Araştırma Makalesi

Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach

Cilt: 9 Sayı: 1 30 Haziran 2024
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Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach

Öz

This study examines how artificial intelligence technologies have transformed digital marketing trends, focusing on academic publications indexed in Scopus from 2010 to 2024. The rise of artificial intelligence in marketing has significantly impacted optimizing marketing strategies and enhancing data analysis capabilities. The aim is to assess current research trends, key findings, and future potential areas at artificial intelligence and digital marketing intersections through a bibliometric approach. The analysis was conducted using the "R" program's bibliometrix package, evaluating articles from Scopus databases based on selected keywords, frequency, citation counts, authors, sources, and subjects. Additionally, co-occurrence, network, and trend analysis methods were employed to reveal the main currents and relationships in the literature. The results indicate an increasingly significant impact of artificial intelligence on the field of digital marketing.

Anahtar Kelimeler

Kaynakça

  1. Ali Abbasi, G., Abdul Rahim, N. F., Wu, H., Iranmanesh, M., & Keong, B. N. C. (2022). Determinants of SME’s social media marketing adoption: competitive industry as a moderator. Sage Open, 12(1), https://doi.org/10.1177/21582440211067220
  2. Almeida, D., Naudé, W., & Sequeira, T. N. (2024). Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent? (No. 16766). Institute of Labor Economics (IZA).
  3. Alyoshina, I. V. (2020). Artificial Intelligence for University Marketing. Biruta Svagzdiene, Arturas Simanavicius, Edmundas Jasinskas, Vilius Vasilius, 17. https://doi.org/10.17747/teds-2020-17-21
  4. Anoir, L., Khaldi, M., & Erradi, M. (2024). Symbiotic Evolution: The Inextricable Relation between the Web and E-Learning. DIROSAT: Journal of Education, Social Sciences & Humanities, 2(1), 10-18. https://doi.org/10.58355/dirosat.v2i1.65
  5. Appio, F. P., Cesaroni, F., & Di Minin, A. (2014). Visualizing the structure and bridges of the intellectual property management and strategy literature: A document cocitation analysis. Scientometrics, 101(1), 623–661. https://doi.org/10.1007/s11192-014-1329-0
  6. Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  7. Ashworth, L., & Free, C. (2006). Marketing dataveillance and digital privacy: Using theories of justice to understand consumers’ online privacy concerns. Journal of Business Ethics, 67, 107-123. https://doi.org/10.1007/s10551-006-9007-7
  8. Batra, S., Saini, M., Yadav, M., & Aggarwal, V. (2022). Mapping the intellectual structure and demystifying the research trend of cross listing: a bibliometric analysis. Managerial Finance, 49(6), 992-1016. https://doi.org/10.1108/MF-07-2022-0330.

Ayrıntılar

Birincil Dil

İngilizce

Konular

İşletme , Dijital Pazarlama

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

4 Mayıs 2024

Yayımlanma Tarihi

30 Haziran 2024

Gönderilme Tarihi

9 Ocak 2024

Kabul Tarihi

4 Mart 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 9 Sayı: 1

Kaynak Göster

APA
Gökerik, M., & Aktaş, Ö. (2024). Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach. JOEEP: Journal of Emerging Economies and Policy, 9(1), 75-90. https://izlik.org/JA92JH94PC
AMA
1.Gökerik M, Aktaş Ö. Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach. JOEEP. 2024;9(1):75-90. https://izlik.org/JA92JH94PC
Chicago
Gökerik, Mehmet, ve Öznur Aktaş. 2024. “Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach”. JOEEP: Journal of Emerging Economies and Policy 9 (1): 75-90. https://izlik.org/JA92JH94PC.
EndNote
Gökerik M, Aktaş Ö (01 Haziran 2024) Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach. JOEEP: Journal of Emerging Economies and Policy 9 1 75–90.
IEEE
[1]M. Gökerik ve Ö. Aktaş, “Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach”, JOEEP, c. 9, sy 1, ss. 75–90, Haz. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA92JH94PC
ISNAD
Gökerik, Mehmet - Aktaş, Öznur. “Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach”. JOEEP: Journal of Emerging Economies and Policy 9/1 (01 Haziran 2024): 75-90. https://izlik.org/JA92JH94PC.
JAMA
1.Gökerik M, Aktaş Ö. Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach. JOEEP. 2024;9:75–90.
MLA
Gökerik, Mehmet, ve Öznur Aktaş. “Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach”. JOEEP: Journal of Emerging Economies and Policy, c. 9, sy 1, Haziran 2024, ss. 75-90, https://izlik.org/JA92JH94PC.
Vancouver
1.Mehmet Gökerik, Öznur Aktaş. Digital Marketing Trends Reshaped by Artificial Intelligence: A Bibliometric Approach. JOEEP [Internet]. 01 Haziran 2024;9(1):75-90. Erişim adresi: https://izlik.org/JA92JH94PC

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