Araştırma Makalesi
BibTex RIS Kaynak Göster

Examination of the conceptual structure of publications on marketing and artificial intelligence: A bibliometric analysis

Yıl 2025, Cilt: 24 Sayı: Özel Sayı - İnovasyon ve Girişimcilik, 151 - 188, 28.03.2025

Öz

Rapid developments in technology and the proliferation of digital technologies enable the use of innovative applications oriented to artificial intelligence in many fields. Thanks to artificial intelligence research, advances in artificial intelligence technologies and innovations led to the use of artificial intelligence-based applications such as content generation, virtual assistants and personalization also in the field of marketing. In this context, the aim of the research is to determine the current trend and the conceptual structure of the field by examining the publications in the literature on the topic of marketing and artificial intelligence with bibliometric analysis method. In the Scopus database, publications with the English terms “marketing”, “artificial intelligence” and “AI” in their titles were searched, and 320 publications between the years of 1985 and 2023 were included in the research. R-bibliometrix program and the analysis results of the data obtained from the Scopus database were used in the research. To determine the conceptual structure, co-occurrence and thematic mapping analyses were carried out. In addition to word cloud and trend topics analysis, rank analysis was conducted to determine the authors, sources, institutions, countries and disciplinary areas with the most publications, and the productivity of the authors was evaluated with Lotka’s Law. It was seen that the field of marketing and artificial intelligence focused on artificial intelligence in marketing, machine learning and deep learning-based methods in marketing, data mining, artificial intelligence technologies topics. It was seen that the topic of artificial intelligence in marketing included not only the words related to marketing and artificial intelligence but also consumer, customer, consumer behavior, customer experience which were the words for the consumer as the addressee of artificial intelligence applications in marketing; innovation and creativity which indicated innovations; the words of privacy and ethics which indicated to be acted sensitively with regards to privacy of consumers. Thematic mapping showed that the main theme is the theme of artificial intelligence and revealed the thematic evolution of the field. Focusing specifically on the conceptual structure of the field of marketing and artificial intelligence by covering publications at the intersection of marketing and artificial intelligence topics, this study comprehensively analyzes the conceptual structure and current trend of the field by revealing both the main concepts and trending topics in the field as well as the main themes and thematic evolution of the field.

