi.org/10.1108/IntR-01-2014-0020
  • Ellis-Chadwick, F., & Doherty, N. F. (2012). Web advertising: The role of e-mail marketing. Journal of Business Research, 65(6), 843–848. https://doi.org/10.1016/j.jbusres.2011.01.005
  • Eyal, I., & Sirer, E. G. (2018). Majority is not enough: Bitcoin mining is vulnerable. Communications of the ACM, 61(7), 95-102.
  • Feng, J., & Papatla, P. (2011). Advertising: Stimulant or Suppressant of Online Word of Mouth?. Journal of Interactive Marketing, 25, 75 - 84.
  • Forman, E. H., & Gass, S. I. (2001). The analytic hierarchy process—An exposition. Operations Research, 49(4), 469486.
  • Franco, P. (2014). Understanding Bitcoin: Cryptography, engineering and economics. John Wiley & Sons. Freberg, K., Graham, K., McGaughey, K., & Freberg, L. A. (2011). Who are the social media influencers? A study of public perceptions of personality. Public Relations Review, 37(1), 90–92. https://doi.org/10.1016/j.pubrev.2010.11.001
  • Giaduci, A., & Polinesi, F. (2019). Behavioral factors affecting investment decisions in digital currencies. Journal of Financial Innovation, 8(1), 1–20.
  • Haenlein, M., Anadol, E., Farnsworth, T., Hugo, H., Hunichen, J., & Welte, D. (2020). Navigating the New Era of Influencer Marketing: How to be Successful on Instagram, TikTok, & Co.. California Management Review, 63, 5 - 25.
  • Holaviotik, S. (2020). SEO strategies in the promotion of cryptocurrency tokens. Journal of Online Marketing Studies, 15(3), 58–72.
  • Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345.
  • Järvinen, J., & Karjaluoto, H. (2015). The use of Web analytics for digital marketing performance measurement. Industrial Marketing Management, 50, 117–127. https://doi.org/10.1016/j.indmarman.2015.04.009
  • Khalil, M. (2002). Selecting the appropriate project delivery method using AHP. International Journal of Project Management, 20, 469-474.
  • Kim, H., & Sutherland, J. (2024). Influencer marketing and perceived credibility in fintech investments. International Journal of Digital Marketing, 42(1), 75–92.
  • Leeflang, P., Verhoef, P., Dahlström, P., & Freundt, T. (2014). Challenges and solutions for marketing in a digital era. European Management Journal, 32, 1-12.
  • Leung, F., Gu, F., Li, Y., Zhang, J., & Palmatier, R. (2022a). Influencer Marketing Effectiveness. Journal of Marketing, 86, 93 - 115.
  • Leung, T., Chan, A., & Li, M. (2022b). Impact of celebrity endorsements on cryptocurrency adoption: Evidence from Generation Z. Journal of Consumer Psychology, 32(1), 105–117.
  • Li, F., Larimo, J., & Leonidou, L. (2020). Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda. Journal of the Academy of Marketing Science, 49, 51-70.
  • Li, J., & Yi, G. (2018). Toward a Factor Structure in Crypto Asset Returns. , 21, 56 - 66.
  • Lou, C., & Yuan, S. (2019). Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social
  • Mirhateri, S., Kargar, S., & Hosseini, M. (2019). The dark side of social media in cryptocurrency investments: A behavioral finance approach. International Journal of Financial Studies, 7(3), 1–16.
  • Mirtaheri, M., Abu-El-Haija, S., Morstatter, F., Steeg, G., & Galstyan, A. (2019). Identifying and Analyzing Cryptocurrency Manipulations in Social Media. IEEE Transactions on Computational Social Systems, 8, 607-617.
  • Monjezi, M., Dehghani, H., Singh, T.N., Sayadi, A.R., Gholinejad, A., (2010), Application of TOPSISmethod for selecting the most appropriate blast design, Arabian Journal of Geosciences
  • Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review.
  • Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., Tesconi, M., & Ferrara, E. (2020). Charting the Landscape of Online Cryptocurrency Manipulation. IEEE Access, 8, 113230-113245.
  • OECD. (2022). Crypto-assets: Key developments, regulatory concerns and responses. OECD Publishing. https://www.oecd.org/finance/crypto-assets-report.htm sayfasından erişilmiştir. Erişim Tarihi:15.03.2024 . Precourt, G. (2015). How Word of Mouth Works in Advertising. Journal of Advertising Research, 55, 2 - 3. Rashidi, T. H., Moghadam, F. B., & Ramezani, M. (2021). The impact of SEO-based journalism on digital marketing performance: Evidence from online content strategies. Journal of Content, Community & Communication, 13(1), 45–59.
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98.
  • Saaty., R. W. (1987). The Analytic Hierarchy Process—What İt İs And How İt İs Used. Mat/d Modelling. 9. 3-5, s. 161-176.
  • Saaty., T.L. (1990). How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research. 48.1, s. 9-26.
  • Thomas, J., Chen, C., & Iacobucci, D. (2022). Email Marketing as a Tool for Strategic Persuasion. Journal of Interactive Marketing, 57, 377 - 392.
  • Tiago, M., & Veríssimo, J. (2014). Digital marketing and social media: Why bother?. Business Horizons, 57, 703-708.
  • Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90–102. https://doi.org/10.1509/jmkg.73.5.90
  • Tsai, W.-H. S., & Men, L. R. (2017). Consumer engagement with brands on social network sites: A cross-cultural comparison. Journal of Research in Interactive Marketing, 11(1), 51–71.
  • Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29.
  • Zaghloul, E., Li, T., Mutka, M., & Ren, J. (2019). Bitcoin and Blockchain: Security and Privacy. IEEE Access, 7, 123456-123467.
  • Zyskind, G., Nathan, O., & Pentland, A. (2015). Decentralizing Privacy: Using Blokzincir to Protect Personal Data. In 2015 IEEE Security and Privacy Workshops.
There are 45 citations in total.

Details

Primary Language Turkish
Subjects Business Administration
Journal Section Research Article
Authors

Onur Türker 0000-0002-5119-0313

Metehan Özırmak 0000-0002-0186-7883

Early Pub Date September 29, 2025
Publication Date September 30, 2025
Submission Date October 18, 2024
Acceptance Date May 9, 2025
Published in Issue Year 2025 Volume: 21 Issue: 3

Cite

APA Türker, O., & Özırmak, M. (2025). KRİPTO VARLIKLARIN TERCİH EDİLMESİNDE DİJİTAL PAZARLAMA ARAÇLARININ ROLÜ: YAPAY ZEKÂ COİNLERİ ÜZERİNE BİR UYGULAMA. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 21(3), 977-999. https://doi.org/10.17130/ijmeb.1569654