Kaynakça

  • Anand, A., Argade, P., Barkemeyer, R., & Salignac, F. (2021). Trends and patterns in sustainable entrepreneurship research: A bibliometric review and research agenda. Journal of Business Venturing, 36, 106092. doi:10.1016/j.jbusvent.2021.106092
  • Anayat, S., & Rasool, G. (2024). Artificial intelligence marketing (AIM): Connecting-the-dots using bibliometrics. Journal of Marketing Theory and Practice, 32(1), 114-135. doi:10.1080/10696679.2022.2103435
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. doi:10.1016/j.joi.2017.08.007
  • Cahlik, T. (2000). Comparison of the maps of science. Scientometrics, 49(3), 373-387. doi:10.1023/a:1010581421990
  • Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155-205. doi:10.1007/BF02019280
  • Cevher, M. F. (2023). Pazarlama alanında yapay zeka ile ilgili yapılan çalışmaların incelenmesi. S. Sarıbaş ve T. Akkuş (Ed.), Sosyal, insan ve idari bilimlerde yenilikçi çalışmalar (s. 539-559) içinde. İzmir: Duvar Yayınları. Erişim adresi: https://www.duvaryayinlari.com/icerik/e-kitaplar/sosyal-insan-ve-idari-bilimlerde-yenilikci-calismalar-editorler-doc-dr-serap-saribas-dr-ogr-uyesi-turgay-akkus
  • Chen, J., Li, H., Zhong, D., Xu, F., Ding, L., Tang, C., Guan, C., Lu, L., & Deng, J. (2023). A bibliometric analysis of acupuncture for neurodevelopmental disorders: A call for increased output and future research priorities. Heliyon, 9(12), e22799. doi:10.1016%2Fj.heliyon.2023.e22799
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166. doi:10.1016/j.joi.2010.10.002
  • Council of Europe (t.y.a). History of artificial intelligence. Erişim adresi: https://www.coe.int/en/web/artificial-intelligence/history-of-ai
  • Council of Europe (t.y.b). What’s AI? Erişim adresi: https://www.coe.int/en/web/artificial-intelligence/what-is-ai
  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42. doi:10.1007/s11747-019-00696-0
  • De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51, 91-105. doi:10.1016/j.intmar.2020.04.007
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. doi:10.1016/j.jbusres.2021.04.070
  • Ekinci, G., & Bilginer-Özsaatçi, F. G. (2023). Yapay zekâ ve pazarlama alanındaki yayınların bibliyometrik analizi. Sosyoekonomi, 31(56), 369-388. doi:10.17233/sosyoekonomi.2023.02.17
  • Elsevier (t.y.). Scopus: Comprehensive, multidisciplinary, trusted abstract and citation database. Elsevier. Erişim adresi: https://www.elsevier.com/products/scopus
  • Feng, C. M., Park, A., Pitt, L., Kietzmann, J., & Northey, G. (2021). Artificial intelligence in marketing: A bibliographic perspective. Australasian Marketing Journal, 29(3), 252-263. doi:10.1016/j.ausmj.2020.07.006
  • Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132. doi:10.1016/j.ijin.2022.08.005
  • Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50. doi:10.1007/s11747-020-00749-9
  • Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25. doi:10.1016/j.bushor.2018.08.004
  • Kurzweil, R. (2005). The singularity is near: When humans transcend biology. London: Duckworth Overlook.
  • Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323. Erişim adresi: https://www.jstor.org/stable/24529203
  • Marketing (t.y.). The Universal Marketing Dictionary içinde. Erişim adresi: https://marketing-dictionary.org/m/marketing/
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264-269. doi:10.7326/0003-4819-151-4-200908180-00135
  • Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106, 213-228. doi:10.1007/s11192-015-1765-5
  • Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404. doi:10.1016/j.jbusres.2020.10.044
  • Narong, D. K., & Hallinger, P. (2023). A keyword co-occurrence analysis of research on service learning: Conceptual foci and emerging research trends. Education Sciences, 13(4), 339. doi:10.3390/educsci13040339
  • Özer Çizer, E. (2022). Pazarlamada yapay zeka uygulamaları. A. Şen Taşbaşı, B. Er, E. Ülker, Ö. Kayhan Pusane (Ed.), Dijitalleşen Dünyada Birey, Toplum, Siyaset Kongresi Bildiri Kitabı (s. 16-32) içinde. İstanbul: Işık Üniversitesi Yayınları. Erişim adresi: https://acikerisim.isikun.edu.tr/xmlui/bitstream/handle/11729/5141/Dijitallesen_Dunyada_Birey_Toplum_Siyaset_Kongresi_Bildiri_Kitabi.pdf?sequence=3&isAllowed=y
  • Peyravi, B., Nekrošienė, J., & Lobanova, L. (2020). Revolutionised technologies for marketing: Theoretical review with focus on artificial intelligence. Verslas: Teorija ir praktika / Business: Theory and Practice, 21(2), 827-834. doi:10.3846/btp.2020.12313
  • Scopus (2024a). Analyze search results. Erişim adresi (16 Mart 2024): https://www.scopus.com/term/analyzer.uri?sort=plf-f&src=s&sid=255002c4931e167719ccd7bc39550af&sot=a&sdt=a&cluster=scopubyr%2c%222024%22%2cf%2bscosubtype%2c%22er%22%2cf%2c%22tb%22%2cf%2bscolang%2c%22Italian%22%2cf&sl=65&s=%28TITLE%28%22marketing%22%29+AND+TITLE%28%22artificial+intelligence%22+OR+%22ai%22%29%29&origin=resultslist&count=10&analyzeResults=Analyze+results
  • Scopus (2024b). Export filter counts. Erişim adresi (16 Mart 2024): https://www.scopus.com/results/results.uri?sort=plf-f&src=s&st1=%22marketing%22&st2=%22 artificial+intelligence%22+OR+%22ai%22&sid=255002c4931e167719ccda7bc39550af&sot=b&sdt=b&sl=65&s=%28TITLE%28%22marketing%22%29+AND+TITLE%28%22artificial+intelligence%22+OR+%22ai%22%29%29&origin=resultslist&editSaveSearch=&sessionSearchId=255002c4931e167719ccda7bc39550af&limit=10&cluster=scopubyr%2C%222024%22%2Cf%2Bscosubtype%2C%22er%22%2Cf%2C%22tb%22%2Cf%2Bscolang%2C%22Italian%22%2Cf
  • Thakur, J., & Kushwaha, B. P. (2024). Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis. Global Business and Organizational Excellence. 43(3), 139-155. doi:10.1002/joe.22233
  • Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. doi:10.1016/j.jjimei.2020.100002
  • Vlačić, B., Corbo, L., Costa e Silva, S., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187-203. doi:10.1016/j.jbusres.2021.01.055
  • Zhai, S., & Liu, Z. (2023). Artificial intelligence technology innovation and firm productivity: Evidence from China. Finance Research Letters, 58, Part B, 104437. doi:10.1016/j.frl.2023.104437

Pazarlama ve yapay zekâ konusundaki yayınların kavramsal yapısının incelenmesi: Bir bibliyometrik analiz

Yıl 2025, Cilt: 24 Sayı: Özel Sayı - İnovasyon ve Girişimcilik, 151 - 188, 28.03.2025

Öz

Teknolojideki hızlı gelişmeler ve dijital teknolojilerin yaygınlaşması, birçok alanda yapay zekâya yönelik inovatif uygulamaların kullanılmasına imkân vermektedir. Yapay zekâ araştırmaları sayesinde yapay zekâ teknolojilerindeki ilerlemeler ve inovasyonlar; içerik üretimi, sanal asistanlar ve kişiselleştirme gibi yapay zekâ tabanlı uygulamaların pazarlama alanında da kullanımına yol açmıştır. Bu bağlamda, araştırmanın amacı pazarlama ve yapay zekâ konusunda literatürde yer alan yayınları bibliyometrik analiz yöntemiyle inceleyerek mevcut eğilimi ve alanın kavramsal yapısını belirlemektir. Scopus veri tabanında, başlığında İngilizce “pazarlama”, “yapay zekâ” ve “YZ” terimleri bulunan yayınlar taranmış ve 1985-2023 yılları arasındaki 320 yayın araştırmaya dâhil edilmiştir. Araştırmada R-bibliometrix programı ve Scopus veri tabanından elde edilen verilerin analiz sonuçları kullanılmıştır. Kavramsal yapıyı belirlemek için eş birliktelik ve tematik haritalama analizleri yapılmıştır. Kelime bulutu ve trend konular analizinin yanı sıra, en çok yayına sahip yazarları, kaynakları, kurumları, ülkeleri, disiplin alanlarını belirlemek için sıralama analizi yapılmış ve yazarların verimliliği Lotka Yasası ile değerlendirilmiştir. Pazarlama ve yapay zekâ alanının, pazarlamada yapay zekâ, pazarlamada makine öğrenimine ve derin öğrenmeye dayalı yöntemler, veri madenciliği, yapay zekâ teknolojileri konularına odaklandığı görülmüştür. Pazarlamada yapay zekâ konusunun, sadece pazarlama ve yapay zekâyla ilgili kelimeleri değil ayrıca, pazarlamada yapay zekâ uygulamalarının muhatabı olan tüketiciyi belirten tüketici, müşteri, tüketici davranışı, müşteri deneyimi; yenilikleri belirten yaratıcılık ve inovasyon; tüketicilerin mahremiyeti açısından hassas davranılmasını belirten mahremiyet ve etik kelimelerini de içerdiği görülmüştür. Tematik haritalama, başlıca temanın yapay zekâ teması olduğunu göstermiş ve alanın tematik evrimini ortaya koymuştur. Pazarlama ve yapay zekâ konularının kesişimindeki yayınları kapsayarak, pazarlama ve yapay zekâ alanının özellikle kavramsal yapısına odaklanan bu çalışma, hem alandaki temel kavramları ve trend konuları hem de başlıca temaları ve alanın tematik evrimini ortaya koyarak alanın kavramsal yapısını ve mevcut eğilimi kapsamlı bir şekilde analiz etmektedir.

Kaynakça

  • Anand, A., Argade, P., Barkemeyer, R., & Salignac, F. (2021). Trends and patterns in sustainable entrepreneurship research: A bibliometric review and research agenda. Journal of Business Venturing, 36, 106092. doi:10.1016/j.jbusvent.2021.106092
  • Anayat, S., & Rasool, G. (2024). Artificial intelligence marketing (AIM): Connecting-the-dots using bibliometrics. Journal of Marketing Theory and Practice, 32(1), 114-135. doi:10.1080/10696679.2022.2103435
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. doi:10.1016/j.joi.2017.08.007
  • Cahlik, T. (2000). Comparison of the maps of science. Scientometrics, 49(3), 373-387. doi:10.1023/a:1010581421990
  • Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155-205. doi:10.1007/BF02019280
  • Cevher, M. F. (2023). Pazarlama alanında yapay zeka ile ilgili yapılan çalışmaların incelenmesi. S. Sarıbaş ve T. Akkuş (Ed.), Sosyal, insan ve idari bilimlerde yenilikçi çalışmalar (s. 539-559) içinde. İzmir: Duvar Yayınları. Erişim adresi: https://www.duvaryayinlari.com/icerik/e-kitaplar/sosyal-insan-ve-idari-bilimlerde-yenilikci-calismalar-editorler-doc-dr-serap-saribas-dr-ogr-uyesi-turgay-akkus
  • Chen, J., Li, H., Zhong, D., Xu, F., Ding, L., Tang, C., Guan, C., Lu, L., & Deng, J. (2023). A bibliometric analysis of acupuncture for neurodevelopmental disorders: A call for increased output and future research priorities. Heliyon, 9(12), e22799. doi:10.1016%2Fj.heliyon.2023.e22799
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166. doi:10.1016/j.joi.2010.10.002
  • Council of Europe (t.y.a). History of artificial intelligence. Erişim adresi: https://www.coe.int/en/web/artificial-intelligence/history-of-ai
  • Council of Europe (t.y.b). What’s AI? Erişim adresi: https://www.coe.int/en/web/artificial-intelligence/what-is-ai
  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42. doi:10.1007/s11747-019-00696-0
  • De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51, 91-105. doi:10.1016/j.intmar.2020.04.007
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. doi:10.1016/j.jbusres.2021.04.070
  • Ekinci, G., & Bilginer-Özsaatçi, F. G. (2023). Yapay zekâ ve pazarlama alanındaki yayınların bibliyometrik analizi. Sosyoekonomi, 31(56), 369-388. doi:10.17233/sosyoekonomi.2023.02.17
  • Elsevier (t.y.). Scopus: Comprehensive, multidisciplinary, trusted abstract and citation database. Elsevier. Erişim adresi: https://www.elsevier.com/products/scopus
  • Feng, C. M., Park, A., Pitt, L., Kietzmann, J., & Northey, G. (2021). Artificial intelligence in marketing: A bibliographic perspective. Australasian Marketing Journal, 29(3), 252-263. doi:10.1016/j.ausmj.2020.07.006
  • Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132. doi:10.1016/j.ijin.2022.08.005
  • Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50. doi:10.1007/s11747-020-00749-9
  • Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25. doi:10.1016/j.bushor.2018.08.004
  • Kurzweil, R. (2005). The singularity is near: When humans transcend biology. London: Duckworth Overlook.
  • Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323. Erişim adresi: https://www.jstor.org/stable/24529203
  • Marketing (t.y.). The Universal Marketing Dictionary içinde. Erişim adresi: https://marketing-dictionary.org/m/marketing/
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264-269. doi:10.7326/0003-4819-151-4-200908180-00135
  • Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106, 213-228. doi:10.1007/s11192-015-1765-5
  • Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404. doi:10.1016/j.jbusres.2020.10.044
  • Narong, D. K., & Hallinger, P. (2023). A keyword co-occurrence analysis of research on service learning: Conceptual foci and emerging research trends. Education Sciences, 13(4), 339. doi:10.3390/educsci13040339
  • Özer Çizer, E. (2022). Pazarlamada yapay zeka uygulamaları. A. Şen Taşbaşı, B. Er, E. Ülker, Ö. Kayhan Pusane (Ed.), Dijitalleşen Dünyada Birey, Toplum, Siyaset Kongresi Bildiri Kitabı (s. 16-32) içinde. İstanbul: Işık Üniversitesi Yayınları. Erişim adresi: https://acikerisim.isikun.edu.tr/xmlui/bitstream/handle/11729/5141/Dijitallesen_Dunyada_Birey_Toplum_Siyaset_Kongresi_Bildiri_Kitabi.pdf?sequence=3&isAllowed=y
  • Peyravi, B., Nekrošienė, J., & Lobanova, L. (2020). Revolutionised technologies for marketing: Theoretical review with focus on artificial intelligence. Verslas: Teorija ir praktika / Business: Theory and Practice, 21(2), 827-834. doi:10.3846/btp.2020.12313
  • Scopus (2024a). Analyze search results. Erişim adresi (16 Mart 2024): https://www.scopus.com/term/analyzer.uri?sort=plf-f&src=s&sid=255002c4931e167719ccd7bc39550af&sot=a&sdt=a&cluster=scopubyr%2c%222024%22%2cf%2bscosubtype%2c%22er%22%2cf%2c%22tb%22%2cf%2bscolang%2c%22Italian%22%2cf&sl=65&s=%28TITLE%28%22marketing%22%29+AND+TITLE%28%22artificial+intelligence%22+OR+%22ai%22%29%29&origin=resultslist&count=10&analyzeResults=Analyze+results
  • Scopus (2024b). Export filter counts. Erişim adresi (16 Mart 2024): https://www.scopus.com/results/results.uri?sort=plf-f&src=s&st1=%22marketing%22&st2=%22 artificial+intelligence%22+OR+%22ai%22&sid=255002c4931e167719ccda7bc39550af&sot=b&sdt=b&sl=65&s=%28TITLE%28%22marketing%22%29+AND+TITLE%28%22artificial+intelligence%22+OR+%22ai%22%29%29&origin=resultslist&editSaveSearch=&sessionSearchId=255002c4931e167719ccda7bc39550af&limit=10&cluster=scopubyr%2C%222024%22%2Cf%2Bscosubtype%2C%22er%22%2Cf%2C%22tb%22%2Cf%2Bscolang%2C%22Italian%22%2Cf
  • Thakur, J., & Kushwaha, B. P. (2024). Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis. Global Business and Organizational Excellence. 43(3), 139-155. doi:10.1002/joe.22233
  • Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. doi:10.1016/j.jjimei.2020.100002
  • Vlačić, B., Corbo, L., Costa e Silva, S., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187-203. doi:10.1016/j.jbusres.2021.01.055
  • Zhai, S., & Liu, Z. (2023). Artificial intelligence technology innovation and firm productivity: Evidence from China. Finance Research Letters, 58, Part B, 104437. doi:10.1016/j.frl.2023.104437
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Dijital Pazarlama
Bölüm Araştırma Makalesi
Yazarlar

Bora Açan 0000-0001-6380-897X

Yayımlanma Tarihi 28 Mart 2025
Gönderilme Tarihi 10 Ekim 2024
Kabul Tarihi 5 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 24 Sayı: Özel Sayı - İnovasyon ve Girişimcilik

Kaynak Göster

APA Açan, B. (2025). Pazarlama ve yapay zekâ konusundaki yayınların kavramsal yapısının incelenmesi: Bir bibliyometrik analiz. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 24(Özel Sayı - İnovasyon ve Girişimcilik), 151-188. https://doi.org/10.46928/iticusbe.1565058